CEC 2007: Singapore

Evolutionary Data Mining - Part I

• Chun-Hao Chen, Tzung-Pei Hong, Vincent S. Tseng:
  A modified approach to speed up genetic-fuzzy data mining with divide-and-conquer strategy. 1-6
  
• Andrew W. McNabb, Christopher K. Monson, Kevin D. Seppi:
  Parallel PSO using MapReduce. 7-14
  
• Maoguo Gong, Lining Zhang, Licheng Jiao, Shuiping Gou:
  Solving multiobjective clustering using an immune-inspired algorithm. 15-22
  
• Cyril De Fillon, Alberto Bartoli:
  Symbolic regression of discontinuous and multivariate functions by Hyper-Volume Error Separation (HVES). 23-30
  
• Neven Boric, Pablo A. Estévez:
  Genetic programming-based clustering using an information theoretic fitness measure. 31-38
  
• James F. Smith:
  Evolutionary data mining of digital logic and the effects of uncertainty. 39-46
  

Representation & Operators

• Philipp Rohlfshagen, John A. Bullinaria:
  Implicit alternative splicing for genetic algorithms. 47-54
  
• Xiao-Bing Hu, Ezequiel A. Di Paolo:
  An efficient Genetic Algorithm with uniform crossover for the multi-objective Airport Gate Assignment Problem. 55-62
  
• Ekaterina Smorodkina, Daniel R. Tauritz:
  Toward automating EA configuration: the parent selection stage. 63-70
  
• W. A. de Landgraaf, A. E. Eiben, Volker Nannen:
  Parameter calibration using meta-algorithms. 71-78
  
• Renato Tinós, Shengxiang Yang:
  Self-adaptation of mutation distribution in evolutionary algorithms. 79-86
  
• Daniel A. Ashlock, Justin Schonfeld:
  A fractal representation for real optimization. 87-94
  

Evolutionary Algorithms Based on Probabilistic Models - Part I

• David Wallin, Conor Ryan:
  On the diversity of diversity. 95-102
  
• Volker Nannen, A. E. Eiben:
  Efficient relevance estimation and value calibration of evolutionary algorithm parameters. 103-110
  
• Nan Ding, Ji Xu, Shude Zhou, Zengqi Sun:
  Reducing computational complexity of estimating multivariate histogram-based probabilistic model. 111-118
  
• Hisashi Handa:
  Estimation of distribution algorithms with niche separation mechanism. 119-126
  
• Marcus Gallagher, Ian Wood, Jonathan Keith, George Sofronov:
  Bayesian inference in estimation of distribution algorithms. 127-133
  
• Takayuki Higo, Keiki Takadama:
  Hierarchical importance sampling instead of annealing. 134-141
  

Ant Colony Optimization

• Martyn Amos, Oliver Don:
  An ant-based algorithm for annular sorting. 142-148
  
• Haibin Duan, Guanjun Ma, Senqi Liu:
  Experimental study of the adjustable parameters in basic ant colony optimization algorithm. 149-156
  
• Peter Korosec, Jurij Silc, Klemen Oblak, Franc Kosel:
  The differential ant-stigmergy algorithm: an experimental evaluation and a real-world application. 157-164
  
• Guillermo Leguizamón, Carlos A. Coello Coello:
  A boundary search based ACO algorithm coupled with stochastic ranking. 165-172
  
• Shigeyoshi Tsutsui, Lichi Liu:
  Solving quadratic assignment problems with the cunning ant system. 173-179
  
• Saira Zahid, Muhammad Shahzad, Syed Usman Ali, Muddassar Farooq:
  A comprehensive formal framework for analyzing the behavior of nature-inspired routing protocols. 180-187
  

Evolutionary Computation in Finance and Economics - Part I

• Dipti Srinivasan, Vishal Sharma:
  Evolutionary computation and economic time series forecasting. 188-195
  
• Claus de Castro Aranha, Hitoshi Iba:
  Modelling cost into a genetic algorithm-based portfolio optimization system by seeding and objective sharing. 196-203
  
• Swee Chiang Chiam, Abdullah Al Mamun, Y. L. Low:
  A realistic approach to evolutionary multiobjective portfolio optimization. 204-211
  
• Rubén Ruiz-Torrubiano, Alberto Suárez:
  Use of heuristic rules in evolutionary methods for the selection of optimal investment portfolios. 212-219
  
• Yan Chen, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
  Genetic network programming with sarsa learning and its application to creating stock trading rules. 220-227
  
• Asunción Mochón, Yago Sáez, David Quintana, Pedro Isasi Viñuela:
  Bidding with memory in the presence of synergies: a genetic algorithm implementation. 228-235
  

Evolutionary Computation in Dynamic and Uncertain Environments - Part I

• Renato Tinós, Shengxiang Yang:
  Continuous dynamic problem generators for evolutionary algorithms. 236-243
  
• Dingding Chen, Allan Zhong, John Gano, Syed Hamid, Orlando De Jesus, Stan Stephenson:
  Construction of surrogate model ensembles with sparse data. 244-251
  
• Irene Moser, Tim Hendtlass:
  A simple and efficient multi-component algorithm for solving dynamic function optimisation problems. 252-259
  
• A. J. Graaff, Andries Petrus Engelbrecht:
  A local network neighbourhood artificial immune system for data clustering. 260-267
  
• Peter A. N. Bosman, Han La Poutré:
  Inventory management and the impact of anticipation in evolutionary stochastic online dynamic optimization. 268-275
  
• Anabela Simões, Ernesto Costa:
  Improving memory's usage in evolutionary algorithms for changing environments. 276-283
  

Bioinformatics & Bioengineering - Part I

• Enrique Alba, José García-Nieto, Laetitia Jourdan, El-Ghazali Talbi:
  Gene selection in cancer classification using PSO/SVM and GA/SVM hybrid algorithms. 284-290
  
• Benjamin Parent, Alexandru-Adrian Tantar, Nouredine Melab, El-Ghazali Talbi, Dragos Horvath:
  Grid-based evolutionary strategies applied to the conformational sampling problem. 291-296
  
• Ashish Anand, Ponnuthurai N. Suganthan, Kalyanmoy Deb:
  A novel fuzzy and multiobjective evolutionary algorithm based gene assignment for clustering short time series expression data. 297-304
  
• Satoko Kikuchi, Goutam Chakraborty:
  Efficient assembling of genome fragments using genetic algorithm enhanced by heuristic search. 305-312
  
• Sun Kim, Soo-Jin Kim, Byoung-Tak Zhang:
  Evolving hypernetwork classifiers for microRNA expression profile analysis. 313-319
  
• Bing Wang, Lu-Sheng Ge, Wen-You Jia, Li Liu, Fu-Chun Chen:
  Prediction of protein interactions by combining genetic algorithm with SVM method. 320-325
  

Linkage in Evolutionary Computation

• Leonardo R. Emmendorfer, Aurora Trinidad Ramirez Pozo:
  An empirical evaluation of linkage learning strategies for multimodal optimization. 326-333
  
• Corie L. Cobb, Ying Zhang, Alice M. Agogino, Jennifer Mangold:
  Case-based reasoning and object-oriented data structures exploit biological analogs to generate virtual evolutionary linkages. 334-341
  
• Luca Fossati, Pier Luca Lanzi, Kumara Sastry, David E. Goldberg, Osvaldo Gómez:
  A Simple Real-Coded Extended Compact Genetic Algorithm. 342-348
  
• Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama:
  A network design problem by a GA with linkage identification and recombination for overlapping building blocks. 349-356
  
• Chung-Yao Chuang, Ying-ping Chen:
  Likage identification by perturbation and decision tree induction. 357-363
  
• David Jonathan Coffin, Robert Elliott Smith:
  The limitations of distribution sampling for linkage learning. 364-369
  

Analysis of Genetic Representations and Operators

• Martin H. Luerssen, David M. W. Powers:
  Evolvability and Redundancy in Shared Grammar Evolution. 370-377
  
