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ORCIDCEC 2017: Donostia, San Sebastián, Spain
- 2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebastián, Spain, June 5-8, 2017. IEEE 2017, ISBN 978-1-5090-4601-0
- José Antonio Lozano:
General chair's welcome. - Jérémie Dubois-Lacoste, Thomas Stützle
:
Tuning of a stigmergy-based traffic light controller as a dynamic optimization problem. 1-8 - Weishi Shao, Dechang Pi, Zhongshi Shao:
A hybrid iterated greedy algorithm for the distributed no-wait flow shop scheduling problem. 9-16 - Shuai Wang, Jing Liu:
A multi-agent genetic algorithm for improving the robustness of communities in complex networks against attacks. 17-22 - Shuai Wang, Jing Liu:
Enhancing the robustness of complex networks against edge-based-attack cascading failures. 23-28 - Sina Torabi, Mattias Wahde:
Fuel consumption optimization of heavy-duty vehicles using genetic algorithms. 29-36 - A. Rezaee Jordehi:
Gravitational search algorithm with linearly decreasing gravitational constant for parameter estimation of photovoltaic cells. 37-42 - Yawen Zhou, Jing Liu:
A multi-agent genetic algorithm for multi-period emergency resource scheduling problems in uncertain traffic network. 43-50 - Xiaohui Gan, Jing Liu:
A multi-objective evolutionary algorithm for emergency logistics scheduling in large-scale disaster relief. 51-58 - José Luis Soncco-Álvarez, Mauricio Ayala-Rincón:
Variable neighborhood search for the large phylogeny problem using gene order data. 59-66 - Karan K. Budhraja, Tim Oates:
Neuroevolution-based Inverse Reinforcement Learning. 67-76 - Partha P. Biswas, Noor H. Awad, Ponnuthurai N. Suganthan, Mostafa Z. Ali, Gehan A. J. Amaratunga:
Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm. 77-82 - Partha P. Biswas, Ponnuthurai N. Suganthan, Gehan A. J. Amaratunga:
Optimal placement of wind turbines in a windfarm using L-SHADE algorithm. 83-88 - Yan Li, Tao Yue, Shaukat Ali, Li Zhang:
A multi-objective and cost-aware optimization of requirements assignment for review. 89-96 - Kiyoharu Tagawa, Shun Miyanaga:
Weighted empirical distribution based approach to Chance Constrained Optimization Problems using Differential Evolution. 97-104 - Kalyan Shankar Bhattacharjee, Hemant Kumar Singh, Tapabrata Ray, Qingfu Zhang:
Decomposition Based Evolutionary Algorithm with a Dual Set of reference vectors. 105-112 - Leonardo Vanneschi, Illya Bakurov, Mauro Castelli:
An initialization technique for geometric semantic GP based on demes evolution and despeciation. 113-120 - Leonardo Vanneschi, Bernardo Galvão:
A parallel and distributed semantic Genetic Programming system. 121-128 - Christian Blum, Maria J. Blesa:
A hybrid evolutionary algorithm based on solution merging for the longest arc-preserving common subsequence problem. 129-136 - Mateus H. Costa, Martín Gómez Ravetti, Rodney R. Saldanha, Eduardo G. Carrano:
An evolutionary multiobjective based approach to improve robustness in directional overcurrent relay coordination. 137-144 - Ali Wagdy Mohamed, Anas A. Hadi, Anas M. Fattouh, Kamal Mansur Jambi:
LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems. 145-152 - Rory Murphy, David Fagan, Michael O'Neill:
Gems: A novel method to accelerate Evolutionary Algorithms. 153-160 - Kenneth L. Holladay, Keith Pickens, Gregory Miller:
The effect of evaluation time variance on asynchronous Particle Swarm Optimization. 161-168 - Karoliina Oksanen, Ting Hu:
Lexicase selection promotes effective search and behavioural diversity of solutions in Linear Genetic Programming. 169-176 - Leonardo Vanneschi, Mauro Castelli, Ivo Gonçalves, Luca Manzoni, Sara Silva:
Geometric semantic genetic programming for biomedical applications: A state of the art upgrade. 177-184 - Luciano Perdigão Cota, Frederico Gadelha Guimarães, Fernando B. de Oliveira, Marcone Jamilson Freitas Souza:
An Adaptive Large Neighborhood Search with Learning Automata for the Unrelated Parallel Machine Scheduling Problem. 185-192 - Gongyi Xia, Simone A. Ludwig:
Object tracking using Particle Swarm Optimization and Earth mover's distance. 193-200 - Fabian Franz, Jan Paredis, Rico Möckel:
On the combination of coevolution and novelty search. 201-208 - Zhun Fan, Yi Fang, Wenji Li, Jiewei Lu, Xinye Cai, Caimin Wei:
A comparative study of constrained multi-objective evolutionary algorithms on constrained multi-objective optimization problems. 209-216 - Filipe de Oliveira Saraiva, Lars Nordström, Eduardo Nobuhiro Asada:
Multi-agent systems applied to power loss minimization in distribution-level smart grid with dynamic load variation. 217-224 - Shelvin Chand, Hemant Kumar Singh, Tapabrata Ray:
A heuristic algorithm for solving resource constrained project scheduling problems. 225-232 - Omar Abdelkafi, Lhassane Idoumghar, Julien Lepagnot, Jean-Louis Paillaud:
MEmory Genetic Algorithm Hybridized for Zeolites. 233-240 - László Barna Iantovics, Adrian Gligor, Veska Georgieva:
Detecting Outlier Intelligence in the behavior of intelligent coalitions of agents. 241-248 - Richard Alun Williams, Jonathan Timmis, Eva E. Qwarnstrom:
Investigating IKK dynamics in the NF-κB signalling pathway using X-Machines. 249-256 - Oriehi Edisemi Destiny Anyaiwe, Gautam B. Singh, George D. Wilson, Timothy J. Geddes:
Weighted Manhattan Distance Classifier; SELDI data for Alzheimer's disease diagnosis. 257-262 - Ran Cheng, Miqing Li, Xin Yao:
Parallel peaks: A visualization method for benchmark studies of multimodal optimization. 263-270 - Chung-Yao Chuang, Stephen F. Smith:
A study of agnostic hyper-heuristics based on sampling solution chains. 271-278 - Jan Paredis:
Exploring the evolution of Genotype Phenotype Mappings. 279-285 - Bach Hoai Nguyen, Bing Xue, Peter Andreae, Mengjie Zhang:
Particle Swarm Optimisation with genetic operators for feature selection. 286-293 - Xianyao Ling, Xinxin Feng, Zhonghui Chen, Yiwen Xu, Haifeng Zheng:
Short-term traffic flow prediction with optimized Multi-kernel Support Vector Machine. 294-300 - Yongsheng Liang, Zhigang Ren, Lin Wang, Bei Pang, Mohammad Moinul Hossain:
Inferior solutions in Gaussian EDA: Useless or useful? 301-307 - Michal Witold Przewozniczek:
Problem Encoding Allowing Cheap Fitness Computation of Mutated Individuals. 308-316 - Rituparna Datta, Kalyanmoy Deb, Aviv Segev:
A bi-objective hybrid constrained optimization (HyCon) method using a multi-objective and penalty function approach. 317-324 - Zhonghui Chen, Yeting Lin, Xinxin Feng, Haifeng Zheng, Yiwen Xu:
Incentive mechanism for participatory sensing: A contract-based approach. 325-332 - Jianxia Li, Ruochen Liu, Mingyang Zhang, Yangyang Li:
Ensemble-based multi-objective clustering algorithms for gene expression data sets. 333-340 - Xiaogang Fu, Jianyong Sun:
A new learning based dynamic multi-objective optimisation evolutionary algorithm. 341-348 - Kyle Robert Harrison, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht:
Optimal parameter regions for particle swarm optimization algorithms. 349-356 - Zhenan He, Gary G. Yen:
Comparison of visualization approaches in many-objective optimization. 357-363 - Deepak Karunakaran, Yi Mei, Gang Chen, Mengjie Zhang:
Evolving dispatching rules for dynamic Job shop scheduling with uncertain processing times. 364-371 - Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan:
Ensemble sinusoidal differential covariance matrix adaptation with Euclidean neighborhood for solving CEC2017 benchmark problems. 372-379 - Noor H. Awad, Mostafa Z. Ali, Ponnuthurai N. Suganthan, Robert G. Reynolds, Ali M. Shatnawi:
A novel differential crossover strategy based on covariance matrix learning with Euclidean neighborhood for solving real-world problems. 380-386 - Dipak Gaire Sharma, Ivan Tanev, Katsunori Shimohara:
Evolutionary optimization of weight coefficients of power spectrum for detection of driver-induced steering oscillations. 387-394 - Kai-Zhou Gao, Yicheng Zhang, Ali Sadollah, Rong Su:
Improved artificial bee colony algorithm for solving urban traffic light scheduling problem. 395-402 - Pierre Parrend, Pierre David, Fabio Guigou, Cedric Pupka, Pierre Collet:
The AWA Artificial emergent aWareness Architecture model for Artificial Immune Ecosystems. 403-410 - Clara Pizzuti, Annalisa Socievole:
Many-objective optimization for community detection in multi-layer networks. 411-418 - Tim Ribaric, Sheridan K. Houghten:
Genetic programming for improved cryptanalysis of elliptic curve cryptosystems. 419-426 - Yanan Sun, Gary G. Yen, Zhang Yi:
Global view-based selection mechanism for many-objective evolutionary algorithms. 427-434 - Juan Li, Jie Chen, Bin Xin, Lu Chen:
Efficient multi-objective evolutionary algorithms for solving the multi-stage weapon target assignment problem: A comparison study. 435-442 - Wenfeng Liu, Shanfeng Wang, Maoguo Gong, Mingyang Zhang:
An improved multiobjective evolutionary approach for community detection in multilayer networks. 443-449 - Feng Chen, Jiao Shi, Yunhong Ma, Yu Lei, Maoguo Gong:
Differential evolution algorithm with learning selection strategy for SAR image change detection. 450-457 - Hao Li, Jingjing Ma, Jia Liu, Maoguo Gong, Mingyang Zhang:
Multi-objective endmember extraction for hyperspectral images. 458-465 - Na Li, Yu Lei, Jiao Shi, Maoguo Gong:
Fuzzy multi-objective sparse feature learning. 466-473 - Zedong Tang, Maoguo Gong, Mingyang Zhang:
Evolutionary multi-task learning for modular extremal learning machine. 474-479 - Javier Del Ser, Ana I. Torre-Bastida, Ibai Lana, Miren Nekane Bilbao, Cristina Perfecto:
Nature-inspired heuristics for the multiple-vehicle selective pickup and delivery problem under maximum profit and incentive fairness criteria. 480-487 - Qixiang Wang, Maoguo Gong, Chao Song, Shanfeng Wang:
Discrete particle swarm optimization based influence maximization in complex networks. 488-494 - Mingyang Zhang, Jingjing Ma, Maoguo Gong, Hao Li, Jia Liu:
Memetic algorithm based feature selection for hyperspectral images classification. 495-502 - Haibo Yu, Ying Tan, Chao-Li Sun, Jianchao Zeng:
Clustering-based evolution control for surrogate-assisted particle swarm optimization. 503-508 - Gai-Ge Wang, Guo-Sheng Hao, Shi Cheng, Yuhui Shi, Zhihua Cui:
An improved Brain Storm Optimization algorithm based on graph theory. 509-515 - Jerry Swan:
Harmonic analysis and resynthesis of Sliding-Tile Puzzle heuristics. 516-524 - Alexandre Silvestre Ferreira, Richard Aderbal Gonçalves, Aurora T. R. Pozo:
A Multi-Armed Bandit selection strategy for Hyper-heuristics. 525-532 - Enrique Bermejo Nievas, Manuel Chica, Sancho Salcedo-Sanz, Oscar Cordón:
Coral Reef Optimization for intensity-based medical image registration. 533-540 - Marco A. Contreras-Cruz, Jose J. Lopez-Perez, Víctor Ayala-Ramírez:
Distributed path planning for multi-robot teams based on Artificial Bee Colony. 541-548 - Shamim Mashrouteh, Shahryar Rahnamayan, Ebrahim Esmailzadeh:
Optimal vibration control and innovization for rectangular plate. 549-556 - Jialong Shi, Qingfu Zhang, Bilel Derbel, Arnaud Liefooghe:
A Parallel Tabu Search for the Unconstrained Binary Quadratic Programming problem. 557-564 - Christiaan Scheepers, Andries P. Engelbrecht:
Vector evaluated particle swarm optimization: The archive's influence on performance. 565-572 - Carlos García-Martínez, Sebastián Ventura:
Multi-view semi-supervised learning using genetic programming interpretable classification rules. 573-579 - Igor Rosberg de Medeiros Silva, Elizabeth Ferreira Gouvea Goldbarg, Emerson B. de Carvalho, Marco César Goldbarg:
MO-MAHM: A parallel Multi-agent Architecture for Hybridization of Metaheuristics for multi-objective problems. 580-587 - Martín González, Jose-Juan López-Espín, Juan Aparicio, Domingo Giménez, El-Ghazali Talbi:
A parameterized scheme of metaheuristics with exact methods for determining the Principle of Least Action in Data Envelopment Analysis. 588-595 - Pedro Delgado-Pérez, Inmaculada Medina-Bulo, Manuel Núñez:
Using Evolutionary Mutation Testing to improve the quality of test suites. 596-603 - Efrén Juárez-Castillo, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes:
Empirical study of bound constraint-handling methods in Particle Swarm Optimization for constrained search spaces. 604-611 - Ziming Zhu, Xiong Xu, Li Jiao:
Improved evolutionary generation of test data for multiple paths in search-based software testing. 612-620 - Pramudita Satria Palar, Koji Shimoyama:
On multi-objective efficient global optimization via universal Kriging surrogate model. 621-628 - Monica Sam, Sanjay K. Boddhu, John C. Gallagher:
A dynamic search space approach to improving learning on a simulated Flapping Wing Micro Air Vehicle. 629-635 - Lu Chen, Bin Xin, Jie Chen, Juan Li:
A virtual-decision-maker library considering personalities and dynamically changing preference structures for interactive multiobjective optimization. 636-641 - Yanyun Tao, Qinyu Wang, Yuzhen Zhang:
Genetic Fuzzy c-mean clustering-based decomposition for low power FSM synthesis. 642-648 - Handing Wang, Yaochu Jin:
Efficient nonlinear correlation detection for decomposed search in evolutionary multi-objective optimization. 649-656 - Sedigheh Mahdavi, Shahryar Rahnamayan:
Schematic study on interaction and imbalance effects of variables for Large-Scale Optimization. 657-664 - Naoki Toriyama, Keiko Ono, Yukiko Orito:
Adaptive GA-based AR-hidden Markov model for time series forecasting. 665-672 - Conor Fahy, Shengxiang Yang, Mario Gongora:
Finding Multi-Density Clusters in non-stationary data streams using an Ant Colony with adaptive parameters. 673-680 - Aldo Marzullo, Claudio Stamile, Giorgio Terracina, Francesco Calimeri, Sabine Van Huffel:
A tensor-based mutation operator for Neuroevolution of Augmenting Topologies (NEAT). 681-687 - Aitor Arrieta, Shuai Wang, Urtzi Markiegi, Goiuria Sagardui, Leire Etxeberria:
Search-based test case generation for Cyber-Physical Systems. 688-697 - Borko Boskovic, Janez Brest:
Clustering and differential evolution for multimodal optimization. 698-705 - Ibai Lana, Javier Del Ser, Manuel Vélez:
A novel Fireworks Algorithm with wind inertia dynamics and its application to traffic forecasting. 706-713 - Joong Hoon Kim, Ho Min Lee, Donghwi Jung, Ali Sadollah:
Engineering benchmark generation and performance measurement of evolutionary algorithms. 714-717 - Ricardo Henrique Remes de Lima, Aurora Trinidad Ramirez Pozo:
A study on auto-configuration of Multi-Objective Particle Swarm Optimization Algorithm. 718-725 - Mehmet Fatih Tasgetiren, Quan-Ke Pan, Damla Kizilay, Mario C. Vélez-Gallego:
A variable block insertion heuristic for permutation flowshops with makespan criterion. 726-733 - Fábio Passos, Elisenda Roca, Rafael Castro-López, Francisco V. Fernández:
An algorithm for a class of real-life multi-objective optimization problems with a sweeping objective. 734-740 - Lucas Angelo da Silveira, José Luis Soncco-Álvarez, Mauricio Ayala-Rincón:
Parallel genetic algorithms with sharing of individuals for sorting unsigned genomes by reversals. 741-748 - Mario García Valdez, José Christian Romero, Alejandra Mancilla, Juan Julián Merelo Guervós:
Exploiting the social graph: Increasing engagement in a collaborative Interactive Evolution application. 749-756 - Antonio Bolufé Röhler, Dania Tamayo-Vera, Stephen Chen:
An LaF-CMAES hybrid for optimization in multi-modal search spaces. 757-764 - Rainer Storn:
Real-world applications in the communications industry - when do we resort to Differential Evolution? 765-772 - Majid Esmaelian, Francisco J. Santos-Arteaga, Madjid Tavana, Masoumeh Vali:
Subdividing Labeling Genetic Algorithm: A new method for solving continuous nonlinear optimization problems. 773-780 - Keiko Ono, Jun-ichi Kushida:
Landscape estimation of decision-tree induction based on grammatical Evolution using rank correlation. 781-788 - Ozgur Kabadurmus, M. Serdar Erdogan, Mehmet Fatih Tasgetiren:
Design of multi-product multi-period two-echelon supply chain network to minimize bullwhip effect through differential evolution. 789-796 - Xiaoji Chen, Chuan Shi, Aimin Zhou, Bin Wu, Zixing Cai:
A decomposition based multiobjective evolutionary algorithm with semi-supervised classification. 797-804 - Daniel Molina, Francisco Moreno-Garcia, Francisco Herrera:
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement? 805-812 - Jun Liu, Ping Li, Xiaoning Ma, Jiaxun Xie:
Modeling, analysis and simulation on searching for global optimum region of particle swarm optimization. 813-821 - Oliver Strub, Norbert Trautmann:
A genetic algorithm for the UCITS-constrained index-tracking problem. 822-829 - Christie Myburgh, Kalyanmoy Deb:
Use of derived heuristics in improved performance of evolutionary optimization: An application to gold processing plant. 830-837 - Ricardo García-Ródenas, Luis Jimenez Linares, Julio Alberto López-Gómez:
A cooperative Brain Storm Optimization Algorithm. 838-845 - Azahara Camacho, Mercedes G. Merayo, Manuel Núñez:
Using fuzzy automata to diagnose and predict heart problems. 846-853 - Stanton R. Price, Derek T. Anderson:
Genetic prOgramming for image feature descriptor learning. 854-860 - Yixin Yang, Peng Li, Shouyang Wang, Bo Liu, Yongliang Luo:
Scatter search for distributed assembly flowshop scheduling to minimize total tardiness. 861-868 - Fangqing Liu, Han Huang, Zhifeng Hao:
Evolutionary algorithm with convergence speed controller for automated software test data generation problem. 869-875 - Sameh Kessentini, Dominique Barchiesi:
Convergence criteria for the particle swarm optimization in a full iterative process. 876-881 - Su Nguyen, Mengjie Zhang:
A PSO-based hyper-heuristic for evolving dispatching rules in job shop scheduling. 882-889