Table of Contents

• A simple multi-objective optimization algorithm for the urban transit routing problemLang Fan, Christine L. Mumford, Dafydd Evans. 1-7 [doi]
• The Pareto-Following Variation Operator as an alternative approximation modelA. K. M. Khaled Ahsan Talukder, Michael Kirley, Rajkumar Buyya. 8-15 [doi]
• Using gradient-based information to deal with scalability in multi-objective evolutionary algorithmsAdriana Lara, Carlos A. Coello Coello, Oliver Schütze. 16-23 [doi]
• Finding exact solutions for multi-objective optimisation problems using a symbolic algorithmSameh S. Askar, Ashutosh Tiwari. 24-30 [doi]
• Active categorical perception in an evolved anthropomorphic robotic armElio Tuci, Gianluca Massera, Stefano Nolfi. 31-38 [doi]
• How robot morphology and training order affect the learning of multiple behaviorsJoshua E. Auerbach, Josh C. Bongard. 39-46 [doi]
• A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robotRenan C. Moioli, Patrícia Amåncio Vargas, Phil Husbands. 47-54 [doi]
• Reverse-engineering of artificially evolved controllers for swarms of robotsSabine Hauert, Jean-Christophe Zufferey, Dario Floreano. 55-61 [doi]
• Macro-Agent Evolutionary Model for decomposable function optimizationJing Liu, Weicai Zhong, Licheng Jiao. 62-69 [doi]
• An Agent-based Memetic Algorithm (AMA) for nonlinear optimization with equality constraintsAbu Saleh Shah Muhammad Barkat Ullah, Ruhul Sarker, Chris Lokan. 70-77 [doi]
• Formal model for agent-based asynchronous evolutionary computationAleksander Byrski, Robert Schaefer. 78-85 [doi]
• A memetic algorithm for optimizing high-inclination multiple gravity-assist orbitsDmitry M. Pisarevsky, Pini Gurfil. 86-93 [doi]
• Enhancing Differential Evolution frameworks by scale factor local search - Part IVille Tirronen, Ferrante Neri, Tuomo Rossi. 94-101 [doi]
• An adaptive coevolutionary Differential Evolution algorithm for large-scale optimizationZhenyu Yang, Jingqiao Zhang, Ke Tang, Xin Yao, Arthur C. Sanderson. 102-109 [doi]
• Free Search Differential EvolutionMahamed G. H. Omran, Andries Petrus Engelbrecht. 110-117 [doi]
• Enhancing Differential Evolution frameworks by scale factor local search - part IIFerrante Neri, Ville Tirronen, Tommi Kärkkäinen. 118-125 [doi]
• A reconfigurable architecture for emulating large-scale bio-inspired systemsJuan Manuel Moreno, Jordi Madrenas. 126-133 [doi]
• Dynamic partial reconfiguration of the Ubichip for implementing adaptive size incremental topologiesHéctor F. Satizábal, Andres Upegui. 134-141 [doi]
• SpiNDeK: An Integrated design tool for the multiprocessor emulation of complex bioinspired spiking neural networksMichael Hauptvogel, Jordi Madrenas, Juan Manuel Moreno. 142-149 [doi]
• Cytocomputation in a biologically inspired, dynamically reconfigurable hardware platformJaime Alberto Parra Plaza, Andres Upegui, J. Velasco Medina. 150-157 [doi]
• Minimizing total flow time in permutation flow shop scheduling with improved simulated annealingUday K. Chakraborty. 158-165 [doi]
• Evolving hypernetwork models of binary time series for forecasting price movements on stock marketsElena Bautu, Sun Kim, Andrei Bautu, Henri Luchian, Byoung-Tak Zhang. 166-173 [doi]
• Design and comparison of different evolution strategies for feature selection and consolidation in music classificationIgor Vatolkin, Wolfgang M. Theimer, Günter Rudolph. 174-181 [doi]
• A multi-objective evolutionary algorithm with epsilon-dominance to calculate multicast routes with QoS requirementsGina M. B. Oliveira, Stefano S. B. V. Vita. 182-189 [doi]
• Multi-objective optimization using self-adaptive differential evolution algorithmVicky Ling Huang, Shuguang Z. Zhao, Rammohan Mallipeddi, Ponnuthurai N. Suganthan. 190-194 [doi]
• Differential Evolution with Self-adaptation and Local Search for Constrained Multiobjective OptimizationAles Zamuda, Janez Brest, Borko Boskovic, Viljem Zumer. 195-202 [doi]
• The performance of a new version of MOEA/D on CEC09 unconstrained MOP test instancesQingfu Zhang, Wudong Liu, Hui Li. 203-208 [doi]
• Enhancing MOEA/D with guided mutation and priority update for multi-objective optimizationChih-Ming Chen, Ying-Ping Chen, Qingfu Zhang. 209-216 [doi]
• The engineering of concurrent simulations of complex systemsFiona A. C. Polack, Paul S. Andrews, Adam T. Sampson. 217-224 [doi]
• Birds on the wall: Distributing a process-oriented simulationAdam T. Sampson, John Markus Bjørndalen, Paul S. Andrews. 225-231 [doi]
• Mobile processes, mobile channels and complex dynamic systemsEric Bonnici, Peter H. Welch. 232-239 [doi]
• Asynchronous evolutionary search: Multi-population collaboration and complex dynamicsAnca Gog, Camelia Chira, D. Dumitrescu. 240-246 [doi]
• Local vs. global search strategies in evolutionary GRID-based conformational sampling & dockingDragos Horvath, Lorraine Brillet, S. Roy, Sébastien Conilleau, Alexandru-Adrian Tantar, Jean-Charles Boisson, Nouredine Melab, El-Ghazali Talbi. 247-254 [doi]
• Unsupervised cancer classification through SVM-boosted multiobjective fuzzy clustering with majority voting ensembleAnirban Mukhopadhyay, Ujjwal Maulik, Sanghamitra Bandyopadhyay. 255-261 [doi]
• Docking scores and QSAR using evolved neural networks for the Pan-inhibition of wild-type and mutant PfDHFR by cycloguanil derivativesDavid Hecht, Mars Cheung, Gary B. Fogel. 262-269 [doi]
• RNA pseudoknot prediction via an evolutionary algorithmKay C. Wiese, Andrew Hendriks. 270-276 [doi]
• GAPK: Genetic algorithms with prior knowledge for motif discovery in DNA sequencesDianhui Wang, Xi Li. 277-284 [doi]
• Self modifying Cartesian Genetic Programming: ParitySimon Harding, Julian Francis Miller, Wolfgang Banzhaf. 285-292 [doi]
• Investigating the effect of regulatory decisions in a development modelPauline C. Haddow, Johan Hoye. 293-300 [doi]
• A model for intrinsic artificial development featuring structural feedback and emergent growthMartin Trefzer, Tüze Kuyucu, Julian Francis Miller, Andy M. Tyrrell. 301-308 [doi]