• Francisco Flórez-Revuelta, José Manuel Casado-Díaz, Lucas Martínez-Bernabeu:
  Specific crossover and mutation operators for a grouping problem based on interaction data in a regional science context. 378-385
  
• Martin H. Luerssen, David M. W. Powers:
  Graph design by graph grammar evolution. 386-393
  
• Elizabeth Montero, María Cristina Riff Rojas:
  Calibrating strategiesfor evolutionary algorithms. 394-399
  
• Leon Poladian:
  Excluding the best and worst individuals from parent selection. 400-406
  
• David Joslin, Justin Collins:
  Greedy transformation of evolutionary algorithm search spaces for scheduling problems. 407-414
  

Evolutionary Algorithms Based on Probabilistic Models - Part II

• Weishan Dong, Xin Yao:
  Covariance matrix repairing in Gaussian based EDAs. 415-422
  
• Michael Defoin-Platel, Stefan Schliebs, Nikola Kasabov:
  A versatile quantum-inspired evolutionary algorithm. 423-430
  
• Aimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff:
  Adaptivemodelling strategy for continuous multi-objective optimization. 431-437
  
• Ramón Sagarna, Andrea Arcuri, Xin Yao:
  Estimation of distribution algorithms for testing object oriented software. 438-444
  
• Yi Hong, Sam Kwong, Qingsheng Ren, Yi Xiong Wang:
  A comprehensive comparison between real population based tournament selection and virtual population based tournament selection. 445-452
  
• Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao:
  On the analysis of average time complexity of estimation of distribution algorithms. 453-460
  

Ant Colony Optimization

• Michael Geis, Martin Middendorf:
  An ant colony optimizer for melody creation with baroque harmony. 461-468
  
• Amine M. Boumaza, Bruno Scherrer:
  Convergence and rate of convergence of a foraging ant model. 469-476
  
• Emanuel Tellez-Emiquez, Efrén Mezura-Montes, Carlos A. Coello Coello:
  An ant system with steps counter for the job shop scheduling problem. 477-484
  
• Minh N. Doan:
  An effective ant-based algorithm for the degree-constrained minimum spanning tree problem. 485-491
  
• Alejandro Catalá, Javier Jaen, José A. Modioli:
  Strategies for accelerating ant colony optimization algorithms on graphical processing units. 492-500
  
• Benjamin Doerr, Daniel Johannsen:
  Refined runtime analysis of a basic ant colony optimization algorithm. 501-507
  

Evolutionary Computation in Finance and Economics - Part II

• Shingo Mabu, Yan Chen, Kotaro Hirasawa, Jinglu Hu:
  Stock trading rules using genetic network programming with actor-critic. 508-515
  
• Prisadarng Skolpadungket, Keshav P. Dahal, Napat Harnpornchai:
  Portfolio optimization using multi-obj ective genetic algorithms. 516-523
  
• Eric Guerci, Stefano Ivaldi, Marco Raberto, Silvano Cincotti:
  Learning agents in a monopolistic competition framework. 524-531
  
• Ma. Guadalupe Castillo Tapia, Carlos A. Coello Coello:
  Applications of multi-objective evolutionary algorithms in economics and finance: A survey. 532-539
  
• Nicos G. Pavlidis, E. G. Pavlidis, Michael G. Epitropakis, Vassilis P. Plagianakos, Michael N. Vrahatis:
  Computational intelligence algorithms for risk-adjusted trading strategies. 540-547
  
• Sum Sakprasat, Mark C. Sinclair:
  Classification rule mining for automatic credit approval using genetic programming. 548-555
  

Evolutionary Computation in Dynamic and Uncertain Environments - Part II

• P. G. Balaji, Dipti Srinivasan, C. K. Tham:
  Uncertainties reducing Techniques in evolutionary computation. 556-563
  
• Rodica Ioana Lung, Dumitru Dumitrescu:
  A collaborative model for tracking optima in dynamic environments. 564-567
  
• Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Y. S. Ong:
  Noise-induced features in robust multi-objective optimization problems. 568-575
  
• Xiaodong Li, Jürgen Branke, Michael Kirley:
  On performance metrics and particle swarm methods for dynamic multiobjective optimization problems. 576-583
  
• Ferrante Neri, Giuseppe Leonardo Cascella, Nadia Salvatore, Silvio Stasi:
  An adaptive prudent-daring evolutionary algorithm for noise handling in on-line PMSM drive design. 584-591
  
• Stefan Bird, Xiaodong Li:
  Using regression to improve local convergence. 592-599
  

Bioinformatics & Bioengineering - Part II

• Maciej A. Mazurowski, Piotr A. Habas, Georgia D. Tourassi, Jacek M. Zurada:
  Case-base reduction for a computer assisted breast cancer detection system using genetic algorithms. 600-605
  
• Kun-hong Liu, De-Shuang Huang, Bo Li:
  Improving the performance of ICA based microarray data prediction models with genetic algorithm. 606-611
  
• Telma Woerle de Lima, Paulo Henrique Ribeiro Gabriel, Alexandre C. B. Delbem, Rodrigo Antonio Faccioli, Ivan Nunes da Silva:
  Evolutionary algorithm to ab initio protein structure prediction with hydrophobic interactions. 612-619
  
• Andreas Dräger, Jochen Supper, Hannes Planatscher, Jørgen B. Magnus, Marco Oldiges, Andreas Zell:
  Comparing various evolutionary algorithms on the parameter optimization of the valine and leucine biosynthesis in corynebacterium glutamicum. 620-627
  
• Andreas Herzog, Karsten Kube, Bernd Michaelis, Ana D. de Lima, Thomas B. Voigt:
  Multi-population approach to approximate the development of neocortical networks. 628-633
  
• Kun-hong Liu, De-Shuang Huang, Jun Zhang:
  Microarray data prediction by evolutionary classifier ensemble system. 634-637
  

Constraint-Handling Techniques Used in Evolutionary Algorithms

• Paul M. Godley, David E. Cairns, Julie Cowie:
  Directed intervention crossover applied to bio-control scheduling. 638-645
  
• Heder S. Bernardino, Helio J. C. Barbosa, Afonso C. C. Lemonge:
  A hybrid genetic algorithm for constrained optimization problems in mechanical engineering. 646-653
  
• Arturo Hernández Aguirre, Enrique Raúl Villa Diharce, Carlos A. Coello Coello:
  Constraint handling techniques for a non-parametric real-valued estimation distribution algorithm. 654-661
  
• Efrén Mezura-Montes, Blanca Cecilia Lopez-Ramirez:
  Comparing bio-inspired algorithms in constrained optimization problems. 662-669
  
• Leticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello:
  A bi-population PSO with a shake-mechanism for solving constrained numerical optimization. 670-676
  
• Elizabeth F. Wanner, Frederico G. Guimarães, Ricardo H. C. Takahashi, Peter J. Fleming:
  Local search with quadratic approximation in Genetic Algorithms for expensive optimization problems. 677-683
  

Evolutionary Data Mining - Part II

• Augusto de Almeida Prado G. Toracio, Aurora Trinidad Ramirez Pozo:
  Multiple objective particle swarm for classification-rule discovery. 684-691
  
• Rui Huang, Mingyi He:
  Feature selection using Double Parallel Feedforward Neural Networks and Particle Swarm Optimization. 692-696
  
• Sriparna Saha, Sanghamitra Bandyopadhyay:
  On some symmetry based validity indices. 697-704
  
• Guangfei Yang, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
  Mining equalized association rules from multi concept layers of ontology using Genetic Network Programming. 705-712
  
• Maxim Shevertalov, Edward Stehle, Spiros Mancoridis:
  A genetic algorithm for solving the binning problem in networked applications detection. 713-720
  
• Bijan Bihari Misra, B. N. Biswal, Pradipta K. Dash, Ganapati Panda:
  Simplified Polynomial Neural Network for classification task in data mining. 721-728
  

