Table of Contents

• Learning a Super Mario controller from examples of human playGeoffrey Lee, Min Luo, Fabio Zambetta, Xiaodong Li. 1-8 [doi]
• Integrating fuzzy integral and heuristic search for unit micromanagement in RTS gamesTung Nguyen, Kien Nguyen, Ruck Thawonmas. 9-12 [doi]
• ∗Tego - A framework for adversarial planningDaniel Ashlock, Philip Hingston. 13-20 [doi]
• TURAN: Evolving non-deterministic players for the iterated prisoner's dilemmaMarco Gaudesi, Elio Piccolo, Giovanni Squillero, Alberto Paolo Tonda. 21-27 [doi]
• Evolving a fuzzy goal-driven strategy for the game of Geister: An exercise in teaching computational intelligenceAndrew R. Buck, Tanvi Banerjee, James M. Keller. 28-35 [doi]
• Deep Boltzmann Machine for evolutionary agents of Mario AIHisashi Handa. 36-41 [doi]
• A memetic algorithm for solving permutation flow shop problems with known and unknown machine breakdownsHumyun Fuad Rahman, Ruhul A. Sarker, Daryl Essam, Guijuan Chang. 42-49 [doi]
• Remote sensing imagery clustering using an adaptive bi-objective memetic methodAilong Ma, Yanfei Zhong, Liangpei Zhang. 50-57 [doi]
• A memetic algorithm based on Immune multi-objective optimization for flexible job-shop scheduling problemsJingjing Ma, Yu Lei, Zhao Wang, Licheng Jiao, Ruochen Liu. 58-65 [doi]
• A memetic algorithm for solving flexible Job-Shop Scheduling ProblemsWenping Ma, Yi Zuo, Jiulin Zeng, Shuang Liang, Licheng Jiao. 66-73 [doi]
• Hybridizing the dynamic mutation approach with local searches to overcome local optimaKuai Wei, Michael J. Dinneen. 74-81 [doi]
• Memetic algorithm with adaptive local search depth for large scale global optimizationCan Liu, Bin Li. 82-88 [doi]
• Neural network ensembles for image identification using Pareto-optimal featuresWissam A. Albukhanajer, Yaochu Jin, Johann A. Briffa. 89-96 [doi]
• Automatic evolutionary medical image segmentation using deformable modelsAndrea Valsecchi, Pablo Mesejo, Linda Marrakchi-Kacem, Stefano Cagnoni, Sergio Damas. 97-104 [doi]
• Cost-sensitive texture classificationGerald Schaefer, Bartosz Krawczyk, Niraj P. Doshi, Tomoharu Nakashima. 105-108 [doi]
• Genetic algorithms based feature combination for salient object detection, for autonomously identified image domain typesSyed Saud Naqvi, Will N. Browne, Christopher Hollitt. 109-116 [doi]
• Unsupervised learning for edge detection using Genetic ProgrammingWenlong Fu, Mark Johnston, Mengjie Zhang. 117-124 [doi]
• Single- and multi-objective genetic programming: New runtime results for sortingMarkus Wagner 0007, Frank Neumann. 125-132 [doi]
• Runtime analysis comparison of two fitness functions on a memetic algorithm for the Clique ProblemKuai Wei, Michael J. Dinneen. 133-140 [doi]
• A theoretical assessment of solution quality in evolutionary algorithms for the knapsack problemJun He, Boris Mitavskiy, Yuren Zhou. 141-148 [doi]
• The sampling-and-learning framework: A statistical view of evolutionary algorithmsYang Yu, Hong Qian. 149-158 [doi]
• Markov chain analysis of evolution strategies on a linear constraint optimization problemAlexandre Adrien Chotard, Anne Auger, Nikolaus Hansen. 159-166 [doi]
• Free Lunch for optimisation under the universal distributionTom Everitt, Tor Lattimore, Marcus Hutter. 167-174 [doi]
• Smooth global and local path planning for mobile robot using particle swarm optimization, radial basis functions, splines and Bézier curvesNancy Arana-Daniel, Alberto A. Gallegos, Carlos López-Franco, Alma Y. Alanis. 175-182 [doi]
• A novel improvement of particle swarm optimization using Dual Factors strategyLin Wang, Bo Yang, Yi Li, Na Zhang. 183-189 [doi]
• A verifiable PSO algorithm in cloud computingTao Xiang, Weimin Zhang, Fei Chen. 190-193 [doi]
• Space-time simulation model based on particle swarm optimization algorithm for stadium evacuationXinlu Zong, Hui Xu, Shengwu Xiong, Pengfei Duan. 194-201 [doi]
• Bare bones particle swarm with scale mixtures of Gaussians for dynamic constrained optimizationMauro Campos, Renato A. Krohling. 202-209 [doi]
• Cooperative particle swarm optimizer with elimination mechanism for global optimization of multimodal problemsGeng Zhang, Yangmin Li. 210-217 [doi]
• A Chaotic Particle Swarm Optimization algorithm for the jobshop scheduling problemPing Yan, Minghai Jiao. 218-222 [doi]
• Autonomous Learning Adaptation for Particle Swarm OptimizationWenyong Dong, Jiangsen Tian, Xu Tang, Kang Sheng, Jin Liu. 223-228 [doi]
• A growing partitional clustering based on particle swarm optimizationNuosi Wu, Zexuan Zhu, Zhen Ji. 229-234 [doi]
• A novel chaotic artificial bee colony algorithm based on Tent mapFangjun Kuang, Zhong Jin, Weihong Xu, Fangjun Kuang, Siyang Zhang. 235-241 [doi]
