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ORCIDCEC 2019: Wellington, New Zealand
- IEEE Congress on Evolutionary Computation, CEC 2019, Wellington, New Zealand, June 10-13, 2019. IEEE 2019, ISBN 978-1-7281-2153-6
- Adam Viktorin, Roman Senkerik, Michal Pluhacek
, Tomas Kadavy, Ales Zamuda:
DISH Algorithm Solving the CEC 2019 100-Digit Challenge. 1-6 - Daniel Molina, Francisco Herrera:
Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization. 7-13 - Sheng Xin Zhang, Wing Shing Chan, Kit-Sang Tang, Shao Yong Zheng:
Restart based Collective Information Powered Differential Evolution for Solving the 100-Digit Challenge on Single Objective Numerical Optimization. 14-18 - Janez Brest, Mirjam Sepesy Maucec, Borko Boskovic:
The 100-Digit Challenge: Algorithm jDE100. 19-26 - Peilan Xu, Wenjian Luo, Xin Lin, Yingying Qiao, Tao Zhu:
Hybrid of PSO and CMA-ES for Global Optimization. 27-33 - Abhishek Kumar, Rakesh Kumar Misra, Devender Singh, Swagatam Das:
Testing A Multi-Operator based Differential Evolution Algorithm on the 100-Digit Challenge for Single Objective Numerical Optimization. 34-40 - Fangfang Zhang, Yi Mei, Mengjie Zhang:
Can Stochastic Dispatching Rules Evolved by Genetic Programming Hyper-heuristics Help in Dynamic Flexible Job Shop Scheduling? 41-48 - Mazhar Ansari Ardeh, Yi Mei, Mengjie Zhang:
Transfer Learning in Genetic Programming Hyper-heuristic for Solving Uncertain Capacitated Arc Routing Problem. 49-56 - Fernando Garza-Santisteban, Roberto Sánchez-Pámanes, Luis Antonio Puente Rodríguez, Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín:
A Simulated Annealing Hyper-heuristic for Job Shop Scheduling Problems. 57-64 - Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Milan Tuba:
Dynamic Tree Growth Algorithm for Load Scheduling in Cloud Environments. 65-72 - Vlad-Ioan Lupoaie, Ivona-Alexandra Chili, Mihaela Elena Breaban, Madalina Raschip:
SOM-Guided Evolutionary Search for Solving MinMax Multiple-TSP. 73-80 - Christopher Rajah, Nelishia Pillay:
A Structure-Based Partial Solution Search for the Examination Timetabling Problem. 81-86 - Miguel Leon, Joaquín Ballesteros, Jonatan Tidare, Ning Xiong, Elaine Åstrand:
Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm. 87-94 - Grazziela P. Figueredo, Peng Shi, Andrew J. Parkes, Keith Evans, Jonathan M. Garibaldi, Ola Negm, Patrick James Tighe, Herbert F. Sewell, John Robertson:
A Hybrid Evolutionary Strategy to Optimise Early-Stage Cancer Screening. 95-102 - Hung Nguyen, Sushil J. Louis, Tin Nguyen:
MGKA: A genetic algorithm-based clustering technique for genomic data. 103-110 - Akemi Gálvez, Iztok Fister, Eneko Osaba, Iztok Fister Jr., Javier Del Ser, Andrés Iglesias:
Hybrid Modified Firefly Algorithm for Border Detection of Skin Lesions in Medical Imaging. 111-118 - Mahdi Abdollahi, Xiaoying Gao, Yi Mei, Shameek Ghosh, Jinyan Li:
An Ontology-based Two-Stage Approach to Medical Text Classification with Feature Selection by Particle Swarm Optimisation. 119-126 - Terry Truong, Pablo Moscato, Nasimul Noman:
A Computational Approach for Designing Combination Therapy in Combating Glioblastoma. 127-134 - Yaqing Hou, N. Jiang, Hongwei Ge, Qiang Zhang, Xinghua Qu, L. Feng, Abhishek Gupta:
Memetic Multi-agent Optimization in High Dimensions using Random Embeddings. 135-141 - Hanwei Zhu, Michael Kirley:
Deep Multi-agent Reinforcement Learning in a Common-Pool Resource System. 142-149 - Chun Yin Yip, Kwok Yip Szeto:
Searching for Leaders in Complex Networks with a Topological-Signature-Led Genetic Algorithm. 150-157 - Chen Yang, Kwok Yip Szeto:
Solving the Traveling Salesman Problem with a Multi-Agent System. 158-165 - Gengzhi Zhang, Liang Feng, Yuling Xie, Zhou Wu, Lin Chen:
Improving Reinforcement FALCON Learning in Complex Environment with Much Delayed Evaluation via Memetic Automaton. 166-173 - Tao Wang, Xingguang Peng, Yapei Wu, Jian Gao:
A GP Based Two-Layer Framework for Data-Driven Modeling of Swarm Self-Organizing Rules. 174-181 - Xiaofei Wang, Hui Zhao, Zhenglei Wei, Yajun Liang, Yintong Li, Tong Han:
A Novel CMA-ES with an Eigen Coordinates Framework for Parameter Identification in Photovoltaic Models. 182-190 - Qun Niu, Kecheng Jiang, Bing Liu:
A Novel Binary Negatively Correlated Search for Wind Farm Layout Optimization. 191-196 - Qun Niu, Han Wang, Yang Zhang:
Restart Covariance Matrix Adaptation Evolution Strategy for Solving Wind-integrated Emission Economic Dispatch Problems. 197-203 - Xin Zhang, Yang Lou, Shiu Yin Yuen, Zhou Wu, Yaodong He, Xiu Zhang:
Hybrid Artificial Bee Colony with Covariance Matrix Adaptation Evolution Strategy for Economic Load Dispatch. 204-209 - Zhenglei Wei, Changqiang Huang, Xiaofei Wang, Hongpeng Zhang:
Parameters identification of photovoltaic models using a novel algorithm inspired from nuclear reaction. 210-218 - Soheil Mohseni, Alan C. Brent, Daniel Burmester:
A Sustainable Energy Investment Planning Model Based on the Micro-Grid Concept Using Recent Metaheuristic Optimization Algorithms. 219-226 - Mohammed El-Abd:
Gaussian Bare-Bones Brain Storm Optimization Algorithm. 227-233 - Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Dejan Zivkovic, Milan Tuba:
Brain Storm Optimization Algorithm for Thermal Image Fusion using DCT Coefficients. 234-241 - Amit Rauniyar, Rahul Nath, Pranab K. Muhuri:
Modified Brain Storm Optimization Algorithm in Objective Space for Pollution-Routing Problem. 242-247 - Rahul Nath, Amit Rauniyar, Pranab K. Muhuri:
Brain Storm Optimization Algorithm in Objective Space for Reliability-Redundancy Allocation Problem. 248-253 - Cong Zhang, Xiaobin Xu, Yuhui Shi, Yimin Deng, Cong Li, Haibin Duan:
Binocular Pose Estimation for UAV Autonomous Aerial Refueling via Brain Storm Optimization. 254-261 - Rui Wang, Lianbo Ma, Tao Zhang, Shi Cheng, Yuhui Shi:
Brain Storm Optimization Algorithm Based on Improved Clustering Approach Using Orthogonal Experimental Design. 262-270 - Ying Wang, Zhile Yang, Yuanjun Guo, Juncheng Zhu, Xiaodong Zhu:
A novel multi-objective competitive swarm optimization algorithm for multi-modal multi objective problems. 271-278 - Shi Cheng, Hui Lu, Yi-Nan Guo, Xiujuan Lei, Jing Liang, Junfeng Chen, Yuhui Shi:
Dynamic Multimodal Optimization: A Preliminary Study. 279-285 - Kalyanbrata Maity, Raunak Sengupta, Sriparna Saha:
MM-NAEMO : Multimodal Neighborhood-sensitive Archived Evolutionary Many-objective Optimization Algorithm. 286-294 - Ruizhi Shi, Wu Lin, Qiuzhen Lin, Zexuan Zhu, Jianyong Chen:
Multimodal Multi-objective Optimization Using A Density-based One-by-One Update Strategy. 295-301 - Caitong Yue, Jing J. Liang, Bo-Yang Qu, Kunjie Yu, Hui Song:
Multimodal Multiobjective Optimization in Feature Selection. 302-309 - Hisao Ishibuchi, Yiming Peng, Ke Shang:
A Scalable Multimodal Multiobjective Test Problem. 310-317 - Weiming Liu, Yinda Zhou, Bin Li, Ke Tang:
Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization. 318-325 - Yuan Sun, Xiaodong Li, Andreas T. Ernst, Mohammad Nabi Omidvar:
Decomposition for Large-scale Optimization Problems with Overlapping Components. 326-333 - Lin Li, Wei Fang, Quan Wang, Jun Sun:
Differential Grouping with Spectral Clustering for Large Scale Global Optimization. 334-341 - Ting-Chen Wang, Chih-Yu Lin, Rung-Tzuo Liaw, Chuan-Kang Ting:
Empirical Analysis of Island Model on Large Scale Global Optimization. 342-349 - Hanan Hiba, Azam Asilian Bidgoli, Amin Ibrahim, Shahryar Rahnamayan:
CGDE3: An Efficient Center-based Algorithm for Solving Large-scale Multi-objective Optimization Problems. 350-358 - Daniel Molina, Arthur R. Nesterenko, Antonio LaTorre:
Comparing Large-Scale Global Optimization Competition winners in a real-world problem. 359-365 - Petr Bujok, Ales Zamuda:
Cooperative Model of Evolutionary Algorithms Applied to CEC 2019 Single Objective Numerical Optimization. 366-371 - Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin:
The Ensemble of Strategies and Perturbation Parameter in Self-organizing Migrating Algorithm Solving CEC 2019 100-Digit Challenge. 372-375 - Geng Zhang, Yuhui Shi, Jun Steed Huang:
Cooperative Optimization Algorithm for the 100-Digit Challenge. 376-380 - Jia-Fong Yeh, Ting-Yu Chen, Tsung-Che Chiang:
Modified L-SHADE for Single Objective Real-Parameter Optimization. 381-386 - Jiaxin Lu, Xinyu Zhou, Yong Ma, Mingwen Wang, Jianyi Wan, Wenjun Wang:
A Novel Artificial Bee Colony Algorithm with Division of Labor for Solving CEC 2019 100-Digit Challenge Benchmark Problems. 387-394 - Alexander Epstein, Mehmet Ergezer, Ian Marshall, William Shue:
GADE with Fitness-based Opposition and Tidal Mutation for Solving IEEE CEC2019 100-Digit Challenge. 395-402 - Forhad Zaman, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam, Carlos A. Coello Coello:
Evolutionary Algorithm for Project Scheduling under Irregular Resource Changes. 403-410 - Jingfang Chen, Ling Wang, Xiao He, Dexian Huang:
A Probability Model-based Memetic Algorithm for Distributed Heterogeneous Flow-Shop Scheduling. 411-418 - Thomas Philip Runarsson, Asgeir Orn Sigurpalsson:
Towards an evolutionary guided exact solution to elective surgery scheduling under uncertainty and ward restrictions. 419-425 - Eid Albalawi, Fujie Chen, Ruppa K. Thulasiram, Parimala Thulasiraman:
Effect of PSO Communication Topologies on Task Matching in Grid Computing. 426-433 - Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Active Sampling for Dynamic Job Shop Scheduling using Genetic Programming. 434-441 - Yali Wang, Steffen Limmer, Markus Olhofer, Michael T. M. Emmerich, Thomas Bäck:
Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms. 442-449 - Dennis J. N. J. Soemers, Éric Piette, Cameron Browne:
Biasing MCTS with Features for General Games. 450-457 - Valentin Antuori, Florian Richoux:
Constrained optimization under uncertainty for decision-making problems: Application to Real-Time Strategy games. 458-465 - William Price, Jacob Schrum:
Neuroevolution of Multimodal Ms. Pac-Man Controllers Under Partially Observable Conditions. 466-473 - Bryan Hollingsworth, Jacob Schrum:
Infinite Art Gallery: A Game World of Interactively Evolved Artwork. 474-481 - Navin K. Adhikari, Sushil J. Louis, Siming Liu:
Multi-objective cooperative co-evolution of micro for RTS games. 482-489 - Joël Enrico Lehner, Rolf Dornberger, Radovan Simic, Thomas Hanne:
Optimization of Multi-Robot Sumo Fight Simulation by a Genetic Algorithm to Identify Dominant Robot Capabilities. 490-496 - Cristian Greco, Lorenzo Gentile, Gianluca Filippi, Edmondo A. Minisci, Massimiliano Vasile, Thomas Bartz-Beielstein:
Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation. 497-505 - Gianluca Filippi, Massimiliano Vasile:
A Memetic Approach to the Solution of Constrained Min-Max Problems. 506-513 - Dongmei Wang, Lin Li, Long Chen:
An Efficient Genetic Algorithm for Active Space Debris Removal Planning. 514-521 - Rachana Gupta, Satyasai Jagannath Nanda:
A Binary NSGA-III for Unsupervised Band Selection in Hyper-spectral Satellite Images. 522-529 - Zhaohui Wang, Zhongshan Zhang, Yingwu Chen:
Multi-objective Optimization of Satellite-ground time synchronization Scheduling Problem. 530-537 - Li-Jiao Wu, Zhi-Hui Zhan, Xiao-Min Hu, Ping Guo, Yanchun Zhang, Jun Zhang:
Multi-runway Aircraft Arrival Scheduling: A Receding Horizon Control Based Ant Colony System Approach. 538-545 - William Irwin-Harris, Yanan Sun, Bing Xue, Mengjie Zhang:
A Graph-Based Encoding for Evolutionary Convolutional Neural Network Architecture Design. 546-553 - Ramya Anasseriyil Viswambaran, Gang Chen, Bing Xue, Mohammad Nekooei:
Evolutionary Design of Recurrent Neural Network Architecture for Human Activity Recognition. 554-561 - Jing J. Liang, Haotian Yang, Wenting Sun, Jiajia J. Gao:
PSO-based CNN for Keyword Selection on Google Ads. 562-569 - Tao Wu, Jiao Shi, Deyun Zhou, Yu Lei, Maoguo Gong:
A Multi-objective Particle Swarm Optimization for Neural Networks Pruning. 570-577 - Xu Tang, Handing Wang, Changzhe Jiao:
Multi-Objective Evolutionary Metric Learning for Image Retrieval Using Convolutional Neural Network Features. 578-585 - Thomas Watts, Bing Xue, Mengjie Zhang:
Blocky Net: A New NeuroEvolution Method. 586-593 - Hideyasu Sasaki:
Modeling Ant Nest Relocation at Low Active Ratio by Particle Swarm Optimization. 594-603 - Iuliia Kim, João Pedro Matos-Carvalho, Ilya I. Viksnin, Luís Miguel Campos, José Manuel Fonseca, André Mora, Sergey Chuprov:
Use of Particle Swarm Optimization in Terrain Classification based on UAV Downwash. 604-610 - George Tambouratzis:
PSO Optimal Parameters and Fitness Functions in an NLP Task. 611-618 - Simeng Lin, Na Geng, Jing Sun, Yong Zhang:
A grouping method based on improved PSO for task allocation in rescue environment. 619-626 - Yang Zhou, Sijia Tan, Yunchao Song, Fei Li:
Quantum Bacterial Foraging Optimization Based Interference Coordination in 3D-MIMO Systems. 627-633 - Caihua Chen, Peng Wang, Huachao Dong, Xinjing Wang:
Enhanced Water Cycle Algorithm with Active Learning and Return Strategy. 634-640 - Haozhen Dong, Liang Gao, Xinyu Li, Haorang Zhong, Bing Zeng:
Differential Evolution with Better and Nearest Option for Function Optimization. 641-645 - Jiawen Lu, Ling Wang:
A Bi-Strategy Based Optimization Algorithm for the Dynamic Capacitated Electric Vehicle Routing Problem. 646-653 - Yan Qiao, SiWei Zhang, NaiQi Wu, ZhiWu Li:
Optimization on ACC Systems and Layout Design for Maximizing Thermal Comfort and Energy Saving in Large Rooms - A Case Study. 654-659 - Chuge Wu, Ling Wang:
A Deadline-Aware Estimation of Distribution Algorithm for Resource Scheduling in Fog Computing Systems. 660-666 - Yuyan Han, Junqing Li, Yiping Liu, Zhi-xin Zheng, Yuxia Pan, Hongyan Sang, Lili Liu:
Migrating Birds Optimization for Lot-streaming flow shop scheduling problem. 667-672 - Thammarsat Visutarrom, Tsung-Che Chiang:
An Evolutionary Algorithm with Heuristic Longest Cycle Crossover for Solving the Capacitated Vehicle Routing Problem. 673-680 - Mayuko Sato, Yoshikazu Fukuyama, Mohammed El-Abd, Tatsuya Iizaka, Tetsuro Matsui:
Total Optimization of Energy Networks in Smart City by Cooperative Coevolution using Global-best Brain Storm Optimization. 681-688 - Julien Blanchard, Charlotte Beauthier, Timoteo Carletti:
A Surrogate-Assisted Cooperative Co-evolutionary Algorithm Using Recursive Differential Grouping as Decomposition Strategy. 689-696 - Hui Wang, Wenjun Wang, Songyi Xiao, Zhihua Cui, Wei Li, Huasheng Zhu, Shengqing Zhu:
Multi-strategy and Dimension Perturbation Ensemble of Artificial Bee Colony. 697-704 - Nasser R. Sabar, Ayad Turky, Andy Song:
Adaptive Multi-optimiser Cooperative Co-evolution for Large-Scale Optimisation. 705-712 - Ekhlas Masoudi Mansour, Abbas Ahmadi:
A Novel Clustering Algorithm Based on Fully-Informed Particle Swarm. 713-720 - Qiqi Duan, Chang Shao, Liang Qu, Yuhui Shi, Ben Niu:
When Cooperative Co-Evolution Meets Coordinate Descent: Theoretically Deeper Understandings and Practically Better Implementations. 721-730 - George Lacey, Annika Marie Schoene, Nina Dethlefs, Alexander P. Turner:
Modularity Within Artificial Gene Regulatory Networks. 731-738 - Gina M. B. Oliveira, Reslley G. O. Silva, Giordano B. S. Ferreira, Micael S. Couceiro, Laurence Rodrigues do Amaral, Patrícia Amâncio Vargas, Luiz Gustavo Almeida Martins:
A Cellular Automata-Based Path-Planning for a Cooperative and Decentralized Team of Robots. 739-746 - Claudiney R. Tinoco, Gina M. B. Oliveira:
Heterogeneous Teams of Robots using a Coordinating Model for Surveillance Task based on Cellular Automata and Repulsive Pheromone. 747-754 - Ismael Estalayo, Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Khan Muhammad, Akemi Gálvez, Andrés Iglesias:
Return, Diversification and Risk in Cryptocurrency Portfolios using Deep Recurrent Neural Networks and Multi-Objective Evolutionary Algorithms. 755-761 - Frederick Ditliac Atiah, Mardé Helbig:
Effects of Decision Models on Dynamic Multi-objective Optimization Algorithms for Financial Markets. 762-770 - Willa Ariela Syafruddin, Sajjad Dadkhah, Mario Köppen:
Blockchain Scheme Based on Evolutionary Proof of Work. 771-776 - Rahul Dubey, Sushil J. Louis, Aavaas Gajurel, Siming Liu:
Comparing Three Approaches to Micro in RTS Games. 777-784 - Daniel A. Ashlock, James Montgomery:
Applying an Adaptive Generative Representation to the Investigation of Affordances in Puzzles. 785-792 - Chang-Shing Lee, Mei-Hui Wang, Li-Chuang Chen, Yusuke Nojima, Tzong-Xiang Huang, Jinseok Woo, Naoyuki Kubota, Eri Sato-Shimokawara, Toru Yamaguchi:
A GFML-based Robot Agent for Human and Machine Cooperative Learning on Game of Go. 793-799 - Takuya Iwase, Ryo Takano, Fumito Uwano, Hiroyuki Sato, Keiki Takadama:
Niche Radius Adaptation in Bat Algorithm for Locating Multiple Optima in Multimodal Functions. 800-807 - Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
The Parameter Configuration Landscape: A Case Study on Particle Swarm Optimization. 808-814 - Yaxian Liu, Hui Lu, Shi Cheng, Yuhui Shi:
An Adaptive Online Parameter Control Algorithm for Particle Swarm Optimization Based on Reinforcement Learning. 815-822 - Tim Silhan, Stefan Oehmcke, Oliver Kramer:
Evolution of Stacked Autoencoders. 823-830 - Jin-Young Kim, Sung-Bae Cho:
Evolutionary Optimization of Hyperparameters in Deep Learning Models. 831-837 - Anuar Maratkhan, Ibrakhim Ilyassov, Madiyar Aitzhanov, M. Fatih Demirci, A. Murat Ozbayoglu:
Financial Forecasting using Deep Learning with an Optimized Trading Strategy. 838-844 - Runjia Sun, Yutian Liu:
Preference-based Multiobjective Evolutionary Algorithm for Power Network Reconfiguration. 845-849 - Shaimaa Seyam, Khaled H. M. Al-Hamed, Ali M. M. I. Qureshy, Ibrahim Dincer, Martin Agelin-Chaab, Shahryar Rahnamayan:
Multi-objective Optimization of Hydrogen Production in Hybrid Renewable Energy Systems. 850-857 - Md. Rabiul Islam, Haiyan Helen Lu, Md. Jahangir Hossain, Li Li:
A Comparison of Performance of GA, PSO and Differential Evolution Algorithms for Dynamic Phase Reconfiguration Technology of a Smart Grid. 858-865 - Shaolong Shi, Yifan Chen, Xin Yao, Mengjie Zhang:
Lightweight Evolution Strategies for Nanoswimmers-oriented In Vivo Computation. 866-872 - Xiang Li, Xinyu Fu, Zheng Lu, Ruibin Bai, Uwe Aickelin, Peiming Ge, Gong Liu:
Retrieving and ranking short medical questions with two stages neural matching model. 873-879 - Qurrat Ul Ain, Bing Xue, Harith Al-Sahaf, Mengjie Zhang:
Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection. 880-887 - Pedro H. L. S. P. Domingues, Roberto Zanetti Freire, Leandro dos Santos Coelho, Helon V. H. Ayala:
Bio-Inspired Multiojective Tuning of PID-Controlled Antilock Braking Systems. 888-895 - Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han:
Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems. 896-903 - Lingjie Li, Qiuzhen Lin, Jia Wang, Jianyong Chen, Zhong Ming:
A Novel Multiobjective Particle Swarm Optimization Algorithm with Dynamic Resource Allocation. 904-911 - Martin Schlueter, Masaharu Munetomo:
A Mixed-Integer Extension for ESA's Cassini1 Space Mission Benchmark. 912-919 - Michael Mayo, Maisa Daoud:
Data Normalisation using Differential Evolution and Aggregated Logistic Functions. 920-927 - Eliana Giovannitti, Luca Mannella, Andrea Marcelli, Giovanni Squillero:
Evolutionary Antivirus Signature Optimization. 928-935 - Zhenhua Li, Jingda Deng, Weifeng Gao, Qingfu Zhang, Hai-Lin Liu:
An Efficient Elitist Covariance Matrix Adaptation for Continuous Local Search in High Dimension. 936-943 - Luca de Oliveira Turci, Huibin Sun, Miaoshun Bai, Jingcheng Wang, Piao Hu:
Water pump station scheduling optimization using an improved genetic algorithm approach. 944-951 - David Kubon:
Extending a Genetic Algorithm for Good Spanners of Hypercubes. 952-957 - Jianping Luo, Xiongwen Huang, Xia Li, Kaizhou Gao:
A novel particle swarm optimizer for many-objective optimization. 958-965 - Ze Yang, Jing Liu, Kai Wu:
Learning of Boosting Fuzzy Cognitive Maps Using a Real-coded Genetic Algorithm. 966-973 - Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray, Michael J. Ryan:
Rollout based Heuristics for the Quantum Circuit Compilation Problem. 974-981 - Manal T. Adham, Peter J. Bentley:
Artificial Ecosystem Algorithm Applied to Multi-Line Steel Scheduling. 982-989 - Zifeng Zhou, Xiaoliang Ma, Zexuan Zhu:
Multi-objective memetic algorithm based on correlation priority for pickup-and-delivery problems. 990-997 - Yingying Duan, Jingjing Ma, Hao Li, Mingyang Zhang, Zedong Tang, Maoguo Gong:
Evolutionary Multiobjective Change Detection via Self-paced Learning and Fuzzy Clustering. 998-1005 - Sumit Mishra, Carlos A. Coello Coello:
An Approach for Non-domination Level Update Problem in Steady-State Evolutionary Algorithms With Parallelism. 1006-1013 - Zhenni Ren, Jing Liu:
Extracting Information Cores with Multi-property Using a Multiobjective Evolutionary Algorithm. 1014-1021 - Sumit Mishra, Carlos A. Coello Coello:
Parallel Best Order Sort for Non-dominated Sorting: A Theoretical Study Considering the PRAM-CREW Model. 1022-1029 - Yichao Tang, Xiong Li, Yinglong Zhang, Xuewen Xia, Ling Gui:
Dynamic Multi-swarm Global Particle Swarm Optimization. 1030-1037 - Guixiang Lai, Feipeng Li, Jiqiang Feng, Shi Cheng, Jian Cheng:
A LPSO-SGD algorithm for the Optimization of Convolutional Neural Network. 1038-1043 - Gao Li, Dabu Zhang, Yuhui Shi:
An Unknown Environment Exploration Strategy for Swarm Robotics Based on Brain Storm Optimization Algorithm. 1044-1051 - Xingyue Huang, Yizhou Chi, Yu Zhou:
Feature Selection of High Dimensional Data by Adaptive Potential Particle Swarm Optimization. 1052-1059 - Cheng Peng, Yangyang Li, Lei Cao, Licheng Jiao:
A Surrogate Model Assisted Quantum-inspired Evolutionary Algorithm for Hyperparameter Optimization in Machine Learning. 1060-1067 - Yingxia Chen, Cong Liu, Aimin Zhou, Guixu Zhang:
MIHS: A Multiobjective Pan-sharpening Method for Remote Sensing Images. 1068-1073 - Yukiko Orito, Yoshiko Hanada, Junzhi Li:
Search Space Reduction Model with Trigonometric Function for Linear Equality Constraint-handling: The Case of Portfolio Replication Problem. 1074-1080 - Qiang Liu, Jinliang Ding:
Reference Vector Based Multidirectional Prediction for Evolutionary Dynamic Multiobjective Optimization. 1081-1087 - Piao Hu, Jun Tong, Jingcheng Wang, Yue Yang, Luca de Oliveira Turci:
A hybrid model based on CNN and Bi-LSTM for urban water demand prediction. 1088-1094 - F. P. Da Costa, Pedro H. L. S. P. Domingues, Roberto Zanetti Freire, Leandro dos Santos Coelho, Ali Reza Tavakolpour-Saleh, Helon V. H. Ayala:
Genetic Algorithm for Topology Optimization of an Artificial Neural Network Applied to Aircraft Turbojet Engine Identification. 1095-1101 - Zedong Zheng, Shengxiang Yang:
A Two-layer Optimization Management Method for the Microgrid with Electric Vehicles. 1102-1109 - Wenjie Wang, Zeping Wu, Donghui Wang, Weihua Zhang:
Improved Sequential Approximate Optimization for Aerodynamic Design Benchmark Problem. 1110-1117 - Feng Xue, Lei Liu, Xiaoxia Chen, Xuhua Shi:
Crude Oil Distillation Optimization Using Surrogate-aided Constrained Evolutionary Optimization. 1118-1125 - Kai Wu, Jing Liu:
Classification-based Optimization with Multi-Fidelity Evaluations. 1126-1131 - Jianqiang Chen, Changshou Deng, Hu Peng, Yucheng Tan, Xinyu Zhou, Feng Wang:
Enhanced Brain Storm Optimization with Role-playing Strategy. 1132-1139 - Fenqiang Li, Hu Peng, Changshou Deng, Yi Zeng, Yucheng Tan, Wenjun Wang:
Brain Storm Optimization Algorithm based on Competition Mechanism. 1140-1147 - Lianbo Ma, Tao Zhang, Rui Wang, Guangming Yang, Yichuan Zhang:
PBAR: Parallelized Brain Storm Optimization for Association Rule Mining. 1148-1156 - Alexandre Maciel-Guerra, Grazziela P. Figueredo, Fernando J. Von Zuben, Eliane Marti, Jamie Twycross, Marcos J. C. Alcocer:
Microarray Feature Selection and Dynamic Selection of Classifiers for Early Detection of Insect Bite Hypersensitivity in Horses. 1157-1164 - Yushan Zhang, Han Huang, Zhifeng Hao, Zhou Hong:
Runtime Analysis of Pigeon-Inspired Optimizer Based on Average Gain Model. 1165-1169 - Yang Zhang, Huifeng Zhang, Ying Wang, Jiang Wu:
Optimized Scheduling Model for Isolated Microgrid of Wind-Photovoltaic-Thermal-Energy Storage System With Demand Response. 1170-1175 - Jiang Wu, Huifeng Zhang, Jinwei Li, Yang Zhang:
Scenario based stochastic optimal operated for hybrid energy system with random drift swarm optimization. 1176-1181 - Quoc Bao Diep:
Self-Organizing Migrating Algorithm Team To Team Adaptive - SOMA T3A. 1182-1187 - Yilan Wang, Jing Liu:
A Sparse Fireworks Algorithm for Gene Regulatory Network Reconstruction based on Fuzzy Cognitive Maps. 1188-1194 - Er Zhuo, Yunjie Deng, Zhewei Su, Peng Yang, Bo Yuan, Xin Yao:
An Experimental Study of Large-scale Capacitated Vehicle Routing Problems. 1195-1202 - Xiaoling Jin, Cuifen Bai, Zhebo Zhang, Shenyi Zhao, Haoran Wang, Zheng Yan, Lu Zhang, Sijie Chen:
Blockchain-enabled Transactive Method in Distributed Systems Considering Security Constraints. 1203-1207 - Taoyang Xu, Changgang Li, Yutian Liu, Chao Liu, Dawei Su, Chunlei Xu, Haiwei Wu:
Optimization of Emergency Load Shedding Based on Cultural Particle Swarm Optimization Algorithm. 1208-1212 - Lu Zhang, Biao Xu, Pengwei Cong, Yunjing Guo, Shujun Jiang, Rui Huang:
Bi-level Programming of AC/DC Hybrid Distribution Network Based on Improved Genetic Algorithm. 1213-1219 - Zhihui He, Hu Peng, Changshou Deng, Yucheng Tan, Zhijian Wu, Shuangke Wu:
A Spark-based Gaussian Bare-bones Cuckoo Search with dynamic parameter selection. 1220-1227 - Antonio Bolufé Röhler, Stephen Chen, Dania Tamayo-Vera:
An Analysis of Minimum Population Search on Large Scale Global Optimization. 1228-1235 - Yuan Fu, Hu Wang:
A Univariate Marginal Distribution Resampling Differential Evolution Algorithm with Multi-Mutation Strategy. 1236-1242 - Lydia Taw, Nishant Gurrapadi, Mariana Macedo, Marcos A. C. Oliveira, Diego Pinheiro, Carmelo J. A. Bastos Filho, Ronaldo Menezes:
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm. 1243-1250 - Francisco Chávez de la O, Antonio Vivas, María José Moñino, Francisco Fernández:
METSK-HD-Angeleno: How to predict fruit quality using Multiobjective Evolutionary learning of TSK systems. 1251-1258 - Nicholas R. Clayton, Hussein A. Abbass:
Machine Teaching in Hierarchical Genetic Reinforcement Learning: Curriculum Design of Reward Functions for Swarm Shepherding. 1259-1266 - Bo-Yang Qu, G. S. Li, Q. Q. Guo, Li Yan, Xuzhao Chai, Z. Q. Guo:
A Niching Multi-objective Harmony Search Algorithm for Multimodal Multi-objective Problems. 1267-1274 - L. Yan, G. S. Li, Y. C. Jiao, Bo-Yang Qu, Caitong Yue, S. K. Qu:
A Performance Enhanced Niching Multi-objective Bat algorithm for Multimodal Multi-objective Problems. 1275-1282 - Ali Bakhshi, Nasimul Noman, Zhiyong Chen, Mohsen Zamani, Stephan K. Chalup:
Fast Automatic Optimisation of CNN Architectures for Image Classification Using Genetic Algorithm. 1283-1290 - Han Li, Guiying Li:
Learning to Solve Capacitated Arc Routing Problems by Policy Gradient. 1291-1298 - Ali Haidar, Zohaib Md. Jan, Brijesh K. Verma:
Evolving One-Dimensional Deep Convolutional Neural Network: A Swarm based Approach. 1299-1305 - Mei-xian Song, Junqing Li, Yu-Yan Han, Zhi-xin Zheng:
Solving the vehicle routing problem with time window by using an improved brain strom optimization. 1306-1313 - Xiangyu Long, Shufan Wu, Benjie Cui, Zhongcheng Mu, Yixin Huang, Sunhao Chu:
Analysis of satellite observation task clustering based on the improved clique partition algorithm. 1314-1321 - Yonghao Du, Lining Xing, Yingguo Chen, Yuning Chen, Jian Xiong:
An Evolvable Real-time System of Integrated Satellite Scheduling based on Cooperative Neuro Evolution of Augmenting Topologies. 1322-1329 - Mahmoud A. Bokhari, Lujun Weng, Markus Wagner, Bradley Alexander:
Mind the gap - a distributed framework for enabling energy optimisation on modern smart-phones in the presence of noise, drift, and statistical insignificance. 1330-1337 - Michael O'Neill, Anthony Brabazon:
Mutational Robustness and Structural Complexity in Grammatical Evolution. 1338-1344 - Junhai Cao, Yimin Zhou, Ronghui Li, Juncheng Zhu:
Design of Optimal Ship Steering Active Disturbance Rejection Controller Based on Adaptive Particle Swarm Optimization. 1345-1350 - Carlos Eduardo M. Barbosa, Germano C. Vasconcelos:
Analysis of Cuckoo Search Efficiency. 1351-1358 - Qingling Zhu, Qingfu Zhang, Qiuzhen Lin, Jianyong Sun:
MOEA/D with Two Types of Weight Vectors for Handling Constraints. 1359-1365 - Fangfang Zhang, Yi Mei, Mengjie Zhang:
Evolving Dispatching Rules for Multi-objective Dynamic Flexible Job Shop Scheduling via Genetic Programming Hyper-heuristics. 1366-1373 - Jeffrey Hajewski, Suely Oliveira:
Two Simple Tricks for Fast Cache-Aware Parallel Particle Swarm Optimization. 1374-1381 - Rong Wang, Yuji Sato, Shaoying Liu:
Specification-based Test Case Generation with Genetic Algorithm. 1382-1389 - Pandiri Venkatesh, Alok Singh, Rammohan Mallipeddi:
A Multi-Start Iterated Local Search Algorithm for the Maximum Scatter Traveling Salesman Problem. 1390-1397 - Qianying Liu, Ben Niu, Jun Wang, Hong Wang, Li Li:
Nurse scheduling problem based on hydrologic cycle optimization. 1398-1405 - Sourodeep Bhattacharjee, Robin Gras:
Estimation of Distribution using Population Queue based Variational Autoencoders. 1406-1414 - Elizabeth Montero, Dario Canales, Germán Paredes-Belmar, Raúl Soto:
A Prize Collecting problem applied to a Real Milk Collection problem in Chile. 1415-1422 - João Pedro Gonçalves Moreira, Marcus Ritt:
Evolving task priority rules for heterogeneous assembly line balancing. 1423-1430 - Erik Garcia, Josu Ceberio, José Antonio Lozano:
Hybrid Heuristics for the Linear Ordering Problem. 1431-1438 - Youcef Djenouri, Djamel Djenouri, Asma Belhadi, Jerry Chun-Wei Lin, Ahcène Bendjoudi, Philippe Fournier-Viger:
A Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining. 1439-1445 - Ze-Xue Wu, Ko-Wei Huang, Jui-Le Chen, Chu-Sing Yang:
A Memetic Fuzzy Whale Optimization Algorithm for Data Clustering. 1446-1452 - Youcef Djenouri, Djamel Djenouri, Jerry Chun-Wei Lin, Asma Belhadi:
Single Scan Polynomial Algorithms for Frequent Itemset Mining in Big Databases. 1453-1460 - Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Youcef Djenouri, Philippe Fournier-Viger, Yuyu Zhang:
A Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining. 1461-1467 - Chun-Hao Chen, Ping Shih:
A Stock Trend Prediction Approach based on Chinese News and Technical Indicator Using Genetic Algorithms. 1468-1472 - Chun-Hao Chen, Wan-Yi Shen, Mu-En Wu, Tzung-Pei Hong:
A Divide-and-Conquer-based Approach for Diverse Group Stock Portfolio Optimization Using Island-based Genetic Algorithms. 1473-1471 - Alexander Hadjiivanov, Alan Blair:
Epigenetic evolution of deep convolutional models. 1478-1486 - Jon S. Knapp, Gilbert L. Peterson:
Natural Evolution Speciation for NEAT. 1487-1493 - Lukas Tomaszek, Ivan Zelinka:
On the Evolutionary Neural Network Creation Using Native Visibility Graph. 1494-1501 - Kuang-Pen Chou, Chin-Teng Lin, Wen-Chieh Lin:
A self-adaptive artificial bee colony algorithm with local search for TSK-type neuro-fuzzy system training. 1502-1509 - Tae-Young Kim, Sung-Bae Cho:
Particle Swarm Optimization-based CNN-LSTM Networks for Forecasting Energy Consumption. 1510-1516 - Ning Xue, Isaac Triguero, Grazziela P. Figueredo, Dario Landa-Silva:
Evolving Deep CNN-LSTMs for Inventory Time Series Prediction. 1517-1524 - Iztok Fister Jr., Andrés Iglesias, Akemi Gálvez, Javier Del Ser, Eneko Osaba, Iztok Fister:
Cooperative game concepts in solving global optimization. 1525-1532 - Hanan Hiba, Mohammed El-Abd, Shahryar Rahnamayan:
Improving SHADE with Center-based Mutation for Large-scale Optimization. 1533-1540 - Lei Zhou, Liang Feng, Kai Liu, Chao Chen, Shaojiang Deng, Tao Xiang, Siwei Jiang:
Towards Effective Mutation for Knowledge Transfer in Multifactorial Differential Evolution. 1541-1547 - José Yaír Guzmán-Gaspar, Efrén Mezura-Montes:
Robust Optimization Over Time with Differential Evolution using an Average Time Approach. 1548-1555 - Kiyoharu Tagawa:
Group-based Adaptive Differential Evolution For Chance Constrained Portfolio Optimization Using Bank Deposit and Bank Loan. 1556-1563 - Chen Jin, Pei-Wei Tsai, A. Kai Qin:
A Study on Knowledge Reuse Strategies in Multitasking Differential Evolution. 1564-1571 - Yu Xue, Weiwei Jia, Alex X. Liu:
A Particle Swarm Optimization with Filter-based Population Initialization for Feature Selection. 1572-1579 - Zohaib Md. Jan, Brijesh K. Verma:
Ensemble Classifier Optimization by Reducing Input Features and Base Classifiers. 1580-1587 - Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
A Novel Multi-objective Binary Differential Evolution Algorithm for Multi-label Feature Selection. 1588-1595 - Stanton R. Price, Derek T. Anderson, Steven R. Price:
GOOFeD: Extracting Advanced Features for Image Classification via Improved Genetic Programming. 1596-1603 - Marwa Hammami, Slim Bechikh, Chih-Cheng Hung, Lamjed Ben Said:
Weighted-Features Construction as a Bi-level Problem. 1604-1611 - Kourosh Neshatian, Lucianne Varn:
Feature Bundles and their Effect on the Performance of Tree-based Evolutionary Classification and Feature Selection Algorithms. 1612-1619 - Tetsuyuki Takahama, Setsuko Sakai:
An Equivalent Penalty Coefficient Method: An Adaptive Penalty Approach for Population-Based Constrained Optimization. 1620-1627 - Guanghong Han, Xi Chen:
A Bi-level Differential Evolutionary Algorithm for Constrained Optimization. 1628-1633 - Ruwang Jiao, Sanyou Zeng, Changhe Li, Witold Pedrycz:
Evolutionary Constrained Multi-objective Optimization using NSGA-II with Dynamic Constraint Handling. 1634-1641 - Kamrul Hasan Rahi, Hemant Kumar Singh, Tapabrata Ray:
Investigating the use of sequencing and infeasibility driven strategies for constrained optimization. 1642-1649 - Noëlie Cherrier, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié:
Consistent Feature Construction with Constrained Genetic Programming for Experimental Physics. 1650-1658 - Long Zhao, Jingxuan Wei:
A New Bi-level PSO Algorithm based on Dynamic Constraint Processing and Approximate Navigation. 1659-1663 - Genghui Li, Qingfu Zhang, Jianyong Sun, Zhonghua Han:
Radial Basis Function Assisted Optimization Method with Batch Infill Sampling Criterion for Expensive Optimization. 1664-1671 - Cheng He, Ran Cheng, Yaochu Jin, Xin Yao:
Surrogate-Assisted Expensive Many-Objective Optimization by Model Fusion. 1672-1679 - Puyu Jiang, Qi Zhou, Jun Liu, Yuansheng Cheng:
A Three-Stage Surrogate Model Assisted Multi-Objective Genetic Algorithm for Computationally Expensive Problems. 1680-1687 - Zan Yang, Haobo Qiu, Liang Gao, Chen Jiang, Liming Chen, Xiwen Cai:
A Novel Surrogate-assisted Differential Evolution for Expensive Optimization Problems with both Equality and Inequality Constraints. 1688-1695 - Xiwen Cai, Liang Gao, Fan Li:
Surrogate's Optima Assisted Evolutionary Algorithm for Optimization of Expensive Problems. 1696-1701 - Chang Zhou, Dunwei Gong, Yi-Nan Guo, Wenyin Gong:
A Preference-based Method of Updating the Surrogate Model by Broad Learning and Its Application. 1702-1709 - Ye Tian, Shangshang Yang, Xingyi Zhang, Yaochu Jin:
Using PlatEMO to Solve Multi-Objective Optimization Problems in Applications: A Case Study on Feature Selection. 1710-1717 - Wei Zheng, Jianyong Sun, Hui Li:
An Adaptive Parameter Tuning Strategy for Many-objective Evolutionary Algorithm. 1718-1725 - Qiqi Liu, Yaochu Jin, Martin Heiderich, Tobias Rodemann:
Adaptation of Reference Vectors for Evolutionary Many-objective Optimization of Problems with Irregular Pareto Fronts. 1726-1733 - Hiroaki Fukumoto, Akira Oyama:
Coverage Enhancement of MOEA/D-M2M for Problems with Difficult-to-Approximate Pareto Front Boundaries. 1734-1741 - Yi Chen, Aimin Zhou:
MOEA/D with An Improved Multi-Dimensional Mapping Coding Scheme for Constrained Multi-Objective Portfolio Optimization. 1742-1749 - Huiru Gao, Haifeng Nie, Ke Li:
Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons. 1750-1757 - Radomil Matousek, Tomas Hulka:
Stabilization of Higher Periodic Orbits of the Chaotic Logistic and Hénon Maps using Meta-evolutionary Approaches. 1758-1765 - Diego Oliva, Marcella S. R. Martins:
A Bayesian based Hyper-Heuristic approach for global optimization. 1766-1773 - Luis Filipe de Araújo Pessoa, Bernd Hellingrath, Fernando Buarque de Lima Neto:
Automatic Generation of Optimization Algorithms for Production Lot-Sizing Problems. 1774-1781 - Ravneil Nand, Anuraganand Sharma:
Meta-heuristic approaches to tackle Skill Based Group allocation of Students in Project Based Learning Courses. 1782-1789 - Iván Amaya, José Carlos Ortiz-Bayliss, Santiago E. Conant-Pablos, Hugo Terashima-Marín:
Hyper-heuristics Reversed: Learning to Combine Solvers by Evolving Instances. 1790-1797 - Laurent Moalic, Alexandre Gondran:
The sum coloring problem: a memetic algorithm based on two individuals. 1798-1805 - Arindam Dey, Aayush Agarwal, Pranav Dixit, Tandra Pal:
Genetic algorithm for Robust Total coloring of a Fuzzy graph. 1806-1813 - Sasa Janjic, Parimala Thulasiraman, Neil D. B. Bruce:
In-depth Evaluation and Experimental Analysis of a Weight Pruning Genetic Algorithm. 1814-1821 - Przemyslaw A. Grudniewski, Adam J. Sobey:
Do general Genetic Algorithms provide benefits when solving real problems? 1822-1829 - Ankur Sinha, Vaseem Shaikh:
Genetic Algorithm for Solving Spherical Optimization Problems. 1830-1837 - Amy Peerlinck, John Sheppard, Julie Pastorino, Bruce D. Maxwell:
Optimal Design of Experiments for Precision Agriculture Using a Genetic Algorithm. 1838-1845 - Gary B. Parker, Thomas B. Edwards:
Using a Genetic Algorithm to Replicate Allopatric Speciation. 1846-1851 - Keiki Takadama, Daichi Yamazaki, Masaya Nakata, Hiroyuki Sato:
Complex-Valued-based Learning Classifier System for POMDP Environments. 1852-1859 - Johnathan M. Melo Neto, Heder S. Bernardino, Helio J. C. Barbosa:
On the Impact of the Objective Function on Imbalanced Data using Cartesian Genetic Programming Neuroevolutionary Approaches. 1860-1867 - Moshe Sipper, Jason H. Moore, Ryan J. Urbanowicz:
Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems. 1868-1874 - Takato Tatsumi, Keiki Takadama:
Comparison of Statistical Table- and Non-Statistical Table-based XCS in Noisy Environments. 1875-1882 - Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama:
Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models. 1883-1890 - Kuan-Chun Huang, Yu-Wei Wen, Chuan-Kang Ting:
Enhancing k-Nearest Neighbors through Learning Transformation Functions by Genetic Programming. 1891-1897 - Yanan Yu, Anmin Zhu, Zexuan Zhu, Qiuzhen Lin, Jian Yin, Xiaoliang Ma:
Multifactorial Differential Evolution with Opposition-based Learning for Multi-tasking Optimization. 1898-1905 - Zedong Tang, Maoguo Gong, Fenlong Jiang, Hao Li, Yue Wu:
Multipopulation Optimization for Multitask Optimization. 1906-1913 - Xiaolong Zheng, Yu Lei, A. Kai Qin, Deyun Zhou, Jiao Shi, Maoguo Gong:
Differential Evolutionary Multi-task Optimization. 1914-1921 - Xinghua Qu, Yew-Soon Ong, Yaqing Hou, Xiaobo Shen:
Memetic Evolution Strategy for Reinforcement Learning. 1922-1928 - Yipeng Wang, Bin Xin, Lihua Dou, Zhihong Peng:
A Heuristic Initialized Memetic Algorithm for the Joint Allocation of Heterogeneous Stochastic Resources. 1929-1936 - Hui Song, A. Kai Qin, Pei-Wei Tsai, Jing J. Liang:
Multitasking Multi-Swarm Optimization. 1937-1944 - George Leu, Jiangjun Tang:
Survivable Networks via UAV Swarms Guided by Decentralized Real-Time Evolutionary Computation. 1945-1952 - Ggyebong Jang, Sung-Bae Cho:
Optimal Trajectory Path Generation for Jointed Structure of Excavator using Genetic Algorithm. 1953-1959 - Rui You, Wei-Neng Chen, Yue-Jiao Gong, Ying Lin, Jun Zhang:
A Histogram Estimation of Distribution Algorithm for Reversible Lanes Optimization Problems. 1960-1966 - Arnold F. Sagonda, Komla A. Folly:
Maximum Power Point Tracking in Solar PV Under Partial Shading Conditions Using Stochastic Optimization Techniques. 1967-1974 - Zeping Wu, Wenjie Wang, Donghui Wang, Weihua Zhang:
Global Sensitivity Analysis Using Augmented Radial Basis Function. 1975-1981 - Chaomin Luo, Saleh Alarabi, Zhuming Bi, Gene Eu Jan:
A Max-Min Ant System Approach to Autonomous Navigation. 1982-1987 - Ke Li, Zilin Xiang, Kay Chen Tan:
Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution. 1988-1995 - Hao Tong, Changwu Huang, Jialin Liu, Xin Yao:
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems. 1996-2003 - Suprayitno, Jyh-Cheng Yu:
Reliability-based Robust Design Optimization for Correlated Variables Using Sequential Surrogate assisted Evolutionary Algorithm. 2004-2009 - Chunna Li, Hai Fang, Chunlin Gong:
Expensive Inequality Constraints Handling Methods Suitable for Dynamic Surrogate-based Optimization. 2010-2017 - Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi:
A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. 2018-2025 - Zhonghua Han, Fei Liu, Chenzhou Xu, Keshi Zhang, Qingfu Zhang:
Efficient Multi-Objective Evolutionary Algorithm for Constrained Global Optimization of Expensive Functions. 2026-2033 - Hisao Ishibuchi, Linjun He, Ke Shang:
Regular Pareto Front Shape is not Realistic. 2034-2041 - Hao Wang, Chaoli Sun, Yaochu Jin, Shufen Qin, Haibo Yu:
A Multi-indicator based Selection Strategy for Evolutionary Many-objective Optimization. 2042-2049 - Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello:
On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms. 2050-2057 - Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi:
A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions. 2058-2065 - Sávio Menezes Sampaio, Celso G. Camilo-Junior:
IVF/GDE3 - In Vitro Fertilization method coupled to GDE3. 2066-2073 - Khizar Quresh, Shahryar Rahnamayan, Yuping He, Ramiro Liscano:
Enhancing LQR Controller Using Optimized Real-time System by GDE3 and NSGA-II Algorithms and Comparing with Conventional Method. 2074-2081 - Mehdi Abedi, Raymond Chiong, Rukshan Athauda, Hany Seidgar, Zbigniew Michalewicz, Andrew Sturt:
A Regional Multi-Objective Tabu Search Algorithm for a Green Heterogeneous Dial-A-Ride Problem. 2082-2089 - Changwu Huang, Bo Yuan, Yuanxiang Li, Xin Yao:
Automatic Parameter Tuning using Bayesian Optimization Method. 2090-2097 - Jose-manuel Urtasun, Elizabeth Montero:
An Study of Operator Design under an Adaptive approach for solving the Cross-docks Vehicle Routing Problem. 2098-2105 - Noriko Otani:
Generation of a Corporate Sound Logo Based on Symbiotic Evolution. 2106-2112 - Chun-Yien Chang, Ying-Ping Chen:
Fusing creative operations into evolutionary computation for composition: From a composer's perspective. 2113-2120 - Brae Stoltz, Alex Aravind:
MU_PSYC: Music Psychology Enriched Genetic Algorithm. 2121-2128 - Misaki Kitahashi, Hisashi Handa:
Application of Evolutionary Multiobjective Optimization in L1-Regularization of CNN. 2129-2135 - Takahiro Suzuki, Shingo Takeshita, Satoshi Ono:
Adversarial Example Generation using Evolutionary Multi-objective Optimization. 2136-2144 - Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza:
A study of Pareto-based methods for ensemble pool generation and aggregation. 2145-2152 - Qingxia Shang, L. Zhang, Liang Feng, Yaqing Hou, J. Zhong, Abhishek Gupta, Kay Chen Tan, H.-L. Liu:
A Preliminary Study of Adaptive Task Selection in Explicit Evolutionary Many-Tasking. 2153-2159 - Humyun Fuad Rahman, Ripon Kumar Chakrabortty, Michael J. Ryan:
An Effective Memetic Algorithm for Resource Constrained Project Scheduling Problem. 2160-2166 - Haoyuan Sun, Pablo Moscato:
A Memetic Algorithm for Symbolic Regression. 2167-2174 - Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda:
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. 2175-2182 - Diego Carvalho, Nícollas Silva, Tiago Trotta, Adriano C. M. Pereira, Fernando Mourão, Leonardo Rocha:
A Particle Swarm approach to mitigate the apparent diversity-accuracy dilemma in recommendation domains in recommendation domains. 2183-2190 - Carlos Segura, Gara Miranda, Eduardo Segredo, Joel Chacón Castillo:
A Novel Memetic Algorithm with Explicit Control of Diversity for the Menu Planning Problem. 2191-2198 - Zhimin Qiao, Liangjun Ke, Xiaoqiang Wang, Xin Lu:
Signal Control of Urban Traffic Network Based on Multi-Agent Architecture and Fireworks Algorithm. 2199-2206 - Eva Tuba, Ivana Strumberger, Nebojsa Bacanin, Raka Jovanovic, Milan Tuba:
Bare Bones Fireworks Algorithm for Feature Selection and SVM Optimization. 2207-2214 - Jun Yu, Hideyuki Takagi, Ying Tan:
Fireworks Algorithm for Multimodal Optimization Using a Distance-based Exclusive Strategy. 2215-2220 - Di Li, Danilo Vasconcellos Vargas, Kouichi Sakurai:
Universal Rules for Fooling Deep Neural Networks based Text Classification. 2221-2228 - Javier Maldonado, María Cristina Riff, Elizabeth Montero:
Improving Attack Detection of C4.5 using an Evolutionary Algorithm. 2229-2235 - Jonathan Hudson, Jörg Denzinger:
Using Exploratory Testing for Decision Support in Choosing a Security Mechanism. 2236-2243 - Jian Yin, Anmin Zhu, Zexuan Zhu, Yanan Yu, Xiaoliang Ma:
Multifactorial Evolutionary Algorithm Enhanced with Cross-task Search Direction. 2244-2251 - Eric O. Scott, Kenneth A. De Jong:
Automating Knowledge Transfer with Multi-Task Optimization. 2252-2259 - Wenlong Fu, Bing Xue, Xiaoying Gao, Mengjie Zhang:
Genetic Programming based Transfer Learning for Document Classification with Self-taught and Ensemble Learning. 2260-2267 - Ali Ahrari, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
A New Prediction Approach for Dynamic Multiobjective Optimization. 2268-2275 - Yiya Diao, Changhe Li, Sanyou Zeng, Michalis Mavrovouniotis, Shengxiang Yang:
Memory-based multi-population genetic learning for dynamic shortest path problems. 2276-2283 - Nam Le, Michael O'Neill, Anthony Brabazon:
How Learning Strategies Can Promote an Evolving Population in Dynamic Environments. 2284-2291 - Furong Ye, Carola Doerr, Thomas Bäck:
Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation. 2292-2299 - Marco S. Nobile, Paolo Cazzaniga, Daniel A. Ashlock:
Dilation Functions in Global Optimization. 2300-2307 - Marcus Gallagher:
Fitness Landscape Analysis in Data-Driven Optimization: An Investigation of Clustering Problems. 2308-2314 - Mohamed E. Abd Elaziz, Nabil Neggaz, Ahmed A. Ewees, Songfeng Lu:
Automatic Data Clustering based on Hybrid Atom Search Optimization and Sine-Cosine Algorithm. 2315-2322 - Slim Bechikh, Maha Elarbi, Chih-Cheng Hung, Sabrine Hamdi, Lamjed Ben Said:
A Hybrid Evolutionary Algorithm with Heuristic Mutation for Multi-objective Bi-clustering. 2323-2330 - Reshu Chaudhary, Hema Banati:
Peacock Algorithm. 2331-2338 - Hyunmin Cheong, Mehran Ebrahimi, Adrian Butscher, Francesco Iorio:
Configuration Design of Mechanical Assemblies using an Estimation of Distribution Algorithm and Constraint Programming. 2339-2346 - Joo Hock Ang, Cindy Goh, Ciel Thaddeus Choo, Juveno, Zhi Ming Lee, Vijay Prabhakarrao Jirafe, Yun Li:
Evolutionary Computation Automated Design of Ship Hull Forms for the Industry 4.0 Era. 2347-2354 - Chia-Ling Huang, Chen-Wei Jao, Xianyong Zhang, Wei-Chang Yeh, Vera Yuk Ying Chung, Jinhai Wang, Jun Yang, Yun-Zhi Jiang:
A new Method for Dynamic Economic Emission Dispatch Problem. 2355-2361 - Peiyu Cui, Boris Shabash, Kay C. Wiese:
EvoDNN - An Evolutionary Deep Neural Network with Heterogeneous Activation Functions. 2362-2369 - Michael Dubé, Sheridan K. Houghten, Daniel A. Ashlock:
Representation for Evolution of Epidemic Models. 2370-2377 - Rachel Brown, Daniel A. Ashlock:
Parameter Tuning of a Peak Fitting Algorithm with an Evolved Experimental Design. 2378-2385 - Douglas Winston Ribeiro Soares, Gustavo Teodoro Laureano, Celso Gonçalves Camilo Junior:
GAEEII: An Optimised Genetic Algorithm Endmember Extractor for Hyperspectral Unmixing. 2386-2393 - Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh:
A Benchmark of Population-Based Metaheuristic Algorithms for High-Dimensional Multi-Level Image Thresholding. 2394-2401 - Rohan Basu Roy, Anisha Halder Roy, Amit Konar, Atulya Nagar:
Design of a Computationally Economical Image Classifier using Generic Features. 2402-2409 - Guo Yu, Yaochu Jin, Markus Olhofer:
References or Preferences - Rethinking Many-objective Evolutionary Optimization. 2410-2417 - Wenjian Luo, Luming Shi, Xin Lin, Carlos A. Coello Coello:
The g̑-dominance Relation for Preference-Based Evolutionary Multi-Objective Optimization. 2418-2425 - Shufen Qin, Chaoli Sun, Yaochu Jin, Lier Lan, Ying Tan:
A New Selection Strategy for Decomposition-based Evolutionary Many-Objective Optimization. 2426-2433 - Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima:
Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems. 2434-2441 - Kendall Taylor, Xiaodong Li, Jeffrey Chan:
Improving Algorithm Response to Preference Changes in Multiobjective Optimisation Using Archives. 2442-2449 - Juanjuan Luo, Huadong Ma, Dongqing Zhou:
Multiobjective memetic algorithm for vital nodes identification in complex networks. 2450-2457 - Azam Asilian Bidgoli, Shahryar Rahnamayan, Sedigheh Mahdavi, Kalyanmoy Deb:
A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers. 2458-2465 - Nuno Lourenço, Bruno Cabral, Jorge Granjal:
Driving Profile using Evolutionary Computation. 2466-2473 - Mark Connor, David Fagan, Michael O'Neill:
Optimising Team Sport Training Plans With Grammatical Evolution. 2474-2481 - Yoshihiro Ohta, Hiroyuki Sato:
Evolutionary Optimization of Air-conditioning Schedule Robust for Temperature Forecast Errors. 2482-2489 - Chen Wang, Hui Ma, Gang Chen, Sven Hartmann:
Evolutionary Multitasking for Semantic Web Service Composition. 2490-2497 - Manou Rosenberg, James R. E. Fletcher, Mark Reynolds, Tim French, Lyndon While:
Identifying Isolated Microgrids in Rural Areas : An Evolutionary Algorithm Approach for a Graph Clustering Problem. 2498-2505 - James Alexander Hughes, Joseph Alexander Brown, Adil Mehmood Khan, Asad Masood Khattak, Mark Daley:
User and Task Identification of Smartwatch Data with an Ensemble of Nonlinear Symbolic Models. 2506-2513 - Yanyun Tao, Kaixin Wang, Yuzhen Zhang:
Evolutionary synthetic minority oversampling technique with random forest for warfarin dose prediction in Chinese patients. 2514-2520 - Pratik Dutta, Sriparna Saha:
A Weak Supervision Technique with a Generative Model for Improved Gene Clustering. 2521-2528 - Archana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
A Ranking Based Technique to Predict Protein Complexes. 2529-2536 - Neil Vaughan:
Evolution of Biological Eye in Computer Simulation. 2537-2543 - Will Pearson, Cao Truong Tran, Mengjie Zhang, Bing Xue:
Multi-Round Random Subspace Feature Selection for Incomplete Gene Expression Data. 2544-2551 - Sameh Al-Shihabi:
Ants for Identifying and Optimizing the Core Set K-Covering Problem. 2552-2558 - Jennifer Joyce M. Montemayor, Renato V. Crisostomo:
Feature Selection in Classification using Binary Max-Min Ant System with Differential Evolution. 2559-2566 - Michalis Mavrovouniotis, Iaê Santos Bonilha, Felipe Martins Müller, Georgios Ellinas, Marios M. Polycarpou:
Effective ACO-Based Memetic Algorithms for Symmetric and Asymmetric Dynamic Changes. 2567-2574 - Wei Hu, Chunlu Wang, Xingquan Zuo:
An Ant Colony Optimization based Approach to Adjust Public Transportation Network. 2575-2580 - Michalis Mavrovouniotis, Georgios Ellinas, Marios M. Polycarpou:
Electric Vehicle Charging Scheduling Using Ant Colony System. 2581-2588 - Benlian Xu, Mingli Lu, Jian Shi:
An Efficient Multi-Object Detection Approach with Chaotic Model of Ant Colony. 2589-2594 - Clodomir J. Santana Jr., Carmelo J. A. Bastos Filho, Mariana Macedo, Hugo Siqueira:
SBFSS: Simplified Binary Fish School Search. 2595-2602 - Quanlong Cui, Chuan Tang, Guiping Xu, Chunguo Wu, Xiaohu Shi, Yanchun Liang, Liang Chen, Heow Pueh Lee, Han Huang:
Surprisingly Popular Algorithm-Based Comprehensive Adaptive Topology Learning PSO. 2603-2610 - Jason Rhuggenaath, Alp Akcay, Yingqian Zhang, Uzay Kaymak:
A PSO-based Algorithm for Reserve Price Optimization in Online Ad Auctions. 2611-2619 - Mahdi Bidar, Malek Mouhoub:
Self-Adaptive Discrete Firefly Algorithm for Minimal Perturbation in Dynamic Constraint Satisfaction Problems. 2620-2627 - Shin Yasukawa, Toshimichi Saito:
A Multi-Objective Problem in a PSO-based Control System for Maximum Power Point Tracking. 2628-2633 - Kunjie Yu, Shilei Ge, Bo-Yang Qu, Jing J. Liang:
A Modified Particle Swarm Optimization for Parameters Identification of Photovoltaic Models. 2634-2641 - George Mweshi, Nelishia Pillay:
A Grammatical Evolution Approach for the Automated Generation of Perturbative Heuristics. 2642-2648 - Hao Wang, Yitan Lou, Thomas Bäck:
Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution. 2649-2656 - Christian Raymond, Qi Chen, Bing Xue, Mengjie Zhang:
Genetic Programming with Rademacher Complexity for Symbolic Regression. 2657-2664 - Jinghui Zhong, Linhao Li, Weili Liu, Liang Feng, Xiao-Min Hu:
A Co-evolutionary Cartesian Genetic Programming with Adaptive Knowledge Transfer. 2665-2672 - Dhruv Khandelwal, Maarten Schoukens, Roland Tóth:
Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming. 2673-2680 - Boxiong Tan, Hui Ma, Yi Mei:
A Hybrid Genetic Programming Hyper-Heuristic Approach for Online Two-level Resource Allocation in Container-based Clouds. 2681-2688 - Rahul Kala:
Evolutionary Planning for Multi-User Multi-Task Missions. 2689-2696 - Akanksha Bhardwaj, Rahul Kala:
Sensor based Evolutionary Mission Planning. 2697-2704 - Jack Collins, Ben Cottier, David Howard:
Comparing Direct and Indirect Representations for Environment-Specific Robot Component Design. 2705-2712 - Danielle Nagar, Alexander Furman, Geoff Nitschke:
The Cost of Complexity in Robot Bodies. 2713-2720 - Shuang Yu, Andy Song, Aldeida Aleti:
A Study on Online Hyper-heuristic Learning for Swarm Robots. 2721-2728 - Pavlos Androulakakis, Zachariah E. Fuchs:
The Effects of Controller Representation on the Evolution of the Variable Speed Turn-Circle Intercept Problem. 2729-2737 - Mohammed Qasem, Parimala Thulasiraman:
Evaluation and Validation of Semi-Supervised Ant-inspired Sentence-Level Sentiment Prediction Clustering. 2738-2745 - Liang Qu, Yuhui Shi:
Gradient-free Algorithms for Graph Embedding. 2746-2752 - Sriparna Saha, Debanjan Sarkar, Stefan Kramer:
Exploring Multi-Objective Optimization for Multi-Label Classifier Ensembles. 2753-2760 - Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb, Mitra Rahnamayan:
A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm. 2761-2770 - Yue Liu, Adam Ghandar, Georgios Theodoropoulos:
Island Model Genetic Algorithm for Feature Selection in Non-Traditional Credit Risk Evaluation. 2771-2778 - Wenbin Pei, Bing Xue, Lin Shang, Mengjie Zhang:
New Fitness Functions in Genetic Programming for Classification with High-dimensional Unbalanced Data. 2779-2786 - Prateek Mittal, Kishalay Mitra:
Variable Grid Resolution based Evolutionary Multi-objective optimization towards Micro-siting. 2787-2793 - Weizhen Hu, Min Jiang, Xing Gao, Kay Chen Tan, Yiu-ming Cheung:
Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine. 2794-2799 - Hui Ma, Alexandre Sawczuk da Silva, Wentao Kuang:
NSGA-II with Local Search for Multi-objective Application Deployment in Multi-Cloud. 2800-2807 - Rakesh Kumar Sanodiya, Sriparna Saha, Jimson Mathew, Michelle Davies Thalakottur, Utkarshinee Aadya:
Multi-objective Approach for Semi-Supervised Discriminant Analysis with Relative Distance. 2808-2815 - Noel Farrugia, Johann A. Briffa, Victor Buttigieg:
Solving the Multi-Commodity Flow Problem using a Multi-Objective Genetic Algorithm. 2816-2823 - Huynh Thi Thanh Binh, Nguyen Quoc Tuan, Doan Cao Thanh Long:
A multi-objective multi-factorial evolutionary algorithm with reference-point-based approach. 2824-2831 - Soheila Sadeghiram, Hui Ma, Gang Chen:
Composing Distributed Data-intensive Web Services Using a Flexible Memetic Algorithm. 2832-2839 - Tsenguun Tsogbadrakh, Matthew Spradling:
Genetic Approach to Stable Partitioning in Online Role Based Hedonic Games. 2840-2847 - Soo Ling Lim, Peter J. Bentley:
Diversity Improves Teamwork: Optimising Teams using a Genetic Algorithm. 2848-2855 - Robert Chin, Jonathan E. Rowe:
Re-parametrising Cost Matrices for Tuning Model Predictive Controllers. 2856-2863 - Prasunika Khare, Satyasai Jagannath Nanda, Rahul Kumar Vijay:
Clustering Networks Based on Physarum Optimization for Seismic Catalogs Analysis. 2864-2871 - Roman Senkerik, Tomas Kadavy, Adam Viktorin, Michal Pluhacek:
Ensemble of Strategies and Perturbation Parameter Based SOMA for Constrained Technological Design Optimization Problem. 2872-2877 - Pavel Krömer, Jan Janousek, Jan Platos:
Random Key Self-Organizing Migrating Algorithm for Permutation Problems. 2878-2885 - Lukas Tomaszek, Mohammed Chadli:
On the Particle Swarm Optimization Control Using Analytic Programming and Self Organizing Migrating Algorithm. 2886-2893 - Askhat I. Diveev, Elena A. Sofronova, Elizaveta Yu. Shmalko:
Modified SOMA for Optimal Control Problem*. 2894-2899 - Petr Gajdos, Marek Behálek, Jan Janousek, Pavel Krömer:
QDSOMA: Towards the Utilization of Quantum Computing within SOMA. 2900-2907 - Tomas Kadavy, Michal Pluhacek, Roman Senkerik, Adam Viktorin:
Introducing Self-Adaptive Parameters to Self-organizing Migrating Algorithm. 2908-2914 - Pham Dinh Thanh, Huynh Thi Thanh Binh, Do Dinh Dac, Nguyen Binh Long, Le Minh Hai Phong:
A Heuristic Based on Randomized Greedy Algorithms for the Clustered Shortest-Path Tree Problem. 2915-2922 - Nguyen Thi Hanh, Huynh Thi Thanh Binh, Nguyen Van Son, Phan Ngoc Lan:
Minimal Node Placement for Ensuring Target Coverage With Network Connectivity and Fault Tolerance Constraints in Wireless Sensor Networks. 2923-2930 - Christoph Waibel, Ralph Evins, Jan Carmeliet:
Clustering and Ranking Based Methods for Selecting Tuned Search Heuristic Parameters. 2931-2940 - Hemant K. Singh, Benjamin Campbell, Saber M. Elsayed, Anthony Perry, Robert A. Hunjet, Hussein A. Abbass:
Modulation of Force Vectors for Effective Shepherding of a Swarm: A Bi-Objective Approach. 2941-2948 - Yong-Wei Zhang, Saman K. Halgamuge:
Similarity of Continuous Optimization Problems from the Algorithm Performance Perspective. 2949-2957 - Zohra Beldi, Malika Bessedik:
A New Brainstorming Based Algorithm for the Community Detection Problem. 2958-2965 - Maisa Daoud, Michael Mayo, Sally Jo Cunningham:
RBFA: Radial Basis Function Autoencoders. 2966-2973 - Aleksandra Kardas, Michal Kawulok, Jakub Nalepa:
On Evolutionary Classification Ensembles. 2974-2981 - Zheming Zhang, Will N. Browne, Dale A. Carnegie:
XCS with Combined Reward Method (XCSCR) for Policy Search in Multistep Problems. 2982-2989 - Priyanka Devi Pantula, Kishalay Mitra:
An Evolutionary Machine Learning Approach Towards Less Conservative Robust Optimization. 2990-2997 - Daniel A. Ashlock, Amanda Saunders, James Marshall, David Calder:
Modelling Standard Work with Simple Virtual Agents. 2998-3005 - Qi Chen, Bing Xue, Mengjie Zhang:
Instance based Transfer Learning for Genetic Programming for Symbolic Regression. 3006-3013 - Leandro Aparecido Passos, Douglas Rodrigues, João Paulo Papa:
Quaternion-Based Backtracking Search Optimization Algorithm. 3014-3021 - Kangjing Li, Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam:
Quantum Differential Evolution: an Investigation. 3022-3029 - Mokhtar Essaid, Mathieu Brévilliers, Julien Lepagnot, Lhassane Idoumghar, Daniel Fodorean:
Hybrid parameter adaptation strategy for differential evolution to solve real-world problems. 3030-3036 - Stephen Chen, Antonio Bolufé Röhler, James Montgomery, Tim Hendtlass:
An Analysis on the Effect of Selection on Exploration in Particle Swarm Optimization and Differential Evolution. 3037-3044 - Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Marc Schoenauer:
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints. 3045-3052 - Saku Kukkonen, Carlos A. Coello Coello:
A Simple and Effective Termination Condition for Both Single- and Multi-Objective Evolutionary Algorithms. 3053-3059 - Samuel Dustin Stanley, Khalid Kattan, Robert G. Reynolds:
CAPSO: A Parallelized Multiobjective Cultural Algorithm Particle Swarm Optimizer. 3060-3069 - Omar Abdelkafi, Bilel Derbel, Arnaud Liefooghe:
A Parallel Tabu Search for the Large-scale Quadratic Assignment Problem. 3070-3077 - Alexandru-Ciprian Zavoianu, Susanne Saminger-Platz, Wolfgang Amrhein:
Comparative Analysis of Two Asynchronous Parallelization Variants for a Multi-Objective Coevolutionary Solver. 3078-3085 - Yuji Sato, Mikiko Sato, Minami Miyakawa:
Distributed NSGA-II Sharing Extreme Non-dominated Solutions for Improving Accuracy and Achieving Speed-up. 3086-3093 - Breno Augusto De Melo Menezes, Herbert Kuchen, Hugo de Andrade Amorim Neto, Fernando Buarque de Lima Neto:
Parallelization Strategies for GPU-Based Ant Colony Optimization Solving the Traveling Salesman Problem. 3094-3101 - Yongbo Yu, Yalian Feng, Hui Ma, Aaron Chen, Chen Wang:
Achieving Flexible Scheduling of Heterogeneous Workflows in Cloud through a Genetic Programming Based Approach. 3102-3109 - Tim Hendtlass:
The EZopt Optimisation Framework. 3110-3117 - Zuowen Liao, Wenyin Gong, Zhihua Cai, Ling Wang, Yong Wang:
Random Walk Mutation-based DE with EDA for Nonlinear Equations Systems. 3118-3125 - Urban Skvorc, Tome Eftimov, Peter Korosec:
CEC Real-Parameter Optimization Competitions: Progress from 2013 to 2018. 3126-3133 - Jesús-Adolfo Mejía-de-Dios, Efrén Mezura-Montes:
A Metaheuristic for Bilevel Optimization Using Tykhonov Regularization and the Quasi-Newton Method. 3134-3141 - Yang Lou, Shiu Yin Yuen, Guanrong Chen, Xin Zhang:
On-line Search History-assisted Restart Strategy for Covariance Matrix Adaptation Evolution Strategy. 3142-3149 - Rohit Salgotra, Urvinder Singh, Sriparna Saha, Atulya Nagar:
New Improved SALSHADE-cnEpSin Algorithm with Adaptive Parameters. 3150-3156 - Reginald Ankrah, Benjamin Lacroix, John A. W. McCall, Andrew Hardwick, Anthony Conway:
Introducing the Dynamic Customer Location-Allocation Problem. 3157-3164 - Daniel Herring, Michael Kirley, Xin Yao:
Investigation of Asynchrony in Dynamic Multi-Objective Optimization. 3165-3172 - Pratyusha Rakshit, Amit Konar, Atulya K. Nagar:
Modified Selection and Search in Learning Automata Based Artificial Bee Colony in Noisy Environment. 3173-3180 - Daniel A. Ashlock, Jeremy Gilbert:
A Greedy, Generative, Lattice Representation for Point Packing. 3181-3188 - Hanan Hiba, Amin Ibrahim, Shahryar Rahnamayan:
Large-scale Optimization Using Center-based Differential Evolution with Dynamic Mutation Scheme. 3189-3196 - Ying Bi, Bing Xue, Mengjie Zhang:
An Evolutionary Deep Learning Approach Using Genetic Programming with Convolution Operators for Image Classification. 3197-3204 - Motoaki Hiraga, Yufei Wei, Kazuhiro Ohkura:
Evolving Collective Cognition of Robotic Swarms in the Foraging Task with Poison. 3205-3212 - Kenya Jin'no, Tomoyuki Sasaki, Hidehiro Nakano:
Search Property of Nonlinear Map Optimization. 3213-3220 - Tomoyuki Togawa, Yusuke Kunii, Shin Yasukawa, Toshimichi Saito:
Application of MOEA/D to a Trade-Off Problem Between Maximum Power Point and Stability. 3221-3226 - Keeley A. Crockett, Sean Goltz, Matt Garratt, Annabel Latham:
Trust in Computational Intelligence Systems: A Case Study in Public Perceptions. 3227-3234 - Lauri Tuovinen, Alan F. Smeaton:
Unlocking the Black Box of Wearable Intelligence: Ethical Considerations and Social Impact. 3235-3243 - Samaneh Azari, Mengjie Zhang, Bing Xue, Lifeng Peng:
Learning to Rank Peptide-Spectrum Matches Using Genetic Programming. 3244-3251 - James Alexander Hughes, Mark Daley:
Generating Nonlinear Models of Functional Connectivity from Functional Magnetic Resonance Imaging Data with Genetic Programming. 3252-3261 - Lucas A. da Silveira, José Luis Soncco-Álvarez, Thaynara A. de Lima, Mauricio Ayala-Rincón:
Parallel Island Model Genetic Algorithms applied in NP-Hard problems. 3262-3269 - Jiahao He, Yanbin Liu, Boyi Chen, Chunlun Yi:
An Improved Gaussian Pigeon-inspired Optimization Algorithm. 3270-3276 - Xiaobin Xu, Haibin Duan, Yimin Deng, Delin Luo:
Hybrid ISMC-PIO and Receding Horizon Control for UAVs Formation. 3277-3284 - Yuchen Zhang, Xiujuan Lei, Shi Cheng:
PDG-PIO: Predicting Disease-genes Based on Pigeon-inspired Optimization. 3285-3291 - Tianshui Li, Yan Pei:
Chaotic Evolution Algorithms Using Opposition-Based Learning. 3292-3299 - Héctor D. Menéndez:
VARMOG: A Co-Evolutionary Algorithm to Identify Manifolds on Large Data. 3300-3307 - Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
Online Feature-Generation of Code Fragments for XCS to Guide Feature Construction. 3308-3315 - Lei Zhang, Xin Zhang, Fan Cheng, Xiaoyan Sun, Hongke Zhao:
Personalized Recommendation for Crowdfunding Platform: A Multi-objective Approach. 3316-3324 - Baqar Rizvi, Ammar Belatreche, Ahmed Bouridane:
A Dendritic Cell Immune System Inspired Approach for Stock Market Manipulation Detection. 3325-3332 - Jurgen Palsma, Adesola Adegboye:
Optimising Directional Changes trading strategies with different algorithms. 3333-3340 - Wubin Ma, Rui Wang, Weichao Wang, Su Deng, Hongbin Huang, Tao Zhang, Jibin Wu:
Inverted-file R-tree Index Nodes Clustering Based on Multi-objective Optimization. 3341-3347 - Yu-Hsin Shih, Chuan-Kang Ting:
Evolutionary Optimization on k-Nearest Neighbors Classifier for Imbalanced Datasets. 3348-3355 - Heng Cao, Shangshang Yang, Qingren Wang, Qijun Wang, Lei Zhang:
A Closed Itemset Property based Multi-objective Evolutionary Approach for Mining Frequent and High Utility Itemsets. 3356-3363 - Tao Shi, Hui Ma, Gang Chen:
A Seeding-based GA for Location-Aware Workflow Deployment in Multi-cloud Environment. 3364-3371 - Hung Khanh Nguyen, Raymond Chiong, Manuel Chica, Richard H. Middleton, Sandeep Dhakal:
Agent-based Modeling of Migration Dynamics in the Mekong Delta, Vietnam: Automated Calibration Using a Genetic Algorithm. 3372-3379 - Liqiang Hou, Shufan Wu, Zhaohui Hou, Zhongcheng Mu:
Low-Thrust Trajectory Design Optimization with Stochastic Convolution. 3380-3387 - Takahiro Obata, Setsuya Kurahashi:
A Research of Variable Selection Method within A Framework of Real-coded Genetic Algorithm. 3388-3395 - Takeshi Uchitane, Toshiharu Hatanaka:
Development of Evolutionary Design of Experiments to Find Significant Effects for Natural Disaster Prevention. 3396-3403 - Gen Yokoya, Heng Xiao, Toshiharu Hatanaka:
Multifactorial optimization using Artificial Bee Colony and its application to Car Structure Design Optimization. 3404-3409
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