Evolutionary Techniques for Decentralized and P2P Systems

• Saikat Mukherjee, Srinath Srinivasa, Sanket Patil:
  Emergent (Re)optimization for stream queries in grids. 729-735
  
• T. S. Ellis, X. Yao:
  Evolving cooperation in the non-iterated prisoner's dilemma: A social network inspired approach. 736-743
  
• Martin Kelly, Giovanna Di Marzo Serugendo:
  Decentralised car traffic control using message propagation optimized with a genetic algorithm. 744-750
  
• Muhammad Saleem, Muddassar Farooq:
  A framework for empirical evaluation of nature inspired routing protocols for wireless sensor networks. 751-758
  
• Yusuke Iwase, Reiji Suzuki, Takaya Arita:
  Evolutionary search for cellular automata that exhibit self-organizing properties induced by external perturbations. 759-765
  
• Toshiharu Sugawara, Toshio Hirotsu, Satoshi Kurihara, Kensuke Fukuda:
  Performance variation due to interference among a large number of self-interested agents. 766-773
  

Evolutionary Computation in Finance and Economics - Part III

• Dipti Srinivasan, Chen-Khong Tham, Chengyu Wu:
  Co-Evolutionary algorithms for evolving buyers' bidding strategies in an electrival power market. 774-781
  
• Jonathan Duke, Christopher D. Clack:
  Evolutionary simulation of hedging pressure in futures markets. 782-789
  
• Alma Lilia Garcia-Almanza, Edward P. K. Tsang:
  Repository method to suit different investment strategies. 790-797
  
• Adam Ghandar, Zbigniew Michalewicz, Martin Schmidt, Thuy-Duong To, Ralf Zurbruegg:
  A Computational Intelligence Portfolio Construction System for Equity Market Trading. 798-805
  
• Por-Shen Lai, Hsin-Chia Fu:
  A polygon description based similarity measurement of stock market behavior. 806-812
  
• Suneer Patel, Christopher D. Clack:
  ALPS evaluation in financial portfolio optimisation. 813-819
  

Coevolution & Collective Behavior

• Ofer M. Shir, Michael Emmerich, Thomas Bäck:
  Self-Adaptive Niching CMA-ES with Mahalanobis Metric. 820-827
  
• Chun-Kit Au, Ho-Fung Leung:
  Biasing mutations in cooperative coevolution. 828-835
  
• Hiroki Sagara, Jun Tanimoto:
  A study on social diffusive impacts of a novel car-navigation-system sharing individual information in Urban traffic systems. 836-842
  
• Tao Gong, James W. Minett, William S.-Y. Wang:
  A simulative study of the roles of cultural transmission in language evolution. 843-850
  
• Sebastian von Mammen, Christian Jacob:
  Genetic swarm grammar programming: Ecological breeding like a gardener. 851-858
  
• Özer Ciftcioglu, I. Sevil Sariyildiz, Michael S. Bittermann:
  Building performance analysis supported by GA. 859-866
  

Computational Systems Biology

• Till Steiner, Lisa Schramm, Yaochu Jin, Bernhard Sendhoff:
  Emergence of feedback in artificial gene regulatory networks. 867-874
  
• Dominique Chu:
  Evolving genetic regulatory networks for systems biology. 875-882
  
• Luca Bianco, Vincenzo Manca, Luca Marchetti, Michele Petterlini:
  Psim: a simulator for biomolecular dynamics based on P systems. 883-887
  
• Rié Komuro, Joel H. Reynolds, E. David Ford:
  Using the pareto frontier to detect deficiencies in a biological simulation model. 888-895
  
• Andreas Dräger, Marcel Kronfeld, Jochen Supper, Hannes Planatscher, Jørgen B. Magnus, Marco Oldiges, Andreas Zell:
  Benchmarking evolutionary algorithms on convenience kinetics modelsof the valine and leucine biosynthesis in C. glutamicum. 896-903
  
• Cheng-Long Chuang, Chung-Ming Chen, Grace S. Shieh, Joe-Air Jiang:
  A neuro-fuzzy inference system to infer gene-gene interactions based on recognition of microarray gene expression patterns. 904-910
  

Constraint & Uncertainty Handling

• David A. Daum, Kalyanmoy Deb, Jürgen Branke:
  Reliability-based optimization for multiple constraints with evolutionary algorithms. 911-918
  
• Dhish Kumar Saxena, Kalyanmoy Deb:
  Trading on infeasibility by exploiting constraint's criticality through multi-objectivization: A system design perspective. 919-926
  
• Chun Yew Cheong, C. J. Lin, Kay Chen Tan, D. K. Liu:
  A multi-objective evolutionary algorithm for berth allocation in a container port. 927-934
  
• Martin Lukasiewycz, Michael Glaß, Christian Haubelt, Jürgen Teich:
  SAT-decoding in evolutionary algorithms for discrete constrained optimization problems. 935-942
  
• Chixin Xiao, Zixing Cai, Yong Wang:
  A good nodes set evolution strategy for constrained optimization. 943-950
  
• Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonchi, N. Pariz:
  A novel general framework for evolutionary optimization: Adaptive fuzzy fitness granulation. 951-956
  

Evolutionary Computation in Space

• Victor M. Becerra, Slawomir J. Nasuto, J. Anderson, M. Ceriotti, C. Bombardelli:
  Search space pruning and global optimization of multiple gravity assist trajectories with deep space manoeuvres. 957-964
  
• I. Carnelli, B. Dachwald, M. Vasile:
  Optimizing low-thrust gravity assist interplanetary trajectories using evolutionary neurocontrollers. 965-972
  
• Matteo Rosa Sentinella:
  Comparison and integrated use of differential evolution and genetic algorithms for space trajectory optimisation. 973-978
  
• Christie Alisa Maddock, Massimiliano Vasile:
  Optimal design for a NEO tracking spacecraft formation. 979-986
  
• Yi Chen, Matthew P. Cartmell:
  Multi-objective optimisation on motorised momentum exchange tether for payload orbital transfer. 987-993
  
• Shuyan Wang, Changwen Zheng, Yuxin Wang:
  A Time-Fuel optimal for spacecraft formation reconfiguration. 994-998
  

Evolutionary Intelligent Agents

• Abu S. S. M. Barkat Ullah, Ruhul A. Sarker, David Cornforth, Chris Lokan:
  An agent-based memetic algorithm (AMA) for solving constrained optimazation problems. 999-1006
  
• Kwang Mong Sim, Yuanyuan Guo, Benyun Shi:
  Adaptive bargaining agents that negotiate optimally and rapidly. 1007-1014
  
• Lu Yu, Jin Zhou, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
  Double-deck Elevator Group Supervisory Control System using Genetic Network Programming with Ant Colony Optimization. 1015-1022
  
• Shinji Eto, Shingo Mabu, Kotaro Hirasawa, Takayuki Huruzuki:
  Genetic Network Programming with control nodes. 1023-1028
  
• Maciej A. Mazurowski, Jacek M. Zurada:
  Solving decentralized multi-agent control problems with genetic algorithms. 1029-1034
  
• Bo An, Kwang Mong Sim, Victor R. Lesser:
  Evolving the best-response strategy to decide when to make a proposal. 1035-1042
  

Evolutionary Algorithms Based on Probabilistic Models - Part III

• Yoshihiko Hasegawa, Hitoshi Iba:
  Estimation of distribution algorithm based on probabilistic grammar with latent annotations. 1043-1050
  
• Carlos Echegoyen, José Antonio Lozano, Roberto Santana, Pedro Larrañaga:
  Exact Bayesian network learning in estimation of distribution algorithms. 1051-1058
  
• Jirí Jaros, Josef Schwarz:
  Parallel BMDA with probability model migration. 1059-1066
  
• Christopher K. Monson, Kevin D. Seppi, James L. Carroll:
  A Utile Function Optimizer. 1067-1074
  
• Yi Hong, Sam Kwong, Qingsheng Ren, Xiong Wang:
  Over-Selection: An attempt to boost EDA under small population size. 1075-1082
  