• A novel Artificial Bee Colony algorithm with integration of extremal optimization for numerical optimization problemsMin-Rong Chen, Wei Zeng, Guo-Qiang Zeng, Xia Li, Jianping Luo. 242-249 [doi]
• Hybrid ACO/EA algorithms applied to the multi-agent patrolling problemFabrice Lauri, Abderrafiaa Koukam. 250-257 [doi]
• Comparison of multiobjective particle swarm optimization and evolutionary algorithms for optimal reactive power dispatch problemYujiao Zeng, Yanguang Sun. 258-265 [doi]
• MOPSOhv: A new hypervolume-based multi-objective particle swarm optimizerIvan Chaman Garcia, Carlos A. Coello Coello, Alfredo Arias-Montano. 266-273 [doi]
• A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimizationZhou Peng, Jinhua Zheng, Juan Zou. 274-281 [doi]
• Multi-objective Flexible Job-Shop scheduling problem with DIPSO: More diversity, greater efficiencyLuiz Carlos Felix Carvalho, Marcia Aparecida Fernandes. 282-289 [doi]
• Calculating the complete pareto front for a special class of continuous multi-objective optimization problemsXiao-Bing Hu, Ming Wang, Xiao-Bing Hu, Mark S. Leeson. 290-297 [doi]
• A self-adaptive evolutionary approach to the evolution of aesthetic maps for a RTS gameRaúl Lara-Cabrera, Carlos Cotta, Antonio José Fernández Leiva. 298-304 [doi]
• Enhanced differential evolution with adaptive direction informationYiqiao Cai, Jixiang Du. 305-312 [doi]
• Visualizing the population of meta-heuristics during the optimization process using self-organizing mapsMarcelo Lotif. 313-319 [doi]
• Self-adaptive morphable model based multi-view non-cooperative 3D face reconstructionKuicheng Lin, Xue Wang, Xuanping Li, Yuqi Tan. 320-325 [doi]
• Electromagnetic algorithm for tuning the structure and parameters of neural networksAyad Mashaan Turky, Salwani Abdullah, Nasser R. Sabar. 326-331 [doi]
• Feature Selection based on manifold-learning with dynamic constraint handling differential evolutionZhihui Li, Zhigang Shang, Bo-Yang Qu, Jing J. Liang. 332-337 [doi]
• Metaheuristics for the 3D bin packing problem in the steel industryJoaquim P. L. Viegas, Susana M. Vieira, Joao M. C. Sousa, Elsa M. P. Henriques. 338-343 [doi]
• A new CSP graph-based representation to resource-constrained project scheduling problemAntonio González-Pardo, David Camacho. 344-351 [doi]
• Optimization algorithm for rectangle packing problem based on varied-factor genetic algorithm and lowest front-line strategyHaiming Liu, Jiong Zhou, Xinsheng Wu, Peng Yuan. 352-357 [doi]
• A parallel evolutionary solution for the inverse kinematics of generic robotic manipulatorsSiavash Farzan, Guilherme N. DeSouza. 358-365 [doi]
• Feature extraction based on trimmed complex network representation for metabolomic data classificationYue Chen, Zexuan Zhu, Zhen Ji. 366-370 [doi]
• Primary study on feedback controlled differential evolutionKenichi Tamura, Keiichiro Yasuda. 371-378 [doi]
• A route planning strategy for the automatic garment cutter based on genetic algorithmWenchao Yu, Linji Lu. 379-386 [doi]
• Comparative analysis of classical multi-objective evolutionary algorithms and seeding strategies for pairwise testing of Software Product LinesRoberto Erick Lopez-Herrejon, Javier Ferrer, Francisco Chicano, Alexander Egyed, Enrique Alba. 387-396 [doi]
• An MOEA/D with multiple differential evolution mutation operatorsYang Li, Aimin Zhou, Guixu Zhang. 397-404 [doi]
• Multi-objective transportation network design: Accelerating search by applying ε-NSGAIITies Brands, Luc J. J. Wismans, Eric C. Van Berkum. 405-412 [doi]
• A comparison of multi-objective evolutionary algorithms for the ontology meta-matching problemGiovanni Acampora, Hisao Ishibuchi, Autilia Vitiello. 413-420 [doi]
• Integrating user preferences and decomposition methods for many-objective optimizationAsad Mohammadi, Mohammad Nabi Omidvar, Xiaodong Li, Kalyanmoy Deb. 421-428 [doi]
• A multi-objective evolutionary algorithm based on decomposition for constrained multi-objective optimizationSaúl Zapotecas Martínez, Carlos A. Coello Coello. 429-436 [doi]
• Cooperative DynDE for temporal data clusteringKristina S. Georgieva, Andries P. Engelbrecht. 437-444 [doi]
• Multi-objective differential evolution algorithm based on fast sorting and a novel constraints handling techniqueJing J. Liang, B. Zheng, F. Y. Xu, Bo-Yang Qu, Hui Song. 445-450 [doi]
• A mutation and crossover adaptation mechanism for differential evolution algorithmJohanna Aalto, Jouni Lampinen. 451-458 [doi]
• An analysis of the automatic adaptation of the crossover rate in differential evolutionCarlos Segura, Carlos A. Coello Coello, Eduardo Segredo, Coromoto León. 459-466 [doi]
• Self-adaptive differential evolution with local search chains for real-parameter single-objective optimizationA. K. Qin, Ke Tang, Hong Pan, Si-Yu Xia. 467-474 [doi]