• A novel EDAs based method for HP model protein foldingBenhui Chen, Long Li, Jinglu Hu. 309-315 [doi]
• Augmenting artificial development with local fitnessTaras Kowaliw, Wolfgang Banzhaf. 316-323 [doi]
• System engineering design optimisation under uncertainty for preliminary space missionNicolas Croisard, Massimiliano Vasile. 324-331 [doi]
• Online convergence detection for multiobjective aerodynamic applicationsBoris Naujoks, Heike Trautmann. 332-339 [doi]
• Many-objective reconfiguration of operational satellite constellations with the Large-Cluster Epsilon Non-dominated Sorting Genetic Algorithm-IIMatthew P. Ferringer, David B. Spencer, Patrick Reed. 340-349 [doi]
• Orbit transfer manoeuvres as a test benchmark for comparison metrics of evolutionary algorithmsEdmondo A. Minisci, Giulio Avanzini. 350-357 [doi]
• Optimization of low-thrust Earth-Moon transfers using evolutionary neurocontrolAndreas Ohndorf, B. Dachwald, E. Gill. 358-364 [doi]
• Extreme compass and Dynamic Multi-Armed Bandits for Adaptive Operator SelectionJorge Maturana, Álvaro Fialho, Frédéric Saubion, Marc Schoenauer, Michèle Sebag. 365-372 [doi]
• A conflict based SAW method for Constraint Satisfaction ProblemsRafi Shalom, Mireille Avigal, Ron Unger. 373-380 [doi]
• An adaptive learning particle swarm optimizer for function optimizationChanghe Li, Shengxiang Yang. 381-388 [doi]
• Visual exploration of algorithm parameter spaceNelis Franken. 389-398 [doi]
• Comparing parameter tuning methods for evolutionary algorithmsSelmar K. Smit, A. E. Eiben. 399-406 [doi]
• The Differential Ant-Stigmergy Algorithm applied to dynamic optimization problemsPeter Korosec, Jurij Silc. 407-414 [doi]
• Dynamic optimization using Self-Adaptive Differential EvolutionJanez Brest, Ales Zamuda, Borko Boskovic, Mirjam Sepesy Maucec, Viljem Zumer. 415-422 [doi]
• A dynamic artificial immune algorithm applied to challenging benchmarking problemsFabrício Olivetti de França, Fernando J. Von Zuben. 423-430 [doi]
• Evolutionary programming with ensemble of explicit memories for dynamic optimizationLing Yu, Ponnuthurai N. Suganthan. 431-438 [doi]
• A clustering particle swarm optimizer for dynamic optimizationChanghe Li, Shengxiang Yang. 439-446 [doi]
• Structure learning and optimisation in a Markov-network based estimation of distribution algorithmAlexander E. I. Brownlee, John A. W. McCall, Siddhartha Shakya, Qingfu Zhang. 447-454 [doi]
• Avoiding premature convergence in estimation of distribution algorithmsLuis de la Ossa, José A. Gámez, Juan L. Mateo, Jose Miguel Puerta. 455-462 [doi]
• Hybrid multiobjective estimation of distribution algorithm by local linear embedding and an immune inspired algorithmDongdong Yang, Licheng Jiao, Maoguo Gong, Hongxiao Feng. 463-470 [doi]
• A self-guided genetic algorithm for flowshop scheduling problemsShih-Hsin Chen, Pei-Chann Chang, Qingfu Zhang. 471-478 [doi]
• A fully multivariate DEUM algorithmSiddhartha Shakya, Alexander E. I. Brownlee, John A. W. McCall, François A. Fournier, Gilbert Owusu. 479-486 [doi]
• The effect of assortative mixing on emerging cooperation in an evolutionary network gameJun Tanimoto. 487-493 [doi]
• Evolution of cooperation on different pairs of interaction and replacement networks with various intensity of selectionReiji Suzuki, Takaya Arita. 494-499 [doi]
• The coevolution of loyalty and cooperationSven Van Segbroeck, Francisco C. Santos, Ann Nowé, Jorge M. Pacheco, Tom Lenaerts. 500-505 [doi]
• Conformity and network effects in the Prisoner s DilemmaJosé María Peña, Enea Pestelacci, Marco Tomassini, Henri Volken. 506-513 [doi]
• Symmetric networks foster to evolve desirable turn-taking rules in dispersion gamesAkira Namatame, Hiroshi Sato. 514-521 [doi]
• Kriging-model-based multi-objective robust optimization and trade-off-rule mining using association rule with aspiration vectorKazuyuki Sugimura, Shinkyu Jeong, Shigeru Obayashi, Takeshi Kimura. 522-529 [doi]
• Hypervolume approximation using achievement scalarizing functions for evolutionary many-objective optimizationHisao Ishibuchi, Noritaka Tsukamoto, Yuji Sakane, Yusuke Nojima. 530-537 [doi]
• Updating exclusive hypervolume contributions cheaplyLucas Bradstreet, Luigi Barone, R. Lyndon While. 538-544 [doi]
• Constrained many-objective optimization: A way forwardDhish Kumar Saxena, Tapabrata Ray, Kalyanmoy Deb, Ashutosh Tiwari. 545-552 [doi]
• Molecular dynamics modelling of the temporal changes in complex networksKrzysztof Juszczyszyn, Anna Musial, Katarzyna Musial, Piotr Bródka. 553-559 [doi]
• Automatic system identification based on coevolution of models and testsSylvain Koos, Jean-Baptiste Mouret, Stéphane Doncieux. 560-567 [doi]
• Analysis of constant creation techniques on the binomial-3 problem with grammatical evolutionJonathan Byrne, Michael O Neill, Erik Hemberg, Anthony Brabazon. 568-573 [doi]
• In search of intelligent genes: The cartesian genetic programming computational neuron (CGPCN)Gul Muhammad Khan, Julian Francis Miller, David M. Halliday. 574-581 [doi]
• A multi-objective approach to Redundancy Allocation Problem in parallel-series systemsZai Wang, Tianshi Chen, Ke Tang, Xin Yao. 582-589 [doi]
• Diversity enhanced particle swarm optimizer for global optimization of multimodal problemsShuguang Zhao, Ponnuthurai N. Suganthan. 590-597 [doi]
• On the role of information networks in logistics: An evolutionary approach with military scenariosVinh Bui, Lam Thu Bui, Hussein A. Abbass, Axel Bender, Pradeep Ray. 598-605 [doi]
• Robustness analysis of evolutionary controller tuning using real systemsMario A. Góngora, Benjamin N. Passow, Adrian A. Hopgood. 606-613 [doi]
• Multi-objective evolutionary algorithm based on adaptive discrete Differential EvolutionMingming Zhang, Shuguang Zhao, Xu Wang. 614-621 [doi]
• Fuzzy selection based differential evolution algorithm for analog cell sizing capturing imprecise human intentionsBo Liu, Francisco V. Fernández, Georges G. E. Gielen. 622-629 [doi]