• Cláudio F. Lima, Martin Pelikan, David E. Goldberg, Fernando G. Lobo, Kumara Sastry, Mark Hauschild:
  Influence of selection and replacement strategies on linkage learning in BOA. 1083-1090
  

Plenary Poster Session I

• Marko Privosnik:
  Sealability in evolved multi-agent systems. 1091-1096
  
• Garrison W. Greenwood, Hussein A. Abbass:
  A new local search algorithm for continuous spaces based on army ant swarm raids. 1097-1102
  
• Ajith Abraham, Amit Konar, Nayan R. Samal, Swagatam Das:
  Stability analysis of the ant system dynamics with non-uniform pheromone deposition rules. 1103-1108
  
• Vitorino Ramos, Carlos Fernandes, Agostinho C. Rosa, Ajith Abraham:
  Computational chemotaxis in ants and bacteria over dynamic environments. 1109-1117
  
• Berna Dengiz, Fulya Altiparmak, Onder Belgin:
  A hybrid ant colony optimization approach for the design of reliable networks. 1118-1125
  
• Latif Polat, Adnan Acan, Ahmet Ünveren:
  Cooperative coevolutionary algorithms for fuzzy vehicular routing problem: An analysis of efficiency vs. geographical distribution. 1126-1132
  
• Satoshi Ono, Yusuke Hirotani, Shigeru Nakayama:
  Multiple solution search based on hybridization of real-coded evolutionary algorithm and quasi-newton method. 1133-1140
  
• Steven Orla Kimbrough, David Harlan Wood:
  On gray-coded binary representation for supporting a (repair-by-interpolation) genetic operator for constrained Optimization Problems. 1141-1148
  
• K. Shingyochi, Hidemi Yamamoto, Yasuhiro Tsujimura, Yasushi Kambayashi:
  Comparative study with several GAs for optimal component arrangement in a circular consecutiev-k-out-of-n: F system. 1149-1155
  
• Donald Davendra, Godfrey C. Onwubolu:
  Enhanced differential evolution hybrid scatter search for discrete optimization. 1156-1162
  
• Tzung-Pei Hong, Wen-Yang Lin, Shu-Min Liu, Jiann-Horng Lin:
  Experimental analysis of dynamic migration intervals on 0/1 knapsack problems. 1163-1167
  
• Kiruthika Ramanathan, Sheng Uei Guan:
  Evolutionary combinatorial optimization for recursive supervised learning with clustering. 1168-1174
  
• Yuichi Nagata:
  Efficient evolutionary algorithm for the vehicle routing problem with time windows: edge assembly crossover for the VRPTW. 1175-1182
  
• Miyuki Shibasaka, Akira Hara, Takumi Ichimura, Tetsuyuki Takahama:
  Species-based differential evolution with switching search strategies for multimodal function optimization. 1183-1190
  
• Asim Munawar, Masaharu Munetomo, Kiyoshi Akama:
  Optimization problem solving framework employing GAs with linkage identification over a grid environment. 1191-1198
  
• Xiang Feng, Francis C. M. Lau:
  A Parallel evolutionary approach to multi-objective optimization. 1199-1206
  
• W. J. Tang, Q. H. Wu, J. R. Saunders:
  A bacterial swarming algorithm for global optimization. 1207-1212
  
• Nanlin Jin, Mette Termansen, Klaus Hubacek, Joseph Holden, Mike Kirkby:
  Adaptive farming strategies for dynamic economic environment. 1213-1220
  
• Kok Siong Lum, Minh Nhut Nguyen, Duan Shi:
  GA based FCMAC-BYY model for bank solvency analysis. 1221-1225
  
• C. Quek, P. Cheng, A. Jain:
  Predicting impact of news on stock price: An evaluation of neuro fuzzy systems. 1226-1233
  
• Napat Harnpornchai, Nopasit Chakpitak, Tirapot Chandarasupsang, Tuang-Ath Chaikijkosi, Keshav P. Dahal:
  Dynamic adjustment of age distribution in Human Resource Management by genetic algorithms. 1234-1239
  
• Abdelkader Heni, Adel M. Alimi:
  Approximate inference in dynamic possibilistic networks. 1240-1246
  
• Hui Liu, Zixing Cai, Yong Wang:
  A new constrained optimization evolutionary algorithm by using good point set. 1247-1254
  
• Sanyou Y. Zeng, Hui Shi, Hui Li, Guang Chen, Lixin Ding, Lishan Kang:
  A lower-dimensional-search evolutionary algorithm and its application in constrained optimization problems. 1255-1260
  
• Emiliano Carreno, Guillermo Leguizamón, Neal Wagner:
  Evolution of classification rules for comprehensible knowledge discovery. 1261-1268
  
• Thomas Buchsbaum:
  Toward a winning GP strategy for continuous nonlinear dynamical system identification. 1269-1275
  
• Xiuju Fu, Christina Liew, Harold Soh, Gary Kee Khoon Lee, Terence Hung, Lee-Ching Ng:
  Time-series infectious disease data analysis using SVM and genetic algorithm. 1276-1280
  
• Cuong To, Jiri Vohradsky:
  Binary classification using parallel genetic algorithm. 1281-1287
  
• Luzia Vidal de Souza, Aurora T. R. Pozo, Joel M. C. da Rosa, Anselmo Chaves Neto:
  The boosting technique using correlation coefficient to improve time series forecasting accuracy. 1288-1295
  
• Anirban Mukhopadhyay, Ujjwal Maulik:
  Multiobjective approach to categorical data clustering. 1296-1303
  
• Rikard König, Ulf Johansson, Lars Niklasson:
  Genetic programming - a tool for flexible rule extraction. 1304-1310
  
• Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu:
  Mining association rules from databases with continuous attributes using genetic network programming. 1311-1317
  
• Yan Zhang, Feng Yang, YongXuan Huang:
  A novel selection-learning algorithm for multi-satellite scheduling problems. 1318-1324
  
• Chiung Moon, YoungSu Yun, Choonseong Leem:
  Evolutionary algorithm based on topological sort for precedence constrained sequencing. 1325-1332
  
• Ivan Sekaj, Juraj Perkacz:
  Some aspects of parallel genetic algorithms with population re-initialization. 1333-1338
  
• Ivan Sekaj, Juraj Perkacz:
  Genetic programming - based controller design. 1339-1343
  
• George G. Mitchell, Barry McMullin, James Decraene:
  A cost benefit operator for efficient multi level genetic algorithm searches. 1344-1350
  
• Lukas Dolivka, Jirí Hospodka:
  Using deferential evolution algorithm for the multi-objective optimization of a switched-current circuit. 1351-1358
  
• Masao Arakawa:
  Range juggling for better convergence in genetic range genetic algorithms. 1359-1365
  
• Juan C. Quiroz, Sushil J. Louis, Anil Shankar, Sergiu M. Dascalu:
  Interactive Genetic Algorithms for User Interface Design. 1366-1373
  
• Jun Tanimoto:
  Emergence of cooperation supported by communication in a one-shot 2×2 game. 1374-1381
  
• Timo Mantere, Janne Koljonen:
  Solving, rating and generating Sudoku puzzles with GA. 1382-1389
  
• Simon E. Parkin, Peter Andras, Graham Morgan:
  Evolutionary optimization of parameters for distributed virtual environments. 1390-1397
  
• Joseph Qualls, Max Garzon, David J. Russomanno:
  Neural-based agents cooperate to survive in the defend and gather computer game. 1398-1402
  
• Emilio G. Ortíz-García, Sancho Salcedo-Sanz, Ángel M. Pérez-Bellido, Antonio Portilla-Figueras:
  A hybrid hopfield network-genetic algorithm approach for the lights-up puzzle. 1403-1407
  
• Matteo Casadei, Ronaldo Menezes, Mirko Viroli, Robert Tolksdorf:
  Self-organized over-clustering avoidance in tuple-space systems. 1408-1415
  
• Jinshu Li, Heyong Wang, Jing Liu, Licheng Jiao:
  Solving SAT problem with a multiagent evolutionary algorithm. 1416-1422
  