• Trading-off simulation fidelity and optimization accuracy in air-traffic experiments using differential evolutionRubai Amin, Jiangjun Tang, Mohamed Ellejmi, Stephen Kirby, Hussein A. Abbass. 475-482 [doi]
• A hybrid discrete particle swarm optimisation method for grid computation schedulingStephen Bennett, Su Nguyen, Mengjie Zhang. 483-490 [doi]
• A combinatorial algorithm for the cardinality constrained portfolio optimization problemTianxiang Cui, Shi Cheng, Ruibin Bai. 491-498 [doi]
• Using harmony search with multiple pitch adjustment operators for the portfolio selection problemNasser R. Sabar, Graham Kendall. 499-503 [doi]
• Genetic algorithm with self-adaptive mutation controlled by chromosome similarityDaniel Smullen, Jonathan Gillett, Joseph Heron, Shahryar Rahnamayan. 504-511 [doi]
• Chemical reaction optimization for the set covering problemJames J. Q. Yu, Albert Y. S. Lam, Victor O. K. Li. 512-519 [doi]
• Aircraft landing problem using hybrid differential evolution and simple descent algorithmNasser R. Sabar, Graham Kendall. 520-527 [doi]
• Search-evasion path planning for submarines using the Artificial Bee Colony algorithmBai Li, Raymond Chiong, Ligang Gong. 528-535 [doi]
• Bee colony algorithm for the routing of guided automated battery-operated electric vehicles in personal rapid transit systemsEzzeddine Fatnassi, Olfa Chebbi, Jouhaina Chaouachi Siala. 536-543 [doi]
• A novel hybrid swarm based approach for curriculum based course timetabling problemCheng Weng Fong, Hishammuddin Asmuni, Way Shen Lam, Barry McCollum, Paul McMullan. 544-550 [doi]
• A discrete artificial bee colony algorithm for the Economic Lot Scheduling problem with returnsÖnder Bulut, Mehmet Fatih Tasgetiren. 551-557 [doi]
• Artificial Bee Colony for workflow schedulingYun-Chia Liang, Angela Hsiang-Ling Chen, Yung-Hsiang Nien. 558-564 [doi]
• Cooperation Mechanism for Distributed resource scheduling through artificial bee colony based self-organized scheduling systemAna Madureira, Bruno Cunha, Ivo Pereira. 565-572 [doi]
• Particle Swarm Optimization with population adaptationNanda Dulal Jana, Jaya Sil, Swagatam Das. 573-578 [doi]
• A benchmark generator for dynamic capacitated arc routing problemsMin Liu, Hemant Kumar Singh, Tapabrata Ray. 579-586 [doi]
• A co-evolutionary teaching-learning-based optimization algorithm for stochastic RCPSPHuan-yu Zheng, Ling Wang, Shengyao Wang. 587-594 [doi]
• A memetic algorithm with a new split scheme for solving dynamic capacitated arc routing problemsMin Liu, Hemant Kumar Singh, Tapabrata Ray. 595-602 [doi]
• Agile earth observing satellites mission planning using genetic algorithm based on high quality initial solutionsZang Yuan, Yingwu Chen, Renjie He. 603-609 [doi]
• Behavioral learning of aircraft landing sequencing using a society of Probabilistic Finite state MachinesJiangjun Tang, Hussein A. Abbass. 610-617 [doi]
• Evolving machine-specific dispatching rules for a two-machine job shop using genetic programmingRachel Hunt, Mark Johnston, Mengjie Zhang. 618-625 [doi]
• An enhanced non-dominated sorting based fruit fly optimization algorithm for solving environmental economic dispatch problemXiao-long Zheng, Ling Wang, Shengyao Wang. 626-633 [doi]
• Particle swarm optimization for Integrated Yard Truck Scheduling and Storage Allocation ProblemBen Niu, Ting Xie, Qiqi Duan, Lijing Tan. 634-639 [doi]
• Similarity- and reliability-assisted fitness estimation for particle swarm optimization of expensive problemsTong Liu, Chaoli Sun, Jianchao Zeng, Songdong Xue, Yaochu Jin. 640-646 [doi]
• Binary bacterial foraging optimization for 0/1 knapsack problemBen Niu, Ying Bi. 647-652 [doi]
• A discrete artificial bee colony algorithm for the assignment and parallel machine scheduling problem in DYO paint companyDamla Kizilay, Mehmet Fatih Tasgetiren, Önder Bulut, Bilgehan Bostan. 653-660 [doi]
• Locality-sensitive hashing based multiobjective memetic algorithm for dynamic pickup and delivery problemsFangxiao Wang, Yuan Gao, Zexuan Zhu. 661-666 [doi]
• A compression optimization algorithm for community detectionJianshe Wu, Lin Yuan, Qingliang Gong, Wenping Ma, Jingjing Ma, Yangyang Li. 667-671 [doi]
• Decomposition based multiobjective evolutionary algorithm for collaborative filtering recommender systemsShanfeng Wang, Maoguo Gong, Lijia Ma, Qing Cai, Licheng Jiao. 672-679 [doi]
• A memetic algorithm using local structural information for detecting community structure in complex networksCaihong Mu, Jin Xie, Ruochen Liu, Licheng Jiao. 680-686 [doi]
• Ant colony clustering based on sampling for community detectionXiangjing Song, Junzhong Ji, Cuicui Yang, Xiuzhen Zhang. 687-692 [doi]
• A differential evolution box-covering algorithm for fractal dimension on complex networksLi Kuang, Zhiyong Zhao, Feng Wang, Yuanxiang Li, Fei Yu, Zhijie Li. 693-699 [doi]
