default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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