• Investigation of memory-based multi-objective optimization evolutionary algorithm in dynamic environmentYu Wang, Bin Li. 630-637 [doi]
• Coevolving intelligent game players in a cultural frameworkShiven Sharma, Ziad Kobti, Scott D. Goodwin. 638-645 [doi]
• Spatial processing layer effects on the evolution of neural networks to play the game of OthelloS. Ying Lin, Jonathon David White. 646-651 [doi]
• Robust player imitation using multiobjective evolutionNiels van Hoorn, Julian Togelius, Daan Wierstra, Jürgen Schmidhuber. 652-659 [doi]
• Agent Smith: Towards an evolutionary rule-based agent for interactive dynamic gamesRyan K. Small, Clare Bates Congdon. 660-666 [doi]
• Training neural networks with PSO in dynamic environmentsAnna Rakitianskaia, Andries Petrus Engelbrecht. 667-673 [doi]
• Adaptive Genetic Programming for dynamic classification problemsMarius Riekert, Katherine Malan, Andries Petrus Engelbrecht. 674-681 [doi]
• Hyper-learning for population-based incremental learning in dynamic environmentsShengxiang Yang, Hendrik Richter. 682-689 [doi]
• Benchmarking and solving dynamic constrained problemsTrung Thanh Nguyen, Xin Yao. 690-697 [doi]
• Heterogeneous particle swarm optimizersMarco Antonio Montes de Oca, Jorge Peña, Thomas Stützle, Carlo Pinciroli, Marco Dorigo. 698-705 [doi]
• Discrete and continuous particle swarm optimization for FPGA placementMohammed El-Abd, Hassan Hassan, Mohamed S. Kamel. 706-711 [doi]
• An exploration of topologies and communication in large particle swarmsAndrew W. McNabb, Matthew Gardner, Kevin D. Seppi. 712-719 [doi]
• A Complex Neighborhood based Particle Swarm OptimizationAlan Godoy, Fernando J. Von Zuben. 720-727 [doi]
• Application of hybrid genetic algorithm and simulated annealing in a SVR traffic flow forecasting modelWei-Mou Hung, Wei-Chiang Hong, Tung-Bo Chen. 728-735 [doi]
• Dynamic Split-point Selection Method for decision tree evolved by Gene Expression ProgrammingQu Li, Min Yao, Weihong Wang, Xiaohong Cheng. 736-740 [doi]
• Shuffle design to improve time series forecasting accuracyJuan Peralta, Germán Gutiérrez, Araceli Sanchís. 741-748 [doi]
• A dominance-based stability measure for multi-objective evolutionary algorithmsLam Thu Bui, Slawomir Wesolkowski, Axel Bender, Hussein A. Abbass, Michael Barlow. 749-756 [doi]
• Dynamics in the normative group recognition processDaniel Villatoro, Jordi Sabater-Mir. 757-764 [doi]
• OEA_SAT: An Organizational Evolutionary Algorithm for solving SATisfiability problemsJing Liu, Wenrong Jiang, Weicai Zhong, Licheng Jiao. 765-770 [doi]
• The Wise Experiencing Traveling Salesman (WETS): Introduction to a simple evolutionary solution for the problemHamed Shakouri G., Kambiz Shojaee, Mojtaba Behnam T.. 771-776 [doi]
• Development and investigation of efficient GA/PSO-hybrid algorithm applicable to real-world design optimizationShinkyu Jeong, Shoichi Hasegawa, Koji Shimoyama, Shigeru Obayashi. 777-784 [doi]
• A micro-bacterial foraging algorithm for high-dimensional optimizationSambarta Dasgupta, Arijit Biswas, Swagatam Das, Bijaya K. Panigrahi, Ajith Abraham. 785-792 [doi]
• Multi-objective parameter estimation of biologically plausible neural networks in different behavior stagesAndreas Herzog, Sebastian Handrich, Christoph S. Herrmann. 793-799 [doi]
• Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approachesCasey S. Greene, Jeff Kiralis, Jason H. Moore. 800-807 [doi]
• Group selection vs multi-level selection: Some example models using evolutionary gamesDominique Chu, David J. Barnes. 808-814 [doi]
• Neighborhood counting for financial time series forecastingZhiwei Lin, Yu Huang, Hui Wang, Sally I. McClean. 815-821 [doi]
• Image ordering by cellular genetic algorithms with TSP and ICATimo Mantere. 822-829 [doi]
• Memetic algorithm with Local search chaining for large scale continuous optimization problemsDaniel Molina, Manuel Lozano, Francisco Herrera. 830-837 [doi]
• An integrated framework of hybrid evolutionary computationsKengo Takano, Masafumi Hagiwara. 838-845 [doi]
• Adaptive Plan system with Genetic Algorithm using the Variable Neighborhood range ControlSousuke Tooyama, Hiroshi Hasegawa. 846-853 [doi]
• Genetic Network Programming with Reconstructed IndividualsFengming Ye, S. Mahn, Lutao Wang, Shinji Eto, Kotaro Hirasawa. 854-859 [doi]
• Genetic programming that ensures programs are originalShiu Yin Yuen, Shing Wa Leung. 860-866 [doi]
• A similarity-based surrogate model for expensive evolutionary optimization with fixed budget of simulationsLeonardo Goliatt da Fonseca, Helio J. C. Barbosa, Afonso C. C. Lemonge. 867-874 [doi]
• An ant colony optimization algorithm for the time-varying workflow scheduling problem in gridsWei-neng Chen, Yuan Shi, Jun Zhang. 875-880 [doi]
• Minimizing environmental electromagnetic field pollution adjusting transmitter parameters using genetic algorithmTomislav Rolich, Darko Grundler. 881-887 [doi]
• Quality measures to adapt the participation in MOSAntonio LaTorre, José María Peña, Santiago Muelas, Carlos Pascual. 888-895 [doi]
• Genetic algorithm based quantum circuit synthesis with adaptive parameters controlCristian Ruican, Mihai Udrescu, Lucian Prodan, Mircea Vladutiu. 896-903 [doi]
• Evolutionary market agents and heterogeneous service providers: Achieving desired resource allocationsPeter R. Lewis, Paul Marrow, Xin Yao. 904-910 [doi]
• Designing a multilayer microwave heating device using a multiobjective genetic algorithmJésus J. Souza Santos, Diogo B. Oliveira, Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi, Elson J. Silva, Oriane M. Neto. 911-917 [doi]
• Design innovation for real world applications, using evolutionary algorithmsElhadj Benkhelifa, Gabriel Dragffy, Anthony G. Pipe, Mokhtar Nibouche. 918-924 [doi]
• An Interval type-2 Neural Fuzzy Inference System based on Piaget s action-cognitive paradigmEng Yeow Cheu, See-Kiong Ng, Hiok Chai Quek. 925-932 [doi]