• An intelligent ant colony optimization for community detection in complex networksCaihong Mu, Jian Zhang, Licheng Jiao. 700-706 [doi]
• HMOEDA_LLE: A hybrid multi-objective estimation of distribution algorithm combining locally linear embeddingYuzhen Zhang, Guangming Dai, Lei Peng, Maocai Wang. 707-714 [doi]
• Behavioral study of the surrogate model-aware evolutionary search frameworkBo Liu, Qin Chen, Qingfu Zhang, Georges G. E. Gielen, Vic Grout. 715-722 [doi]
• A clustering based multiobjective evolutionary algorithmHu Zhang, Shenmin Song, Aimin Zhou, Xiao Zhi Gao. 723-730 [doi]
• Creating stock trading rules using graph-based estimation of distribution algorithmXianneng Li, Wen He, Kotaro Hirasawa. 731-738 [doi]
• Grammar-Based Genetic Programming with Bayesian networkPak-Kan Wong, Leung-Yau Lo, Man Leung Wong, Kwong-Sak Leung. 739-746 [doi]
• A first attempt on evolutionary prototype reduction for nearest neighbor one-class classificationBartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera. 747-753 [doi]
• A multi-swarm particle swarm optimization with orthogonal learning for locating and tracking multiple optimization in dynamic environmentsRuochen Liu, Xu Niu, Licheng Jiao, Jingjing Ma. 754-761 [doi]
• Regression ensemble with PSO algorithms based fuzzy integralJames Nga-Kwok Liu, Yan-Xing Hu, Yu-Lin He, Xizhao Wang. 762-768 [doi]
• An improved quantum-behaved particle swarm optimization algorithm based on linear interpolationShouyong Jiang, Shengxiang Yang. 769-775 [doi]
• Evolving hierarchical gene regulatory networks for morphogenetic pattern formation of swarm robotsHyondong Oh, Yaochu Jin. 776-783 [doi]
• Avoiding decoys in multiple targets searching problems using swarm roboticsZhongyang Zheng, Junzhi Li, Jie Li, Ying Tan. 784-791 [doi]
• Particle swarm optimization for integrity monitoring in BDS/DR based railway train positioningJiang Liu 0007, Baigen Cai, Jian Wang. 792-797 [doi]
• Learning and evolution of genetic network programming with knowledge transferXianneng Li, Wen He, Kotaro Hirasawa. 798-805 [doi]
• An improved JADE algorithm for global optimizationMing Yang, Zhihua Cai, Changhe Li, Jing Guan. 806-812 [doi]
• Characterizing the impact of selection on the evolution of cooperation in complex networksShasha Feng, Shaolin Tan, Jinhu Lu. 813-818 [doi]
• A tabu search heuristic for the single row layout problem with shared clearancesMeng Yu, Xingquan Zuo, Chase C. Murray. 819-825 [doi]
• A weighting-based local search heuristic algorithm for the Set Covering ProblemChao Gao, Thomas Weise, Jinlong Li. 826-831 [doi]
• Parallelization for space trajectory optimizationMartin Schlueter, Masaharu Munetomo. 832-839 [doi]
• Optimal approximation of stable linear systems with a novel and efficient optimization algorithmQiaoyong Jiang, Lei Wang, Xinhong Hei 0001, Rong Fei, Dongdong Yang, Feng Zou, Hongye Li, Zijian Cao, YanYan Lin. 840-844 [doi]
• Extending Minimum Population Search towards large scale global optimizationAntonio Bolufé Röhler, Stephen Chen. 845-852 [doi]
• A new penalty function method for constrained optimization using harmony search algorithmBiao Zhang, Jun-Hua Duan, Hong-yan Sang, Junqing Li, Hui Yan. 853-859 [doi]
• Scatter Search Algorithm with chaos based stochasticityDonald Davendra, Roman Senkerik, Ivan Zelinka, Michal Pluhacek. 860-866 [doi]
• Co-operation of Biology Related Algorithms meta-heuristic in ANN-based classifiers designShakhnaz Akhmedova, Eugene Semenkin. 867-872 [doi]
• Scientific algorithms for the Car Renter Salesman ProblemDenis Felipe, Elizabeth Ferreira Gouvea Goldbarg, Marco César Goldbarg. 873-879 [doi]
• A proposal on analysis support system based on association rule analysis for non-dominated solutionsShinya Watanabe, Yuta Chiba, Masahiro Kanazaki. 880-887 [doi]
• GEAS: A GA-ES-mixed algorithm for parameterized optimization problems - Using CLS problem as an exampleXing Zhou, Wei Peng, Bo Yang. 888-894 [doi]
• Application of computational intelligence for Source Code classificationMarcos Álvares Barbosa Junior, Tshilidzi Marwala, Fernando Buarque de Lima Neto. 895-902 [doi]
• Genetic algorithm with spatial receding horizon control for the optimization of facility locationsXiao-Bing Hu, Xiao-Bing Hu, Mark S. Leeson. 903-909 [doi]
• Tuning a multiple classifier system for side effect discovery using genetic algorithmsJenna Marie Reps, Uwe Aickelin, Jonathan M. Garibaldi. 910-917 [doi]
• Cooperation with potential leaders in evolutionary game study of networking agentsJianlei Zhang, Chunyan Zhang, Ming Cao, Tianguang Chu. 918-923 [doi]
• Multi-objective optimization model based on steady degree for teaching building evacuationPengfei Duan, Shengwu Xiong, Zhongbo Hu, Qiong Chen, Xinlu Zong. 924-929 [doi]