• Ketan Kotecha, Sonal Popat:
  Multi objective genetic algorithm based adaptive QoS routing in MANET. 1423-1428
  
• Jason C. Isaacs, Simon Y. Foo, Anke Meyer-Bäse:
  Enhanced prediction of protein cellular localization sites with genetic algorithm optimal kernel projection analysis. 1429-1435
  
• Ruxandra Stoean, Mike Preuss, Catalin Stoean, Dumitru Dumitrescu:
  Concerning the potential of evolutionary support vector machines. 1436-1443
  
• Edimilson Batista dos Santos, Estevam R. Hruschka Jr., Maria do Carmo Nicoletti:
  Conditional independence based learning of bayesian classifiers guided by a variable ordering genetic search. 1444-1449
  
• Yoshinobu Watanabe, Tomohiro Yoshikawa, Takeshi Furuhashi:
  A study on application of fitness inference method to PC-IGA. 1450-1455
  
• Hironobu Sasaki, Naoyuki Kubota:
  Behavior learning of multiple mobile robots based on spiking neural networks with a parallel genetic algorithm. 1456-1461
  
• Tadahiko Murata, Yusuke Aoki:
  Developing control table for multiple agents using GA-Based Q-learning with neighboring crossover. 1462-1467
  
• Huanhuan Chen, Xin Yao:
  Evolutionary random neural ensembles based on negative correlation learning. 1468-1474
  
• Jack Mario Mingo, Ricardo Aler:
  Grammatical evolution guided by reinforcement. 1475-1482
  
• Sergey Kornienko, Olga Kornienko, A. Nagarathinam, Paul Levi:
  From real robot swarm to evolutionary multi-robot organism. 1483-1490
  
• Naoyuki Kubota, Yu Tomioka:
  Evolutionary robot vision for human tracking of partner robots in ambient intelligence. 1491-1496
  
• Naoyuki Kubota, Toshiyuki Shimizu:
  Trajectory generation based on a steady-state genetic algorithm for imitative learning of a partner robot. 1497-1502
  
• Emmanouil Hourdakis, Michail Maniadakis, Panos E. Trahanias:
  A biologically inspired approach for the control of the hand. 1503-1510
  
• Sergiu Goschin, Eduard Franti, Monica Dascalu, Sanda Osiceanu:
  Combine and compare evolutionary robotics and reinforcement Learning as methods of designing autonomous robots. 1511-1516
  
• Roman Neruda:
  Evolving neural network which control a robotic agent. 1517-1522
  
• Jiaqi Zhang, Qijun Chen:
  Learning based gaits evolution for an AIBO dog. 1523-1526
  
• Ali R. Vahdat, Naser NourAshrafoddin, Saeed Shiry Ghidary:
  Mobile robot global localization using differential evolution and particle swarm optimization. 1527-1534
  
• Indra Adji Sulistijono, Naoyuki Kubota:
  Evolutionary robot vision and particle swarm optimization for Multiple human heads tracking of a partner robot. 1535-1541
  
• Francesco Cupertino, Ernesto Mininno, David Naso, Biagio Turchiano, Luigi Salvatore:
  Compact GAs for neural network online training in tubular linear motor control. 1542-1547
  
• Elhadj Benkhelifa, Anthony G. Pipe, Gabriel Dragffy, Mokhtar Nibouche:
  Towards evolving fault tolerant biologically inspired hardware using evolutionary algorithms. 1548-1554
  
• P. Nirmal Kumar, S. Anandhi, J. Raja Paul Perinbam:
  Evolving virtual reconfigurable circuit for a fault tolerant system. 1555-1561
  
• Alexandros Agapitos, Julian Togelius, Simon M. Lucas:
  Multiobjective techniques for the use of state in genetic programming applied to simulated car racing. 1562-1569
  
• Phillip Wong, Mengjie Zhang:
  Effects of program simplification on simple building blocks in Genetic Programming. 1570-1577
  
• Alvin Cai, Chai Quek, Douglas L. Maskell:
  Type-2 GA-TSK fuzzy neural network. 1578-1585
  
• Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Abdullah Al Mamun:
  Multi-objective evolutionary Recurrent Neural Networks for system identification. 1586-1592
  
• Ernest Lumanpauw, Michel Pasquier, Richard Jayadi Oentaryo:
  Generic GA-based meta-level parameter optimization for pattern recognition systems. 1593-1600
  
• Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki, Ramin Halavati, Caro Lucas:
  Evolving fuzzy classifiers using a symbiotic approach. 1601-1607
  
• Lotika Singh, Satish Kumar:
  Migration based parallel differential evolution learning in Asymmetric Subsethood Product Fuzzy Neural Inference System: A simulation study. 1608-1613
  
• Hak-Keung Lam, S. H. Ling, Herbert H. C. Iu, C. W. Yeung, F. H. Frank Leung:
  Control of nonlinear systems with a linear state-feedback controller and a modified neural network tuned by genetic algorithm. 1614-1619
  
• Roman Neruda:
  Hybrid evolutionary algorithm for multilayer perceptron networkswith competitive performance. 1620-1627
  
• Eu Jin Teoh, Cheng Xiang:
  A global-local hybrid Evolutionary Strategy (ES) for Recurrent Neural Networks (RNNs) in system identification. 1628-1635
  
• Babita Majhi, Ganapati Panda:
  Bacterial foraging based identification of nonlinear dynamic system. 1636-1641
  
• France Cheong:
  A hierarchical fuzzy system with high input dimensions for forecasting foreign exchange rates. 1642-1647
  
• Sanjay K. Sharma, George W. Irwin, R. Sutton:
  Fuzzy logic for priority based genetic search in evolving a neural network architecture. 1648-1653
  
• Ji-Xiang Du, De-Shuang Huang, Zengfu Wang:
  Pattern classification with a PSO optimization based elliptical basis function neural networks. 1654-1661
  
• Zhong-Qiu Zhao, De-Shuang Huang:
  An evolutionary modular neural network for unbalanced pattern classifications. 1662-1669
  
• J.-X. Xu, J. S. Lim:
  A new Evolutionary Neural Network for forecasting net flow of a car sharing system. 1670-1676
  
• Teck Wee Chua, Woei Wan Tan:
  GA optimisation of Non-Singleton Fuzzy Logic System for ECG classification. 1677-1684
  
• F. Altiparmak, I. Karaoglan:
  A genetic ant colony optimization approach for concave cost transportation problems. 1685-1692
  
• Jingsong He, Zhenyu Yang, Xin Yao:
  Hybridisation of evolutionary programming and machine learning with k-nearest neighbor estimation. 1693-1700
  
• Amitay Isaacs, Tapabrata Ray, Warren Smith:
  A Hybrid Evolutionary Algorithm With Simplex Local Search. 1701-1708
  
• Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki:
  Hybrid optimization using DIRECT, GA, and SQP for global exploration. 1709-1716
  
• C. Dürr, T. Fühner, Ponnuthurai N. Suganthan:
  LisBON: A framework for parallelisation and hybridisation of optimisation algorithms. 1717-1724
  
• André G. Santos, Geraldo R. Mateus:
  Crew scheduling urban problem: an exact column generation approach improved by a genetic algorithm. 1725-1731
  
• D. J. Cornforth:
  An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system. 1732-1739
  
• P. G. Balaji, G. Sachdeva, Dipti Srinivasan, Chen-Khong Tham:
  Multi-agent System based Urban Traffic Management. 1740-1747
  
• Yonas G. Woldesenbet, Gary G. Yen:
  Dynamic evolutionary algorithm with variable relocation vectors. 1748-1755
  
• Yoshiyuki Matsumura, Kazuhiro Ohkura, Yoshiki Matsuura, Masashi Oiso, Noriyuki Fujimoto, Kenichi Hagihara:
  Grid task scheduling algorithm R3Q for evolution strategies. 1756-1763
  
• Salwani Abdullah, Edmund K. Burke, Barry McCollum:
  A hybrid evolutionary approach to the university course timetabling problem. 1764-1768
  