• Center-based sampling for population-based algorithmsShahryar Rahnamayan, G. Gary Wang. 933-938 [doi]
• The diversity/accuracy dilemma: An empirical analysis in the context of heterogeneous ensemblesDiogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto. 939-946 [doi]
• Performance evaluation of a genetic algorithm for optimizing hierarchical menusShouichi Matsui, Seiji Yamada. 947-954 [doi]
• Genetic algorithm and local search for just-in-time job-shop schedulingRodolfo P. Araujo, André Gustavo dos Santos, José Elias Claudio Arroyo. 955-961 [doi]
• The harmony search for the routing optimization in fourth party logistics with time windowsGuihua Bo, Min Huang, W. H. Ip, Xingwei Wang. 962-967 [doi]
• Fault tolerance in distributed genetic algorithms with tree topologiesYiyuan Gong, Alex S. Fukunaga. 968-975 [doi]
• Evolutionary multi-objective clustering for overlapping clusters detectionKazi Shah Nawaz Ripon, Mia Nazmul Haque Siddique. 976-982 [doi]
• A cooperative coevolutionary algorithm with Correlation based Adaptive Variable PartitioningTapabrata Ray, Xin Yao. 983-989 [doi]
• Multiobjective and preference-based decision support for rail crew rosteringThomas Hanne, Rolf Dornberger, Lukas Frey. 990-996 [doi]
• Examination timetabling using late acceptance hyper-heuristicsEnder Özcan, Yuri Bykov, Murat Birben, Edmund K. Burke. 997-1004 [doi]
• Assessment of Genetic Algorithm selection, crossover and mutation techniques in reactive power optimizationMuhammad Tami Al-Hajri, Mohammad A. Abido. 1005-1011 [doi]
• An efficient scatter search algorithm for minimizing earliness and tardiness penalties in a single-machine scheduling problem with a common due dateJ. Talebi, H. Badri, F. Ghaderi, E. Khosravian. 1012-1018 [doi]
• Developing integrated fuzzy guidance law for aerodynamic homing missiles by genetic algorithmHanafy M. Omar. 1019-1024 [doi]
• Improving fuzzy-based axon segmentation with genetic algorithms: The IEEE Congress on Evolutionary ComputationAndreas Wolf, Andreas Herzog, Soeren Westerholz, Bernd Michaelis, Thomas B. Voigt. 1025-1031 [doi]
• Tracking feature points: Dynamic programming algorithmC. Andrey, L. Andrey, Chertok. 1032-1037 [doi]
• Eye movement data modeling using a genetic algorithmYun Zhang, Hong Fu, Zhen Liang, Xiaoyu Zhao, Zheru Chi, David Dagan Feng, Xinbo Zhao. 1038-1044 [doi]
• Improved particle swarm optimizer based on adaptive random learning approachZiyang Zhen, DaoBo Wang, Meng Li. 1045-1048 [doi]
• Retaining the lessons from past for better performance in a dynamic multiple task environmentHasan Mujtaba, Abdul Rauf Baig. 1049-1056 [doi]
• Estimation of Distribution Algorithm based on copula theoryLi-Fang Wang, Jian-Chao Zeng, Yi Hong. 1057-1063 [doi]
• Representation and structural biases in CGPAndrew J. Payne, Susan Stepney. 1064-1071 [doi]
• Implicit Context Representation Cartesian Genetic Programming for the assessment of visuo-spatial abilityStephen L. Smith, Michael A. Lones. 1072-1078 [doi]
• Evolutionary robotics: The next-generation-platform for on-line and on-board artificial evolutionSerge Kernbach, Eugen Meister, Oliver Scholz, Raja Humza, Jens Liedke, Leonardo Ricotti, Jaouhar Jemai, Jiri Havlik, Wenguo Liu. 1079-1086 [doi]
• HyperNEAT controlled robots learn how to drive on roads in simulated environmentJan Drchal, Jan Koutník, Miroslav Snorek. 1087-1092 [doi]
• Multi-objective evolution of robot neuro-controllersAmiram Moshaiov, Ariela Ashram. 1093-1100 [doi]
• A stochastic method for controlling the scaling parameters of Cauchy mutation in fast evolutionary programmingYunji Chen, Ke Tang, Tianshi Chen. 1101-1107 [doi]
• A Differential Mutation operator for the archive population of multi-objective evolutionary algorithmsLucas S. Batista, Frederico G. Guimarães, Jaime A. Ramirez. 1108-1115 [doi]
• A new Differential Evolution with wavelet theory based mutation operationJ. C. Y. Lai, F. H. Frank Leung, S. H. Ling. 1116-1122 [doi]
• Open-ended on-board Evolutionary Robotics for robot swarmsG. Baele, Nicolas Bredeche, Evert Haasdijk, Steven Maere, N. Michiels, Yves Van de Peer, Thomas Schmickl, C. Schwarzer, Ronald Thenius. 1123-1130 [doi]
• Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimizationJosé C. Ferreira, Carlos M. Fonseca, António Gaspar-Cunha. 1131-1136 [doi]
• Comparing design of experiments and evolutionary approaches to multi-objective optimisation of sensornet protocolsJonathan Tate, B. Woolford-Lim, Iain Bate, Xin Yao. 1137-1144 [doi]
• A dynamic multiobjective hybrid approach for designing Wireless Sensor NetworksFlávio V. C. Martins, Eduardo G. Carrano, Elizabeth F. Wanner, Ricardo H. C. Takahashi, Geraldo Robson Mateus. 1145-1152 [doi]
• Constructing test problems for bilevel evolutionary multi-objective optimizationKalyanmoy Deb, Ankur Sinha. 1153-1160 [doi]
• Overcoming the bootstrap problem in evolutionary robotics using behavioral diversityJean-Baptiste Mouret, Stéphane Doncieux. 1161-1168 [doi]
• A hierarchical conflict resolution method for multi-agent path planningKuang-Yuan Chen, Peter A. Lindsay, Peter J. Robinson, Hussein A. Abbass. 1169-1176 [doi]
• A distributed pool architecture for genetic algorithmsGautam Roy, Hyunyoung Lee, Jennifer L. Welch, Yuan Zhao, Vijitashwa Pandey, Deborah L. Thurston. 1177-1184 [doi]
• Multiobjective quantum-inspired evolutionary algorithm for fuzzy path planning of mobile robotYe-Hoon Kim, Jong-Hwan Kim. 1185-1192 [doi]
• Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithmsJose M. Cabello, Jose M. Cejudo, Mariano Luque, Francisco Ruiz, Kalyanmoy Deb, Rahul Tewari. 1193-1200 [doi]
• Evolutionary synthesis of low-sensitivity antenna matching networks using adjacency matrix representationLeonardo Bruno de Sá, Pedro F. Vieira, Antonio Carneiro Mesquita. 1201-1208 [doi]
• Constructing an optimisation phase using Grammatical EvolutionBrad J. Alexander, Michael James Gratton. 1209-1216 [doi]