• Evolutionary clustering algorithm for community detection using graph-based informationGema Bello Orgaz, David Camacho. 930-937 [doi]
• Applying conversion matrix to robots for imitating motion using genetic algorithmsMari Nishiyama, Hitoshi Iba. 938-944 [doi]
• Optimization of combinational logic circuits through decomposition of truth table and evolution of sub-circuitsFrancisco Manfrini, Helio J. C. Barbosa, Heder S. Bernardino. 945-950 [doi]
• Reordering dimensions for Radial Visualization of multidimensional data - A Genetic Algorithms approachHuynh Thi Thanh Binh, Tran Van Long, Nguyen Xuan Hoai, Nguyen Duc Anh, Pham Manh Truong. 951-958 [doi]
• An evolutionary approach for combining results of recommender systems techniques based on Collaborative FilteringEdjalma Q. da Silva, Celso G. Camilo-Junior, Luiz Mario L. Pascoal, Thierson C. Rosa. 959-966 [doi]
• Differential evolution with a species-based repair strategy for constrained optimizationChenyang Bu, Wenjian Luo, Tao Zhu. 967-974 [doi]
• Differential evolution with combined variants for dynamic constrained optimizationMaria Yaneli Ameca-Alducin, Efrén Mezura-Montes, Nicandro Cruz-Ramírez. 975-982 [doi]
• Solving problems with a mix of hard and soft constraints using modified infeasibility driven evolutionary algorithm (IDEA-M)Hemant Kumar Singh, Md. Asafuddoula, Tapabrata Ray. 983-990 [doi]
• Differential evolution with a constraint consensus mutation for solving optimization problemsNoha M. Hamza, Daryl Leslie Essam, Ruhul A. Sarker. 991-997 [doi]
• Constraint handling in agent-based optimization by independent sub-swarmsDaniel J. Poole, Christian B. Allen, Thomas C. S. Rendall. 998-1005 [doi]
• United multi-operator evolutionary algorithmsSaber M. Elsayed, Ruhul A. Sarker, Daryl Leslie Essam. 1006-1013 [doi]
• A memetic hybrid method for the Molecular Distance Geometry Problem with incomplete informationMarco S. Nobile, Andrea G. Citrolo, Paolo Cazzaniga, Daniela Besozzi, Giancarlo Mauri. 1014-1021 [doi]
• GAMI-CRM: Using de novo motif inference to detect cis-regulatory modulesJeffrey A. Thompson, Clare Bates Congdon. 1022-1029 [doi]
• An immune network approach to learning qualitative models of biological pathwaysWei Pang, George Macleod Coghill. 1030-1037 [doi]
• Multi-dimensional scaling and MODELLER-based evolutionary algorithms for protein model refinementYan Chen, Yi Shang, Dong Xu. 1038-1045 [doi]
• A modified bat algorithm to predict Protein-Protein Interaction networkArchana Chowdhury, Pratyusha Rakshit, Amit Konar, Atulya K. Nagar. 1046-1053 [doi]
• Evolutionary algorithms applied to likelihood function maximization during poisson, logistic, and Cox proportional hazards regression analysisLeif E. Peterson. 1054-1061 [doi]
• A surrogate-assisted differential evolution algorithm with dynamic parameters selection for solving expensive optimization problemsSaber M. Elsayed, Tapabrata Ray, Ruhul A. Sarker. 1062-1068 [doi]
• A hybrid surrogate based algorithm (HSBA) to solve computationally expensive optimization problemsHemant Kumar Singh, Amitay Isaacs, Tapabrata Ray. 1069-1075 [doi]
• Evaluating the performance of Group Counseling Optimizer on CEC 2014 problems for Computational Expensive OptimizationSubhodip Biswas, Mohammad A. Eita, Swagatam Das, Athanasios V. Vasilakos. 1076-1083 [doi]
• Solving the IEEE-CEC 2014 expensive optimization test problems by using single-particle MVMOIstván Erlich, Jose L. Rueda, Sebastian Wildenhues, Fekadu Shewarega. 1084-1091 [doi]
• SO-MODS: Optimization for high dimensional computationally expensive multi-modal functions with surrogate searchJuliane Müller, Tipaluck Krityakierne, Christine A. Shoemaker. 1092-1099 [doi]
• An evolutionary multi-objective approach for prototype generationAlejandro Rosales-Pérez, Hugo Jair Escalante, Carlos A. Coello Coello, Jesus A. Gonzalez, Carlos A. Reyes García. 1100-1107 [doi]
• Use EMO to protect sensitive knowledge in association rule mining by removing itemsPeng Cheng, Jeng-Shyang Pan, Chun-Wei Lin. 1108-1115 [doi]
• An online evolutionary rule learning algorithm with incremental attribute discretizationEssam Soliman Debie, Kamran Shafi, Kathryn Elizabeth Merrick, Chris Lokan. 1116-1123 [doi]
• An external archive guided multiobjective evolutionary approach based on decomposition for continuous optimizationYexing Li, Xinye Cai, Zhun Fan, Qingfu Zhang. 1124-1130 [doi]
• MODEL: Multi-objective differential evolution with leadership enhancementFarid Bourennani, Shahryar Rahnamayan, Greg F. Naterer. 1131-1138 [doi]
• On the performance of classification algorithms for learning Pareto-dominance relationsSunith Bandaru, Amos H. C. Ng, Kalyanmoy Deb. 1139-1146 [doi]