• Nayan R. Samal, Amit Konar, Swagatam Das, Ajith Abraham:
  A closed loop stability analysis and parameter selection of the Particle Swarm Optimization dynamics for faster convergence. 1769-1776
  

Real-World Applications - Part I

• Hirotaka Kaji, Hajime Kita:
  Acceleration of Experiment-Based Evolutionary Multi-objective Optimization of internal-combustion engine controllers using fitness estimation. 1777-1784
  
• Yi Hu, Peter Thomas, Russel J. Stonier:
  Traffic signal control using fuzzy logic and evolutionary algorithms. 1785-1792
  
• Rafael Ramirez, Montserrat Puiggros:
  An evolutionary computation approach to cognitive states classification. 1793-1799
  
• Yuji Sato, Yuhki Inoue, Yosuke Yasuda:
  Applying GA to self-allotment of rewards in event-driven hybrid learning classifier systems. 1800-1807
  
• Juan Carlos Gomez, Olac Fuentes:
  Using Evolution Strategies to perform stellar population synthesis for galaxy spectra from SDSS. 1808-1814
  
• Qian Zhang, Mahdi Mahfouf:
  A new Reduced Space Searching Algorithm (RSSA) and its application in optimal design of alloy steels. 1815-1822
  

Molecular Computing for Information Processing and Self-Assembly

• Zuwairie Ibrahim, Tri Basuki Kurniawan, Marzuki Khalid:
  A DNA sequence design for molecular computation of HPP with output visualization based on real-time PCR. 1823-1828
  
• Zuwairie Ibrahim, Muhammad Faiz Mohamed Saaid, Ali S. Paramita, Akira Suyama, John A. Rose:
  An improved readout method of molecular computation based on real-time PCR implemented on DNA Engine Opticon 2 System. 1829-1834
  
• Joseph Ibershoff, Jerzy W. Jaromczyk, Danny van Noort:
  Making the SAT decision Based on a DNA Computation. 1835-1842
  
• Masayuki Yamamura, Noriko Hirayama, Ken Komiya:
  An implementation of Aqueous memory molecules with light responsive DNAs. 1843-1848
  
• L. Jeganathan, Kamala Krithivasan, Raghavan Rama:
  Self-assembly of graphs. 1849-1855
  
• Joo-Kyung Kim, Byoung-Tak Zhang:
  Evolving hypernetworks for pattern classification. 1856-1862
  

Theory of Evolutionary Computation - Part I

• Bakir Lacevic, Samim Konjicija, Zikrija Avdagic:
  Population diversity measure based on singular values of the distance matrix. 1863-1869
  
• Pietro Simone Oliveto, Jun He, Xin Yao:
  Evolutionary algorithms and the Vertex Cover problem. 1870-1877
  
• S. Y. Zhao, Kwok Yip Szeto:
  Combining exhaustive search with evolutionary computation via computational resource allocation. 1878-1881
  
• Per Kristian Lehre, Xin Yao:
  Runtime analysis of (1+l) EA on computing unique input output sequences. 1882-1889
  
• Benjamin Doerr, Edda Happ, Christian Klein:
  A tight analysis of the (1 + 1)-EA for the single source shortest path problem. 1890-1895
  
• Jin Yin, Wei Chen, Yun Li:
  Evolutionary computation enabled game theory based modelling of electricity market behaviours and applications. 1896-1903
  

Differential Evolution - Part I

• Anyong Qing:
  A parametric study on differential evolution based on benchmark electromagnetic inverse scattering problem. 1904-1909
  
• Prathyush P. Menon, Declan G. Bates, Ian Postlethwaite:
  Deterministic versus evolutionary optimisation methods for nonlinear robustness analysis of flight control laws. 1910-1917
  
• Chukiat Worasucheep:
  A new self adaptive differential evolution: Its application in forecasting the index of Stock Exchange of Thailand. 1918-1925
  
• Swagatam Das, Amit Konar, Uday Kumar Chakraborty:
  Annealed Differential Evolution. 1926-1933
  
• Olusegun Olorunda, Andries Petrus Engelbrecht:
  Differential evolution in high-dimensional search spaces. 1934-1941
  
• Andries Petrus Engelbrecht, Gary Pampara:
  Binary differential evolution strategies. 1942-1947
  

Particle Swarm Intelligence

• Mihaela Breaban, Madalina Ionita, Cornelius Croitoru:
  A new PSO approach to constraint satisfaction. 1948-1954
  
• Riccardo Poli, Dan Brattonx, Tim Blackwell, James Kennedy:
  Theoretical derivation, analysis and empirical evaluation of a simpler Particle Swarm Optimiser. 1955-1962
  
• Xiao-Ian Zhuo, Jun Zhang, Wei-neng Chen:
  A new pheromone design in ACS for solving JSP. 1963-1969
  
• Adham Atyabi, Somnuk Phon-Amnuaisuk:
  Particle swarm optimization with area extension (AEPSO). 1970-1976
  
• S. H. Ling, C. W. Yeung, K. Y. Chan, Herbert H. C. Iu, F. H. Frank Leung:
  A new hybrid Particle Swarm Optimization with wavelet theory based mutation operation. 1977-1984
  
• Nguyen Quang Uy, Nguyen Xuan Hoai, Robert I. McKay, Pham Minh Tuan:
  Initialising PSO with randomised low-discrepancy sequences: the comparative results. 1985-1992
  

Evolutionary Design

• A. Bourmistrova, S. Khantis:
  Control system design optimisation via genetic programming. 1993-2000
  
• Germán Terrazas, Marian Gheorghe, Graham Kendall, Natalio Krasnogor:
  Evolving tiles for automated self-assembly design. 2001-2008
  
• Pan Zhang, Xin Yao, Lei Jia, Bernhard Sendhoff, Thorsten Schnier:
  Target shape design optimization by evolving splines. 2009-2016
  
• Gregory Hornby:
  Measuring complexity by measuring structure and organization. 2017-2024
  
• Jin Zhou, Lu Yu, Shingo Mabu, Kotaro Hirasawa, Jinglu Hu, Sandor Markon:
  Double-deck elevator systems using Genetic Network Programming with reinforcement learning. 2025-2031
  
• G. Kandavanam, Dmitri Botvich, Sasitharan Balasubramaniam, Ponnuthurai N. Suganthan, William Donnelly:
  A multi-layered solution for supporting isp traffic demand using genetic algorithm. 2032-2039
  

Memetic & Hybrid Algorithms

• Y. G. Petalas, Konstantinos E. Parsopoulos, Michael N. Vrahatis:
  Entropy-based Memetic Particle Swarm Optimization for computing periodic orbits of nonlinear mappings. 2040-2047
  
• Andrea Arcuri, Xin Yao:
  A Memetic Algorithm for test data generation of Object-Oriented software. 2048-2055
  
• Massimiliano Vasile:
  A behavioral-based meta-heuristic for robust global trajectory optimization. 2056-2063
  
• DongKyu Sohn, Shingo Mabu, Kaoru Shimada, Kotaro Hirasawa, Jinglu Hu:
  Training of Multi-Branch Neural Networks using RasID-GA. 2064-2070
  
• Kareem Shaker, David Corne, Richard Everson:
  Investigating hybrids of evolutionary search and linear discriminant analysis for authorship attribution. 2071-2077
  
• Adnan Acan, Ahmet Ünveren:
  A shared-memory ACO+GA hybrid for combinatorial optimization. 2078-2085
  

Multiobjective Optimization

• Dimo Brockhoff, Eckart Zitzler:
  Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods. 2086-2093
  
• Yosuke Iijima, Masahiro Murakawa, Yuji Kasai, Eiichi Takahashi, Tetsuya Higuchi:
  Proposal of transmission line modeling using multi-objective optimization techniques. 2094-2100
  
• Gideon Avigad, Kalyanmoy Deb:
  The sequential optimization-constraint multi-objective problem and its applications for robust planning of robot paths. 2101-2108
  