• A method for testing driven dynamical systems with evolved excitations and its application to phase-locked loopsColin C. Olson, Jon M. Nichols, Joseph V. Michalowicz, Frank Bucholtz. 1217-1223 [doi]
• Clustered population Differential Evolution approach to Quadratic Assignment ProblemDonald Davendra, Ivan Zelinka, Godfrey C. Onwubolu. 1224-1231 [doi]
• Variance priority based cooperative co-evolution differential evolution for large scale global optimizationYu Wang, Bin Li, Xuexiao Lai. 1232-1239 [doi]
• Mixed Mutation Strategy Embedded Differential EvolutionMillie Pant, Musrrat Ali, Ajith Abraham. 1240-1246 [doi]
• A differential evolution algorithm with variable parameter search for real-parameter continuous function optimizationMehmet Fatih Tasgetiren, Quan-ke Pan, Ponnuthurai N. Suganthan, Yun-Chia Liang. 1247-1254 [doi]
• Hybridizing PSO and DE for improved vector evaluated multi-objective optimizationJacomine Grobler, Andries Petrus Engelbrecht. 1255-1262 [doi]
• An approach to stopping criteria for multi-objective optimization evolutionary algorithms: The MGBM criterionLucas Marti, Jesús García, Antonio Berlanga, José Manuel Molina. 1263-1270 [doi]
• A cognitive system based on fuzzy information processing and multi-objective evolutionary algorithmMichael S. Bittermann, Özer Ciftcioglu, I. Sevil Sariyildiz. 1271-1280 [doi]
• Plateau Connection Structure and multiobjective metaheuristic performanceDeon Garrett. 1281-1288 [doi]
• Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programmingCasey S. Greene, Bill C. White, Jason H. Moore. 1289-1296 [doi]
• A parallel genetic algorithm for protein folding prediction using the 3D-HP Side Chain modelCésar Manuel Vargas Benítez, Heitor Silvério Lopes. 1297-1304 [doi]
• Evolutionary design of the energy function for protein structure predictionPawel Widera, Jonathan M. Garibaldi, Natalio Krasnogor. 1305-1312 [doi]
• Analysis of microarray data using multiobjective variable string length genetic fuzzy clusteringAnirban Mukhopadhyay, Sanghamitra Bandyopadhyay, Ujjwal Maulik. 1313-1319 [doi]
• A new preprocessing procedure for the haplotype inference problemEkhine Irurozki, José A. Lozano. 1320-1327 [doi]
• A framework for automating the construction of computational modelsEmmanouil Hourdakis, Panos E. Trahanias. 1328-1335 [doi]
• Semantically driven mutation in genetic programmingLawrence Beadle, Colin G. Johnson. 1336-1342 [doi]
• Robustness in evolved grid structuresDaniel A. Ashlock, Justin Schonfeld, James Humphrey. 1343-1350 [doi]
• Varying Number of Difference Vectors in Differential EvolutionChuan-Kang Ting, Chih-Hui Huang. 1351-1358 [doi]
• Evolutionary adaptation of the differential evolution control parametersMichael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis. 1359-1366 [doi]
• A comparative study on kernel smoothers in Differential Evolution with estimated comparison method for reducing function evaluationsTetsuyuki Takahama, Setsuko Sakai. 1367-1374 [doi]
• Parameter control in Differential Evolution for constrained optimizationEfrén Mezura-Montes, A. G. Palomeque-Ortiz. 1375-1382 [doi]
• Solving the flight frequency programming problem with particle swarm optimizationZhi-hui Zhan, Xin-ling Feng, Yue-jiao Gong, Jun Zhang. 1383-1390 [doi]
• Continuous-space embedding genetic algorithm applied to the Degree Constrained Minimum Spanning Tree ProblemTiago L. Pereira, Eduardo G. Carrano, Ricardo H. C. Takahashi, Elizabeth F. Wanner, Oriane M. Neto. 1391-1398 [doi]
• Optimal operation of pipeline systems using Genetic AlgorithmMohamad Hadi Afshar, Maryam Rohani. 1399-1405 [doi]
• An evolutionary approach to system-level fault diagnosisHui Yang, Mourad Elhadef, Amiya Nayak, Xiaofan Yang. 1406-1413 [doi]
• An intelligent testing system embedded with an ant colony optimization based test composition methodXiaomin Hu, Jun Zhang. 1414-1421 [doi]
• A Genetic Algorithm with repair and local search mechanisms able to find minimal length addition chains for small exponentsL. G. Osorio-Hernandez, Efrén Mezura-Montes, Nareli Cruz Cortés, Francisco Rodríguez-Henríquez. 1422-1429 [doi]
• Distributed online evolution: An algebraic problem?Daniel Schreckling, Paolo Dini. 1430-1439 [doi]
• Quantifying ruggedness of continuous landscapes using entropyKatherine Malan, Andries Petrus Engelbrecht. 1440-1447 [doi]
• The effect of preadaptation epoch length on performance in an exaptive genetic algorithmK. Graham, Robert Cattral, Franz Oppacher. 1448-1454 [doi]
• Theoretical analysis of rank-based mutation - combining exploration and exploitationPietro Simone Oliveto, Per Kristian Lehre, Frank Neumann. 1455-1462 [doi]
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• Diversity enhanced Adaptive Evolutionary Programming for solving single objective constrained problemsRammohan Mallipeddi, Ponnuthurai N. Suganthan, Boyang Y. Qu. 2106-2113 [doi]
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• Robot path planning in uncertain environments based on particle swarm optimizationDunwei Gong, Li Lu, Ming Li. 2127-2134 [doi]
• Evaluation of intelligent quantitative hedge fund managementMuneer Buckley, Adam Ghandar, Zbigniew Michalewicz, Ralf Zurbruegg. 2135-2142 [doi]
• Modeling multi-agent labor market based on co-evolutionary computation and game theoryHee-Taek Kim, Sung-Bae Cho. 2143-2148 [doi]
• Evolutionary automata as foundation of evolutionary computation: Larry Fogel was rightEugene Eberbach, Mark Burgin. 2149-2156 [doi]
• Rigorous time complexity analysis of Univariate Marginal Distribution Algorithm with marginsTianshi Chen, Ke Tang, Guoliang Chen, Xin Yao. 2157-2164 [doi]
• An evolutionary computation approach to predicting output voltage from fuel utilization in SOFC stacksUday K. Chakraborty. 2165-2171 [doi]
• A Hybrid Grouping Genetic Algorithm for citywide ubiquitous WiFi access deploymentLuis E. Agustín-Blas, Sancho Salcedo-Sanz, Pablo Vidales, Gilberto A. Urueta, Antonio Portilla-Figueras, Mark Solarski. 2172-2179 [doi]