• A review of hybrid evolutionary multiple criteria decision making methodsRobin C. Purshouse, Kalyanmoy Deb, Maszatul M. Mansor, Sanaz Mostaghim, Rui Wang. 1147-1154 [doi]
• MOEA/D with Tabu Search for multiobjective permutation flow shop scheduling problemsAhmad Alhindi, Qingfu Zhang. 1155-1164 [doi]
• Online objective reduction for many-objective optimization problemsYiu-ming Cheung, Fangqing Gu. 1165-1171 [doi]
• Diversity preservation with hybrid recombination for evolutionary multiobjective optimizationSen Bong Gee, Kay Chen Tan. 1172-1178 [doi]
• An evolutionary approach to the solution of multi-objective min-max problems in evidence-based robust optimizationSimone Alicino, Massimiliano Vasile. 1179-1186 [doi]
• Kriging model based many-objective optimization with efficient calculation of expected hypervolume improvementChang Luo, Koji Shimoyama, Shigeru Obayashi. 1187-1194 [doi]
• Effects of ensemble action selection on the evolution of iterated prisoner's dilemma game strategiesTakahiko Sudo, Yusuke Nojima, Hisao Ishibuchi. 1195-1201 [doi]
• The structure of a probabilistic 2-state finite transducer representation for Prisoner's DilemmaJeffrey Tsang. 1202-1209 [doi]
• Competitive coevolutionary training of simple soccer agents from zero knowledgeChristiaan Scheepers, Andries P. Engelbrecht. 1210-1217 [doi]
• Online generation of trajectories for autonomous vehicles using a multi-agent systemGarrison W. Greenwood, Saber M. Elsayed, Ruhul A. Sarker, Hussein A. Abbass. 1218-1224 [doi]
• A cooperative coevolutionary approach to multi-robot formation controlSeung-Mok Lee, Hyun Myung. 1225-1231 [doi]
• Graph centrality measures and the robustness of cooperationMenglin Li, Colm O'Riordan. 1232-1237 [doi]
• Non-invasive detection of hypoglycemic episodes in Type 1 diabetes using intelligent hybrid rough neural systemSai-Ho Ling, Phyo Phyo San, Hak-Keung Lam, Hung T. Nguyen. 1238-1242 [doi]
• Image deblurring using a hybrid optimization algorithmKit Yan Chan, Nimali Rajakaruna, Chamila Rathnayake, Iain Murray. 1243-1249 [doi]
• An algorithm for scalable clustering: Ensemble Rapid Centroid EstimationMitchell Yuwono, Steven W. Sir, Bruce Moulton, Ying Guo, Hung T. Nguyen. 1250-1257 [doi]
• Evolutionary regional network modeling for efficient engineering optimizationJyh-Cheng Yu, Zhi-Fu Liang, Tsung-Ren Hung. 1258-1264 [doi]
• Quantum bacterial foraging optimization algorithmFei Li, Yuting Zhang, Jiulong Wu, Haibo Li. 1265-1272 [doi]
• A cultural algorithm for spatial forest harvest schedulingWan-Yu Liu, Chun-Cheng Lin. 1273-1276 [doi]
• A hybrid adaptive coevolutionary differential evolution algorithm for large-scale optimizationSishi Ye, Guangming Dai, Lei Peng, Maocai Wang. 1277-1284 [doi]
• Cooperative Co-evolution with a new decomposition method for large-scale optimizationSedigheh Mahdavi, Mohammad Ebrahim Shiri, Shahryar Rahnamayan. 1285-1292 [doi]
• Variable grouping based differential evolution using an auxiliary function for large scale global optimizationFei Wei, Yuping Wang, Tingting Zong. 1293-1298 [doi]
• Solving dynamic double-row layout problem via an improved simulated annealing algorithmShengli Wang, Xingquan Zuo, Xinchao Zhao. 1299-1304 [doi]
• Effective decomposition of large-scale separable continuous functions for cooperative co-evolutionary algorithmsMohammad Nabi Omidvar, Yi Mei, Xiaodong Li. 1305-1312 [doi]
• Variable neighborhood decomposition for Large Scale Capacitated Arc Routing ProblemYi Mei, Xiaodong Li, Xin Yao. 1313-1320 [doi]
• A new dynamic probabilistic Particle Swarm Optimization with dynamic random population topologyQingjian Ni, Cen Cao, Xushan Yin. 1321-1327 [doi]
• An adaptive PSO based on motivation mechanism and acceleration restraint operatorJiangshao Gu, Xuanhua Shi. 1328-1336 [doi]
• The Enhanced Vector of Convergence for Particle Swarm Optimization based on constrict factorWei Zhang, Yanan Gao, Chengxing Zhang. 1337-1342 [doi]
• Evolutionary semi-supervised learning with swarm intelligencePing He, Lin Lu, Xiao-hua Xu, Heng Qian, Wei Zhang, Yongsheng Ju. 1343-1350 [doi]
• A fast restarting particle swarm optimizerJunqi Zhang, Xiong Zhu, Wei Wang, Jing Yao. 1351-1358 [doi]
• Dimensions cooperate by Euclidean metric in Particle Swarm OptimizationZezhou li, Junqi Zhang, Wei Wang, Jing Yao. 1359-1366 [doi]
• Biclustering of gene expression data using Particle Swarm Optimization integrated with pattern-driven local searchYangyang Li, Xiaolong Tian, Licheng Jiao, Xiangrong Zhang. 1367-1373 [doi]
• Simulating the coevolution of language and long-term memoryLan Shuai, Zhen Wang, Tao Gong. 1374-1381 [doi]
• Evolutionary clustering with differential evolutionGang Chen, Wenjian Luo, Tao Zhu. 1382-1389 [doi]
• Smart hybrid Genetic Algorithms in the bandwidth optimization of a PIFA antennaMohammad Riyad Ameerudden, Harry C. S. Rughooputh. 1390-1396 [doi]