• Kalyanmoy Deb, Rahul Tewari, Mayur Dixit, Joydeep Dutta:
  Finding trade-off solutions close to KKT points using evolutionary multi-objective optimization. 2109-2116
  
• Gideon Avigad:
  A simultaneous EMO for the solution of the multi-Multi-Objective Optimization Problem. 2117-2124
  
• Kalyanmoy Deb, Abhay Kumar:
  Light beam search based multi-objective optimization using evolutionary algorithms. 2125-2132
  

Genetics-Based Machine Learning

• Larry Bull, Toby O'Hara, Pier Luca Lanzi:
  Anticipation mappings for learning classifier systems. 2133-2140
  
• Daniele Loiacono, Andrea Marelli, Pier Luca Lanzi:
  Support vector machines for computing action mappings in learning classifier systems. 2141-2148
  
• Pier Luca Lanzi:
  An analysis of generalization in XCS with symbolic conditions. 2149-2156
  
• Cristiano Grijó Pitangui, Gerson Zaverucha:
  Improved natural crossover operators in GBIVIL. 2157-2164
  
• Amit Banerjee, Sushil J. Louis:
  A recursive clustering methodology using a genetic algorithm. 2165-2172
  
• Robert Elliott Smith, Max Kun Jiang:
  A learning classifier system with mutual-information-based fitness. 2173-2180
  

Theory of Evolutionary Computation - Part II

• Ekaterina Smorodkina, Daniel R. Tauritz:
  Greedy Population Sizing for Evolutionary Algorithms. 2181-2187
  
• Markus Borschbach, Winfried Dreckmann:
  On the role of an evolutionary solution for the brachistochrone-problem. 2188-2193
  
• Minqiang Li, Daniel E. Goldberg, Kumara Sastry, Tian-Li Yu:
  Real-coded ECGA for solving decomposable real-valued optimization problems. 2194-2201
  
• Yang Chen, Jinglu Hu, Kotaro Hirasawa, Songnian Yu:
  Performance tuning of genetic algorithms with reserve selection. 2202-2209
  
• Hsinyi Jiang, Carl K. Chang, Dan Zhu, Shuxing Cheng:
  A foundational study on the applicability of genetic algorithm to software engineering problems. 2210-2219
  
• Jingqiao Zhang, Arthur C. Sanderson:
  An approximate gaussian model of Differential Evolution with spherical fitness functions. 2220-2228
  

Differential Evolution - Part II

• Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
  Quasi-oppositional Differential Evolution. 2229-2236
  
• Mahamed G. H. Omran, Andries Petrus Engelbrecht:
  Differential evolution for integer programming problems. 2237-2242
  
• Andrew Koh:
  Solving transportation bi-level programs with Differential Evolution. 2243-2250
  
• Jingqiao Zhang, Arthur C. Sanderson:
  JADE: Self-adaptive differential evolution with fast and reliable convergence performance. 2251-2258
  
• Teng Nga Sing, Jason Teo, Mohd. Hanafi Ahmad Hijazi:
  Empirical testing on 3-Parents Differential Evolution (3PDE) for unconstrained function optimization. 2259-2266
  
• Xingshi He, Lin Han:
  A novel binary differential evolution algorithm based on artificial immune system. 2267-2272
  

New Particle Swarm Optimization Methods

• Christian Veenhuis, Mario Köppen, Raul Vicente-Garcia:
  Evolutionary multi-objective optimization of Particle Swarm Optimizers. 2273-2280
  
• Praveen Kumar Tripathi, Sanghamitra Bandyopadhyay, Sankar K. Pal:
  Adaptive mufti-objective particle swarm optimization algorithm. 2281-2288
  
• Peng-Yeng Yin, Fred Glover, Manuel Laguna, Jia-Xian Zhu:
  Scatter PSO - A more effective form of Particle Swarm Optimization. 2289-2296
  
• Andries Petrus Engelbrecht, L. N. H. van Loggerenberg:
  Enhancing the NichePSO. 2297-2302
  
• Y. Tan, Z. M. Xiao:
  Clonal particle swarm optimization and its applications. 2303-2309
  
• Yu-Xuan Wang, Zhen-Dong Zhao, Ran Ren:
  Hybrid particle swarm optimizer with tabu strategy for global numerical optimization. 2310-2316
  

Evolutionary Computation for Power Engineering Applications ? Part I

• B. Sumanbabu, Sukumar Mishra, B. K. Panigrahi, Ganesh K. Venayagamoorthy:
  Robust tuning of modern power system stabilizers using Bacterial Foraging Algorithm. 2317-2324
  
• Chao-Lung Chiang:
  Efficient trade-off algorithm for hydrothermal power systems. 2325-2330
  
• S. Mishra, G. Dilip Redely, P. Eswar Rao, K. Santosh:
  Implementation of new evolutionary techniques for transmission loss reduction. 2331-2336
  
• Ke Meng, Rui Xia, Ting Ji, Feng Qian:
  Electricity reference price forecasting with Fuzzy C-means and Immune Algorithm. 2337-2343
  
• Z. Lu, M. S. Li, W. J. Tang, Q. H. Wu:
  Optimal location of FACTS devices by a Bacterial Swarming Algorithm for reactive power planning. 2344-2349
  
• V. Subrarnanyam, D. Srinivasan, R. Oniganti:
  A Dual layered PSO Algorithm for evolving an Artificial Neural Network controller. 2350-2357
  

Memetic Algorithms - Part I

• Annemari Auvinen, Teemu Keltanen, Mikko Vapa:
  Topology management in unstructured P2P networks using neural networks. 2358-2365
  
• Anna V. Kononova, Kevin J. Hughes, Mohamed Pourkashanian, Derek B. Ingham:
  Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics. 2366-2373
  
• Ferrante Neri, Ville Tirronen, Tommi Kärkkäinen, Tuomo Rossi:
  Fitness diversity based adaptation in Multimeme Algorithms: A comparative study. 2374-2381
  
• Mehmet Fatih Tasgetiren, Ponnuthurai N. Suganthan, Quan-Qe Pan, Yun-Chia Liang:
  A genetic algorithm for the generalized traveling salesman problem. 2382-2389
  
• Q. H. Nguyen, Yew-Soon Ong, Natalio Krasnogor:
  A study on the design issues of Memetic Algorithm. 2390-2397
  
• Anh-Duc Do, Siu-Yeung Cho:
  Memetic Algorithm based fuzzy clustering. 2398-2404
  

Real-World Applications - Part II

• Jin-Myung Won, Fakhreddine Karray:
  A Genetic Algorithm with cycle representation and contraction digraph model for Guideway Network design of Personal Rapid Transit. 2405-2412
  
• Koji Shimoyama, Jin Ne Lim, Shinkyu Jeong, Shigeru Obayashi, Masataka Koishi:
  An approach for multi-objective robust optimization assisted by response surface approximation and visual data-mining. 2413-2420
  
• Subramaniam Parasuraman, V. Ganapathy, Bijan Shirinzadeh:
  Multiple sensors data integration using MFAM for mobile robot navigation. 2421-2427
  
• Rolf Dornberger, Lukas Frey, Claudia Schmid:
  Use of a genetic algorithm in a distributed resource management software. 2428-2434
  
• Alistair Sedwell, Ian C. Parmee:
  Techniques for the design of molecules and combinatorial chemical libraries. 2435-2442
  
• D. P. Acharya, Ganapati Panda, Y. V. S. Lakshmi:
  Constrained genetic algorithm based independent component analysis. 2443-2449
  

Artificial Life

• Chi-Ho Lee, Kang-Hee Lee, Jong-Hwan Kim:
  Evolutionary multi-objective optimization for generating artificial creature's personality. 2450-2455
  
• Emmanuel Sapin, Larry Bull, Andrew Adamatzky:
  A Genetic approach to search for glider guns in cellular automata. 2456-2462
  
• David Newth, David Cornforth:
  Asynchronous spatial evolutionary games: spatial patterns, Diversity and Chaos. 2463-2470
  