• The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategiesSameer Alam, Jianjang Tang, Hussein A. Abbass, Chris Lokan. 2180-2187 [doi]
• Multi-car elevator group supervisory control system using Genetic Network ProgrammingLu Yu, Shingo Mabu, Tiantian Zhang, Shinji Eto, Kotaro Hirasawa. 2188-2193 [doi]
• Constrained evolutionary art: Interactive flag designPeter A. Whigham, Colin Aldridge, Michel de Lange. 2194-2200 [doi]
• Towards connectivity improvement in VANETs using bypass linksBernabé Dorronsoro Díaz, Patricia Ruiz, Grégoire Danoy, Pascal Bouvry, Lorenzo J. Tardón. 2201-2208 [doi]
• The discrete dynamics of developmental systemsGunnar Tufte. 2209-2216 [doi]
• Evolving morphology and control: A distributed approachMariagiovanna Mazzapioda, Angelo Cangelosi, Stefano Nolfi. 2217-2224 [doi]
• Global shape with morphogen gradients and motile polarized cellsTill Steiner, Jens Trommler, Martin Brenn, Yaochu Jin, Bernhard Sendhoff. 2225-2232 [doi]
• A computational framework for modelling multicellular biochemistrySara Montagna, Mirko Viroli. 2233-2240 [doi]
• Investigating gate-level evolutionary development of combinational multipliers using enhanced cellular automata-based modelMichal Bidlo, Zdenek Vasícek. 2241-2248 [doi]
• Crosstalk and the cooperation of collectively autocatalytic reaction networksJames Decraene, George G. Mitchell, Barry McMullin. 2249-2256 [doi]
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• A high-quality pseudorandom numbers generator based on twi-layer couple cellular automataXuewen Xia, Yuanxiang Li, Jixiang Zhu. 2265-2272 [doi]
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• Influence of fitness quantization noise on the performance of interactive PSOYu Nakano, Hideyuki Takagi. 2416-2422 [doi]
• Combining multiple representations in a genetic algorithm for the multiple knapsack problemAlex S. Fukunaga, Satoshi Tazoe. 2423-2430 [doi]
• Visualisation of Building Blocks in Evolutionary AlgorithmsCharles Stan-Bishop, Luigi Barone, R. Lyndon While. 2431-2438 [doi]
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• Constraint handling in the evolutionary optimization of pipeless chemical batch plantsSabine Piana, Sebastian Engell. 2547-2553 [doi]
• Multiobjective dispatch of hydrogenerating units using a two-step genetic algorithm methodGlauber R. Colnago, Paulo B. Correia. 2554-2560 [doi]
• A novel hybrid ACO-GA algorithm for text feature selectionMohammad Ehsan Basiri, Shahla Nemati. 2561-2568 [doi]
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• A novel hybrid constraint handling technique for evolutionary optimizationAshish Mani, C. Patvardhan. 2577-2583 [doi]
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• Automatic clustering with multi-objective Differential Evolution algorithmsKaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, Ajith Abraham. 2590-2597 [doi]
• A new proposal to hybridize the Nelder-Mead method to a differential evolution algorithm for constrained optimizationA. Menchaca-Mendez, Carlos A. Coello Coello. 2598-2605 [doi]
• Differential Evolution Algorithms for the Generalized Assignment problemMehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Tay Jin Chua, Mohammed Abdullah Al-Hajri. 2606-2613 [doi]
• A statistical study of the Differential Evolution based on continuous generation modelKiyoharu Tagawa. 2614-2621 [doi]
• On-line neuroevolution applied to The Open Racing Car SimulatorLuigi Cardamone, Daniele Loiacono, Pier Luca Lanzi. 2622-2629 [doi]
• Lamarckian neuroevolution for visual control in the Quake II environmentMatt Parker, Bobby D. Bryant. 2630-2637 [doi]
• Optimisation of the Beer Distribution Game with complex customer demand patternsHongliang Liu, Enda Howley, Jim Duggan. 2638-2645 [doi]
• RAMP: A rule-based agent for Ms. Pac-ManAlan Fitzgerald, Clare Bates Congdon. 2646-2653 [doi]
• Generalized Time Related Sequential Association rule mining and traffic predictionHuiyu Zhou, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa. 2654-2661 [doi]
• Hooke-Jeeves revisitedIrene Moser. 2670-2676 [doi]
• Coevolution of simulator proxies and sampling strategies for petroleum reservoir modelingTina Yu, Dave Wilkinson. 2677-2684 [doi]
• Particle Swarm CMA Evolution Strategy for the optimization of multi-funnel landscapesChristian L. Müller, Benedikt Baumgartner, Ivo F. Sbalzarini. 2685-2692 [doi]
• Fast convergence strategy for Particle Swarm Optimization using spread factorIdris Abd Latiff, M. O. Tokhi. 2693-2700 [doi]
• Investigating collaboration methods of random immigrant scheme in cooperative coevolutionChun-Kit Au, Ho-Fung Leung. 2701-2707 [doi]
• Cell2Organ: Self-repairing artificial creatures thanks to a healthy metabolismSylvain Cussat-Blanc, Hervé Luga, Yves Duthen. 2708-2715 [doi]
• Bio-inspired reverse engineering of regulatory networksCristina Costa Santini, Gunnar Tufte, Pauline C. Haddow. 2716-2723 [doi]
• Population dynamics analysis in an agent-based artificial life system for engineering optimization problemsAbraham Prieto, Pilar Caamaño, Francisco Bellas, Richard J. Duro. 2724-2731 [doi]
• The multi-objective uncapacitated facility location problem for green logisticsIrina Harris, Christine Mumford, Mohamed Naim. 2732-2739 [doi]
• A Subproblem-dependent Heuristic in MOEA/D for the Deployment and Power Assignment Problem in Wireless Sensor NetworksAndreas Konstantinidis 0002, Qingfu Zhang, Kun Yang. 2740-2747 [doi]
• Improving a multi-objective multipopulation artificial immune network for biclusteringGuilherme Palermo Coelho, Fabrício Olivetti de França, Fernando J. Von Zuben. 2748-2755 [doi]
• Avoidance of constraint violation for experiment-based evolutionary multi-objective optimizationHirotaka Kaji, Kokolo Ikeda, Hajime Kita. 2756-2763 [doi]
• Evolving coordinated quadruped gaits with the HyperNEAT generative encodingJeff Clune, Benjamin E. Beckmann, Charles Ofria, Robert T. Pennock. 2764-2771 [doi]