• Evolutionary many-objective optimization by MO-NSGA-II with enhanced mating selectionShao-Wen Chen, Tsung-Che Chiang. 1397-1404 [doi]
• A niching two-layered differential evolution with self-adaptive control parametersYongxin Luo, Sheng Huang, Jinglu Hu. 1405-1412 [doi]
• Application of the MOAA for the optimization of CORAIL assemblies for nuclear reactorsValerio Lattarulo, Benjamin A. Lindleya, Geoffrey T. Parks. 1413-1420 [doi]
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• Practical application of an evolutionary algorithm for the design and construction of a six-inch submarineKhairul Alam, Tapabrata Ray, Sreenatha G. Anavatti. 2825-2832 [doi]
• A novel hybridization of opposition-based learning and cooperative co-evolutionary for large-scale optimizationBorhan Kazimipour, Mohammad Nabi Omidvar, Xiaodong Li, A. K. Qin. 2833-2840 [doi]
• Optimising large scale public transport network design problems using mixed-mode parallel multi-objective evolutionary algorithmsIan M. Cooper, Matthew P. John, Rhydian Lewis, Christine L. Mumford, Andrew Olden. 2841-2848 [doi]
• Many-objective evolutionary computation for optimization of separated-flow control using a DBD plasma actuatorTakeshi Watanabe, Tomoaki Tatsukawa, Antonio López Jaimes, Hikaru Aono, Taku Nonomura, Akira Oyama, Kozo Fujii. 2849-2854 [doi]
• A hybrid EA for high-dimensional subspace clustering problemLin Lin, Mitsuo Gen, Yan Liang. 2855-2860 [doi]
• A simplified glowworm swarm optimization algorithmMingyu Du, Xiujuan Lei, Zhenqiang Wu. 2861-2868 [doi]
• An improved Two Archive Algorithm for Many-Objective optimizationBingdong Li, Jinlong Li, Ke Tang, Xin Yao. 2869-2876 [doi]
• Two step evolution strategy for device motif BSIM model parameter extractionYang Xiao, Martin A. Trefzer, James Alfred Walker, Simon J. Bale, Andy M. Tyrrell. 2877-2884 [doi]
• Maximising axiomatization coverage and minimizing regression testing timeMarkus Wagner. 2885-2892 [doi]
• A new adaptive Kalman filter by combining evolutionary algorithm and fuzzy inference systemYu Dan Huo, Zhihua Cai, Wenyin Gong, Qin Liu. 2893-2900 [doi]
• Cartesian genetic programming as local optimizer of logic networksLukás Sekanina, Ondrej Ptak, Zdenek Vasícek. 2901-2908 [doi]
• Wave height quantification using land based seismic data with grammatical evolutionSarah Donne, Miguel Nicolau, Christopher Bean, Michael O'Neill. 2909-2916 [doi]
• Genetic programming based activity recognition on a smartphone sensory data benchmarkFeng Xie, Andy Song, Vic Ciesielski. 2917-2924 [doi]
• Swarm/evolutionary intelligence for agent-based social simulationAndreas Janecek, Tobias Jordan, Fernando Buarque de Lima Neto. 2925-2932 [doi]
• Solving the Multidimensional Knapsack Problem using a CUDA accelerated PSODrahoslav Zan, Jirí Jaros. 2933-2939 [doi]
• Multidimensional scaling with multiswarmingThomas A. Runkler, James C. Bezdek. 2940-2946 [doi]
• Chaos-driven Discrete Artificial Bee ColonyMagdalena Metlicka, Donald Davendra. 2947-2954 [doi]
• Web bots detection using Particle Swarm Optimization based clusteringShafiq Alam, Gillian Dobbie, Yun Sing Koh, Patricia Riddle. 2955-2962 [doi]
• An ant colony optimization algorithm for multi-objective clustering in mobile ad hoc networksChung-Wei Wu, Tsung-Che Chiang, Li-Chen Fu. 2963-2968 [doi]
• Designing reusable metaheuristic methods: A semi-automated approachSteven Adriaensen, Tim Brys, Ann Nowé. 2969-2976 [doi]
• Network path optimization under dynamic conditionsYaser Ali Enaya, Kalyanmoy Deb. 2977-2984 [doi]
• A parallel Lagrangian-ACO heuristic for project schedulingOswyn Brent, Dhananjay R. Thiruvady, Antonio Gomez-Iglesias, Rodolfo Garcia-Flores. 2985-2991 [doi]
• A multidirectional Physarum solver for the automated design of space trajectoriesLuca Masi, Massimiliano Vasile. 2992-2999 [doi]
• A genetic programming-based hyper-heuristic approach for storage location assignment problemJing Xie, Yi Mei, Andreas T. Ernst, Xiaodong Li, Andy Song. 3000-3007 [doi]
• The Monarchy Driven Optimization techniqueRitambhar Burman, Swagatam Das, Zeeshanul Haque, Athanasios V. Vasilakos, Soumyadeep Chakrabarti. 3008-3015 [doi]
• Heuristic optimization for software project management with impacts of team efficiencyNanlin Jin, Xin Yao. 3016-3023 [doi]
• A multiobjective optimization method based on MOEA/D and fuzzy clustering for change detection in SAR imagesQiao Wang, Hao Li, Maoguo Gong, Linzhi Su, Licheng Jiao. 3024-3029 [doi]
• A novel evaluation function for LT codes degree distribution optimizationPei-Chuan Tsai, Chih-Ming Chen, Ying-Ping Chen. 3030-3035 [doi]
• A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generationIsaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera. 3036-3043 [doi]