• Andrea Soltoggio, Peter Dürr, Claudio Mattiussi, Dario Floreano:
  Evolving neuromodulatory topologies for reinforcement learning-like problems. 2471-2478
  
• Xingwei Wang, Lin Han, Min Huang:
  A game theory and bcc based flexible qos unicast routing scheme. 2479-2484
  
• Gunnar Tufte, Pauline C. Haddow:
  Achieving environmental tolerance through the initiation and exploitation of external information. 2485-2492
  

Evolutionary Learning Systems

• Nan Liu, Han Wang:
  Extraction of hybrid trace features with evolutionary computation for face recognition. 2493-2500
  
• Robert I. McKay, Jungseok Shin, Tuan Hao Hoang, Nguyen Xuan Hoai, Naoki Mori:
  Using compression to understand the distribution of buildingblocks ingenetic programming populations. 2501-2508
  
• Kamran Shafi, Hussein A. Abbass, Weiping Zhu:
  Real time signature extraction from a supervised classifier system. 2509-2516
  
• Naoyuki Kubota, Yu Tomioka:
  Learnability in human gesture recognition for a partner robot based on computational intelligence. 2517-2522
  
• Henrique Castro Neto, Rita Maria da Silva Julia:
  LS-Draughts - A Draughts Learning System based on genetic algorithms, neural network and temporal differences. 2523-2529
  
• M. Privosnik:
  The scalability of evolved on line bin packing heuristics. 2530-2537
  

Computational Finance & Economics

• Huayang Xie, Mengjie Zhang, Peter Andreae:
  Genetic Programming for New Zealand CPI Inflation Prediction. 2538-2545
  
• Guilan Zhi, Shigeyoshi Watanabe:
  Comparison of discriminatory pricing and uniform pricing rules in electricity markets using an agent model with risk consideration. 2546-2553
  
• Ernest Lumanpauw, Michel Pasquier, Chai Quek:
  MNFS-FPM: A novel memetic neuro-fuzzy system based financial portfolio management. 2554-2561
  
• Y. Orito, H. Yamamoto:
  Index fund optimization using a genetic algorithm and a heuristic local search algorithm on scatter diagrams. 2562-2568
  
• Ritanjali Majhi, Ganapati Panda, Gadadhar Sahoo, Pradipta K. Dash, D. P. Das:
  Stock market prediction of S&P 500 and DJIA using Bacterial Foraging Optimization Technique. 2569-2575
  
• Shuo Yao, Michel Pasquier, Chai Quek:
  A foreign exchange portfolio management mechanism based on fuzzy neural networks. 2576-2583
  

Theoretical Foundations of Evolutionary Computation

• Cameron Skinner, Patricia J. Riddle:
  Random search can outperform mutation. 2584-2590
  
• Benjamin Doerr, Michael Gnewuch, Nils Hebbinghaus, Frank Neumann:
  A rigorous view on neutrality. 2591-2597
  
• Mario Graff, Riccardo Poli, Alberto Moraglio:
  Linear selection. 2598-2605
  
• Boris Mitavskiy, Chris Cannings:
  An improvement of the "quotient construction" method and further asymptotic results on the stationary distributions of the Markov chains modeling evolutionary algorithms. 2606-2613
  
• Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt:
  On improving approximate solutions by evolutionary algorithms. 2614-2621
  
• Tobias Friedrich, Nils Hebbinghaus, Frank Neumann:
  Plateaus can be harder in multi-objective optimization. 2622-2629
  

Cognitive Systems & Applications

• Geok See Ng, Chai Quek:
  A computational intelligence system based on memory consolidation model. 2630-2635
  
• Tanasanee Phienthrakul, Boonserm Kijsirikul:
  GPES: An algorithm for evolving hybrid kernel functions of Support Vector Machines. 2636-2643
  
• H. K. Phee, W. L. Tung, C. Quek:
  A personalized approach to insulin regulation using brain-inspired neural sematic memory in diabetic glucose control. 2644-2651
  
• Alex Chong, Kok Wai Wong:
  On the Fuzzy Cognitive Map attractor distance. 2652-2657
  
• Abdul Wahab, Chai Quek, Sussan De:
  Speech emotion recognition using auditory cortex. 2658-2664
  
• Pavol Malinak, Rudolf Jaksa:
  Simultaneous gradient and evolutionary neural network weights adaptation methods. 2665-2671
  

Evolutionary Computation for Process Optimisation

• Kostas Vergidis, Ashutosh Tiwari, Basim Majeed:
  Composite business processes: An evolutionary multi-objective optimization approach. 2672-2678
  
• Chris J. Turner, Ashutosh Tiwari:
  An experimental evaluation of feedback loops in a business process mining genetic algorithm. 2679-2686
  
• Jörn Mehnen, Heike Trautmann, Ashutosh Tiwari:
  Introducing user preference using Desirability Functions in Multi-Objective Evolutionary Optimisation of noisy processes. 2687-2694
  
• Pravin Pawar, Hailiang Mei, Ing Widya, Bert-Jan van Beijnum, Aart van Halteren:
  Context-aware task assignment in ubiquitous computing environment - A genetic algorithm based approach. 2695-2702
  
• Mike Preuss, Günter Rudolph, Feelly Tumakaka:
  Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection. 2703-2710
  
• Robert G. Reynolds, Mostafa Z. Ali:
  Exploring knowledge and population swarms via an agent-based Cultural Algorithms Simulation Toolkit (CAT). 2711-2718
  

Evolutionary Computation for Power Engineering Applications - Part II

• Hongda Liu, Zhongli Ma:
  Optimization of warship degaussing decision based on poly-population particle swarm algorithm. 2719-2724
  
• Nand Kishor, Madhusudan Singh, A. S. Raghuvanshi:
  Particle swarm optimization based neural-network model for hydro power plant dynamics. 2725-2731
  
• B. V. Babu, Ashish M. Gujarathi:
  Multi-objective differential evolution (MODE) for optimization of supply chain planning and management. 2732-2739
  
• Nuo Xu, Minxing Huang, Fushuan Wen, Zhaoyang Dong:
  Optimal parameter setting of performance based regulation with reward and penalty. 2740-2744
  
• Gang Lu, Fushuan Wen, Chi-yung Chung, K. P. Wong:
  Conditional Value-at-Risk based mid-term generation operation planning in electricity market environment. 2745-2750
  
• Nand Kishor, Madhusudan Singh, A. S. Raghuvanshi:
  Genetic programming approach for model structure determination of hydro turbine in closed loop operation. 2751-2757
  

Memetic Algorithms - Part II

• Jing Tang, Meng-Hiot Lim, Yew-Soon Ong, L. Q. Song:
  Hierarchical model parallel memetic algorithm in heterogeneous computing environment. 2758-2765
  
• X. S. Chen, Meng-Hiot Lim, Donald C. Wunsch:
  A Memetic Algorithm configured via a problem solving environment for the Hamiltonian Cycle problems. 2766-2773
  
• Konstantinos P. Ferentinos, Theodore A. Tsiligiridis:
  A memetic algorithm for dynamic design of wireless sensor Networks. 2774-2781
  
• A. Gandelli, F. Grimaccia, Marco Mussetta, Paola Pirinoli, Riccardo Enrico Zich:
  Development and validation of different hybridization strategies between GA and PSO. 2782-2787
  
• Hisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yusuke Nojima:
  An empirical study on the specification of the local search application probability in multiobjective memetic algorithms. 2788-2795
  
• Kusum Deep, Dipti:
  A new hybrid Self Organizing Migrating Genetic Algorithm for function optimization. 2796-2803
  

Real-World Applications - Part III

• Xiangrong Zhang, Licheng Jiao, Shuiping Gou:
  SVMs ensemble for radar target recognition based on evolutionary feature selection. 2804-2808
  
• Boris Naujoks, Max Steden, Sven-Brian Müller, Jochen Hundemer:
  Evolutionary optimization of ship propulsion systems. 2809-2816