• Co-evolving controller and sensing abilities in a simulated Mars Rover explorerMartin Peniak, Davide Marocco, Angelo Cangelosi. 2772-2779 [doi]
• Investigating the effect of pruning on the diversity and fitness of robot controllers based on MDL2 ELEMENT OF during Genetic ProgrammingMarc Szymanski, Heinz Wörn, Jan Fischer. 2780-2787 [doi]
• Memory-enhanced Evolutionary Robotics: The Echo State Network ApproachCédric Hartland, Nicolas Bredeche, Michèle Sebag. 2788-2795 [doi]
• Evolving fault tolerant digital circuitry: Comparing population-based and correlation-based methodsGarry Greenwood, Makarand Joshi. 2796-2801 [doi]
• Differentiating between individual class performance in Genetic Programming fitness for classification with unbalanced dataUrvesh Bhowan, Mark Johnston, Mengjie Zhang. 2802-2809 [doi]
• Coevolving heuristics for the Distributor s Pallet Packing ProblemMarcus Furuholmen, Kyrre Glette, Mats Høvin, Jim Torresen. 2810-2817 [doi]
• Mining an optimal prototype from a periodic time series: An evolutionary computation-based approachPekka Siirtola, Perttu Laurinen, Juha Röning. 2818-2824 [doi]
• Comparison of Differential Evolution and SOMA in the task of chaos control optimization - Extended study: Complex target CFRoman Senkerik, Ivan Zelinka, Zuzana Oplatková. 2825-2832 [doi]
• Differential evolution: Difference vectors and movement in solution spaceJames Montgomery. 2833-2840 [doi]
• Differential Evolution with Laplace mutation operatorMillie Pant, Radha Thangaraj, Ajith Abraham, Crina Grosan. 2841-2849 [doi]
• An evaluation of Differential Evolution in software test data generationRicardo Landa Becerra, Ramón Sagarna, Xin Yao. 2850-2857 [doi]
• Multikulti algorithm: Using genotypic differences in adaptive distributed evolutionary algorithm migration policiesLourdes Araujo, Juan Julián Merelo Guervós. 2858-2865 [doi]
• LoCost: A spatial social network algorithm for multi-objective optimisationAndrew Lewis. 2866-2870 [doi]
• Group extinction heuristics in evolution strategyChun-Kit Au, Ho-Fung Leung. 2871-2878 [doi]
• Traffic congestion forecasting based on pheromone communication model for intelligent transport systemsSatoshi Kurihara, Hiroshi Tamaki, Masayuki Numao, Junji Yano, Kouji Kagawa, Tetsuo Morita. 2879-2884 [doi]
• Application of neural networks methods to define the most important features contributing to xylanase enzyme thermostabilityMahdi Ebrahimi, Esmaeil Ebrahimie, Tahereh Deihimi, A. Delavari, Manijeh Mohammadi Dehcheshmeh. 2885-2891 [doi]
• Impact of an enhanced thermodynamic model on RnaPredict, an evolutionary algorithm for RNA secondary structure predictionKay C. Wiese, Andrew Hendriks. 2892-2899 [doi]
• A recurrent fuzzy neural model of a gene regulatory network for knowledge extraction using differential evolutionDebasish Datta, Sheli Sinha Chaudhuri, Amit Konar, Atulya Nagar, Swagatam Das. 2900-2906 [doi]
• Development and evaluation of an open-ended computational evolution system for the creation of digital organisms with complex genetic architectureAnna L. Tyler, Bill C. White, Casey S. Greene, Paul C. Andrews, R. Cowper-Sallari, Jason H. Moore. 2907-2912 [doi]
• Performance assessment of DMOEA-DD with CEC 2009 MOEA competition test instancesMinzhong Liu, Xiufen Zou, Yu Chen, Zhijian Wu. 2913-2918 [doi]
• Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problemsKarthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa Miettinen. 2919-2926 [doi]
• A clustering multi-objective evolutionary algorithm based on orthogonal and uniform designYuping Wang, Chuangyin Dang, Hecheng Li, Lixia Han, Jingxuan Wei. 2927-2933 [doi]
• Multi-objective evolutionary programming without non-domination sorting is up to twenty times fasterBoyang Y. Qu, Ponnuthurai N. Suganthan. 2934-2939 [doi]
• Comparing algorithms for search-based test data generation of Matlab® Simulink® modelsKamran Ghani, John A. Clark, Yuan Zhan. 2940-2947 [doi]
• An evolutionary random search algorithm for double auction marketsShahram Tabandeh, Hannah Michalska. 2948-2955 [doi]
• A hybrid global/local optimization technique for robust training of microwave neural network modelsHiroshi Ninomiya. 2956-2962 [doi]
• Comparing GA with MART to tomographic reconstruction of ultrasound images with and without noisy input dataShyam P. Kodali, Kalyanmoy Deb, Prabhat Munshi, N. N. Kishore. 2963-2970 [doi]
• Is situated evolution an alternative for classical evolution?Martijn C. Schut, Evert Haasdijk, Abraham Prieto. 2971-2976 [doi]
• A study of operator and parameter choices in non-revisiting genetic algorithmShiu Yin Yuen, Chi Kin Chow. 2977-2984 [doi]
• Evolutionary techniques in a constraint satisfaction problem: Puzzle Eternity IIJorge Muñoz, Germán Gutiérrez, Araceli Sanchís. 2985-2991 [doi]
• Improved shuffled frog leaping algorithm for continuous optimization problemZiyang Zhen, DaoBo Wang, Yuanyuan Liu. 2992-2995 [doi]
• Semi-supervised training of Least Squares Support Vector Machine using a multiobjective evolutionary algorithmCarvalho da Silva, J. Souza Santos, Elizabeth F. Wanner, Eduardo G. Carrano, Ricardo H. C. Takahashi. 2996-3002 [doi]
• Font-based persian character recognition using Simplified Fuzzy ARTMAP neural network improved by fuzzy sets and Particle Swarm OptimizationMaryam Keyarsalan, Gholam Ali Montazer, Kosar Kazemi. 3003-3009 [doi]
• Adaptive combinational logic circuits based on intrinsic Evolvable HardwareJixiang Zhu, Yuanxiang Li, Wei Zhang, Xuewen Xia, Xing Xu. 3010-3017 [doi]
• Evolving plastic responses in artificial cell modelsJohn Maher, Fearghal Morgan, O. M. Aodha. 3018-3023 [doi]
• Gene regulation in a particle metabolomeSimon J. Hickinbotham, Edward Clark, Susan Stepney, Tim Clarke, Peter Young. 3024-3031 [doi]
• Obtaining system robustness by mimicking natural mechanismsSong Zhan, Julian Francis Miller, Andy M. Tyrrell. 3032-3039 [doi]
• Improving the accuracy of AIRS by incorporating real world tournament selection in resource competition phaseShahram Golzari, Shyamala Doraisamy, Md Nasir Sulaiman, Nur Izura Udzir. 3040-3044 [doi]