• An dynamic-weighted collaborative filtering approach to address sparsity and adaptivity issuesLiang Gu, Peng Yang, Yongqiang Dong. 3044-3050 [doi]
• Carry trade portfolio optimization using particle swarm optimizationStuart G. Reid, Katherine Malan, Andries P. Engelbrecht. 3051-3058 [doi]
• On the edge of feasibility: A case study of the particle swarm optimizerMohammad Reza Bonyadi, Zbigniew Michalewicz. 3059-3066 [doi]
• Linear sparse arrays designed by dynamic constrained multi-objective evolutionary algorithmWei Dong, Sanyou Zeng, Yong Wu, Dayue Guo, Lunan Qiao, Zhiqun Liu. 3067-3072 [doi]
• Mapping constrained optimization problems to penalty parameters: An empirical studyChengyong Si, Jianqiang Shen, Xuan Zou, Lei Wang, Qidi Wu. 3073-3079 [doi]
• A constrained multi-objective surrogate-based optimization algorithmPrashant Singh, Ivo Couckuyt, Francesco Ferranti, Tom Dhaene. 3080-3087 [doi]
• A Feature-based analysis on the impact of linear constraints for ε-constrained differential evolutionShayan Poursoltan, Frank Neumann. 3088-3095 [doi]
• DMOPSO: Dual multi-objective particle swarm optimizationKi-Baek Lee, Jong-Hwan Kim. 3096-3102 [doi]
• Demonstrator selection in a social learning particle swarm optimizerRan Cheng, Yaochu Jin. 3103-3110 [doi]
• Filter based backward elimination in wrapper based PSO for feature selection in classificationBach Hoai Nguyen, Bing Xue, Ivy Liu, Mengjie Zhang. 3111-3118 [doi]
• An archive based particle swarm optimisation for feature selection in classificationBing Xue, A. K. Qin, Mengjie Zhang. 3119-3126 [doi]
• A graph-based Particle Swarm Optimisation approach to QoS-aware web service composition and selectionAlexandre Sawczuk da Silva, Hui Ma, Mengjie Zhang. 3127-3134 [doi]
• Task allocation under communication constraints using motivated particle swarm optimizationMedria K. D. Hardhienata, Valery A. Ugrinovskii, Kathryn Elizabeth Merrick. 3135-3142 [doi]
• Serial PSO results are irrelevant in a multi-core parallel worldAndrew W. McNabb, Kevin D. Seppi. 3143-3150 [doi]
• Heterogeneous dynamic vector evaluated particle swarm optimisation for dynamic multi-objective optimisationMardé Helbig, Andries P. Engelbrecht. 3151-3159 [doi]
• An adaptive diversity introduction method for dynamic evolutionary multiobjective optimizationMin Liu, Jinhua Zheng, Junnian Wang, Yuzhen Liu, Lei Jiang. 3160-3167 [doi]
• A Multiple Reference Point-based evolutionary algorithm for dynamic multi-objective optimization with undetectable changesRadhia Azzouz, Slim Bechikh, Lamjed Ben Said. 3168-3175 [doi]
• Artificial Bee Colony induced multi-objective optimization in presence of noisePratyusha Rakshit, Amit Konar, Atulya K. Nagar. 3176-3183 [doi]
• A cascaded evolutionary multi-objective optimization for solving the unbiased universal electric motor family problemTimo Friedrich, Stefan Menzel. 3184-3191 [doi]
• Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functionsSubhodip Biswas, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Carlos A. Coello Coello. 3192-3199 [doi]
• A hybrid biogeography-based optimization and fireworks algorithmBei Zhang, Min-Xia Zhang, Yu-Jun Zheng. 3200-3206 [doi]
• Analysis on global convergence and time complexity of fireworks algorithmJianhua Liu, Shaoqiu Zheng, Ying Tan. 3207-3213 [doi]
• Adaptive Fireworks AlgorithmJunzhi Li, Shaoqiu Zheng, Ying Tan. 3214-3221 [doi]
• Dynamic search in fireworks algorithmShaoqiu Zheng, Andreas Janecek, Junzhi Li, Ying Tan. 3222-3229 [doi]
• Maintaining population diversity in brain storm optimization algorithmShi Cheng, Yuhui Shi, Quande Qin, T. O. Ting, Ruibin Bai. 3230-3237 [doi]
• Fireworks algorithm with differential mutation for solving the CEC 2014 competition problemsChao Yu, Lingchen Kelley, Shaoqiu Zheng, Ying Tan. 3238-3245 [doi]
• Evolutionary algorithms dynamics and its hidden complex network structuresIvan Zelinka, Donald Davendra, Jouni Lampinen, Roman Senkerik, Michal Pluhacek. 3246-3251 [doi]
• Knowledge Acquisition issues for intelligent route optimization by evolutionary computationMasaki Suzuki, Setsuo Tsuruta, Rainer Knauf, Yoshitaka Sakurai. 3252-3257 [doi]
• A memetic algorithm for the prize-collecting Traveling Car Renter ProblemMatheus da Silva Menezes, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg. 3258-3265 [doi]
• Network on Chip optimization based on surrogate model assisted evolutionary algorithmsMengyuan Wu, Ammar Karkar, Bo Liu, Alex Yakovlev, Georges G. E. Gielen, Vic Grout. 3266-3271 [doi]
• A genetic algorithm for the minimum latency pickup and delivery problemXin-Lan Liao, Chih-Hung Chien, Chuan-Kang Ting. 3272-3279 [doi]
• A heuristic approach to greener airport ground movementMichal Weiszer, Jun Chen, Stefan Ravizza, Jason A. D. Atkin, Paul Stewart. 3280-3286 [doi]