• Anomaly detection inspired by immune network theory: A proposalHuiKeng Lau, Jon Timmis, Iain Bate. 3045-3051 [doi]
• Modelling and simulation of granuloma formation in visceral leishmaniasisAnton J. Flugge, Jon Timmis, Paul S. Andrews, John Moore, Paul M. Kaye. 3052-3059 [doi]
• Preventing premature convergence in a PSO and EDA hybridMohammed El-Abd. 3060-3066 [doi]
• Incremental semi-supervised clustering in a data stream with a flock of agentsPierrick Bruneau, Fabien Picarougne, Marc Gelgon. 3067-3074 [doi]
• Particle swarm optimization algorithm with adaptive velocity and its application to fault diagnosisHongxia Pan, Xiuye Wei. 3075-3079 [doi]
• Development of immunized pso algorithm and its application to hammerstein model identificationSatyasai Jagannath Nanda, Ganapati Panda, Babita Majhi. 3080-3086 [doi]
• A hybrid self-adaptive genetic algorithm based on sexual reproduction and baldwin effect for global optimizationMingming Zhang, Shuguang Zhao, Xu Wang. 3087-3094 [doi]
• Intensity isotherms and distributions on oligonucleotide microarraysConrad J. Burden. 3095-3102 [doi]
• XML Representation of Metabolic P SystemsVincenzo Manca, Luca Marchetti. 3103-3110 [doi]
• An association rule based approach for biological sequence feature classificationDavid Camilo Becerra Romero, Diana Vanegas, Giovanni Cantor, Luis Fernando Niño Vasquez. 3111-3118 [doi]
• Pareto-dominance in noisy environmentsHeike Trautmann, Jörn Mehnen, Boris Naujoks. 3119-3126 [doi]
• Performance of infeasibility driven evolutionary algorithm (IDEA) on constrained dynamic single objective optimization problemsHemant K. Singh, Amitay Isaacs, Trung Thanh Nguyen, Tapabrata Ray, Xin Yao. 3127-3134 [doi]
• Genetic algorithms with elitism-based immigrants for dynamic shortest path problem in mobile ad hoc networksHui Cheng, Shengxiang Yang. 3135-3140 [doi]
• Design structures subjected to uncertainty using wide bezier curveNianfeng F. Wang, Y. W. Yang. 3141-3148 [doi]
• Improving performance of radial basis function network based with particle swarm optimizationSultan Noman Qasem, Siti Mariyam Hj. Shamsuddin. 3149-3156 [doi]
• Solving inverse problems by the multi-deme hierarchic genetic strategyRobert Schaefer, Barbara Barabasz, Maciej Paszynski. 3157-3163 [doi]
• Random search with species conservation for multimodal functionsJian Ping Li, Alastair Wood. 3164-3171 [doi]
• The effect of social influence on agent specialization in small-world social networksDenton Cockburn, Ziad Kobti. 3172-3175 [doi]
• Genetic Network Programming with Rule Accumulation Considering Judgment OrderLutao Wang, Shingo Mabu, Fengming Ye, Kotaro Hirasawa. 3176-3182 [doi]
• Control of a flexible plate structure using particle swarm optimizationSabariah Julai, M. O. Tokhi, Maziah Mohamad, Idris Abd Latiff. 3183-3190 [doi]
• On the effect of network modularity on evolutionary searchBoye Annfelt Høverstad. 3191-3198 [doi]
• Entropy and mutual information can improve fitness evaluation in coevolution of neural networksBoye Annfelt Høverstad, Haaken A. Moe, Min Shi. 3199-3206 [doi]
• The importance of search space dimensionality in a computational model of embryogenyChris P. Bowers. 3207-3212 [doi]
• Hybridization of cognitive models using evolutionary strategiesOscar J. Romero López, Angélica de Antonio Jiménez. 3213-3218 [doi]
• A new sequencing method in Web-based educationLuis de Marcos, José-Javier Martínez, José Antonio Gutiérrez, Roberto Barchino, José María Gutiérrez. 3219-3225 [doi]
• A genetic algorithm for the multi-source and multi-sink minimum vertex cut problem and its applicationsMaolin Tang, Colin J. Fidge. 3226-3233 [doi]
• Multi-category bioinformatics dataset classification using extreme learning machineTarek Helmy, Zeehasham Rasheed. 3234-3240 [doi]
• A modified PSO with a dynamically varying population and its application to the multi-objective optimal design of alloy steelsQian Zhang, Mahdi Mahfouf. 3241-3248 [doi]
• Mining multi-class datasets using Genetic Relation Algorithm for rule reductionEloy Gonzales, Shingo Mabu, Karla Taboada, Kaoru Shimada, Kotaro Hirasawa. 3249-3255 [doi]
• Discovery of email communication networks from the Enron corpus with a genetic algorithm using social network analysisGarnett Carl Wilson, Wolfgang Banzhaf. 3256-3263 [doi]
• Swarm s flight: Accelerating the particles using C-CUDALucas de P. Veronese, Renato A. Krohling. 3264-3270 [doi]
• On simultaneous perturbation particle swarm optimizationYutaka Maeda, Naoto Matsushita, Seiji Miyoshi, Hiroomi Hikawa. 3271-3276 [doi]
• What is situated evolution?Martijn C. Schut, Evert Haasdijk, A. E. Eiben. 3277-3284 [doi]
• Bare Bones Particle Swarm Optimization with Gaussian or Cauchy jumpsRenato A. Krohling, Eduardo Mendel. 3285-3291 [doi]
• A quality metric for multi-objective optimization based on Hierarchical Clustering TechniquesFrederico G. Guimarães, Elizabeth F. Wanner, Ricardo H. C. Takahashi. 3292-3299 [doi]
• Shrinking Neighborhood Evolution--a novel stochastic algorithm for numerical optimizationDongcai Su, Junwei Dong, Zuduo Zheng. 3300-3305 [doi]
• A novel two level evolutionary approach For classification rules extractionA. R. Baba-Ali. 3306-3313 [doi]
• SymbricatorRTOS: A flexible and Dynamic framework for bio-inspired robot control systems and evolutionMarc Szymanski, Lutz Winkler, Davide Laneri, Florian Schlachter, Anne C. van Rossum, Thomas Schmickl, Ronald Thenius. 3314-3321 [doi]
• Optimum robot manipulator path generation using Differential EvolutionCarla González, Dolores Blanco, Luis Moreno. 3322-3329 [doi]
• Evolved art via control of cellular automataDaniel A. Ashlock, Jeffrey Tsang. 3338-3344 [doi]
• Exploring the influence of problem structural characteristics on evolutionary algorithm performanceSusan Khor. 3345-3352 [doi]
• Recombining angles in Differential EvolutionThomas Greve Kristensen. 3353-3356 [doi]