Abstract is missing.
- Evolutionary Optimization in Spatio-temporal Fitness LandscapesHendrik Richter. 1-10 [doi]
- Cumulative Step Length Adaptation on Ridge FunctionsDirk V. Arnold. 11-20 [doi]
- General Lower Bounds for Evolutionary AlgorithmsOlivier Teytaud, Sylvain Gelly. 21-31 [doi]
- On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of IsotropyOlivier Teytaud, Sylvain Gelly, Jérémie Mary. 32-41 [doi]
- Mixed-Integer NK LandscapesRui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber. 42-51 [doi]
- How Comma Selection Helps with the Escape from Local OptimaJens Jägersküpper, Tobias Storch. 52-61 [doi]
- When Do Heavy-Tail Distributions Help?Nikolaus Hansen, Fabian Gemperle, Anne Auger, Petros Koumoutsakos. 62-71 [doi]
- Self-adaptation on the Ridge Function Class: First Results for the Sharp RidgeHans-Georg Beyer, Silja Meyer-Nieberg. 72-81 [doi]
- Searching for Balance: Understanding Self-adaptation on Ridge FunctionsMonte Lunacek, L. Darrell Whitley. 82-91 [doi]
- Diversity Loss in General Estimation of Distribution AlgorithmsJonathan L. Shapiro. 92-101 [doi]
- Information Perspective of OptimizationYossi Borenstein, Riccardo Poli. 102-111 [doi]
- A Novel Negative Selection Algorithm with an Array of Partial Matching Lengths for Each DetectorWenjian Luo, Xin Wang, Ying Tan, Xufa Wang. 112-121 [doi]
- Hierarchical BOA, Cluster Exact Approximation, and Ising Spin GlassesMartin Pelikan, Alexander K. Hartmann, Kumara Sastry. 122-131 [doi]
- Towards an Adaptive Multimeme Algorithm for Parameter Optimisation Suiting the Engineers NeedsWilfried Jakob. 132-141 [doi]
- Niche Radius Adaptation in the CMA-ES Niching AlgorithmOfer M. Shir, Thomas Bäck. 142-151 [doi]
- A Tabu Search Evolutionary Algorithm for Solving Constraint Satisfaction ProblemsBart G. W. Craenen, Ben Paechter. 152-161 [doi]
- ::::c::::AS: Ant Colony Optimization with Cunning AntsShigeyoshi Tsutsui. 162-171 [doi]
- Genetic Algorithm Based on Independent Component Analysis for Global OptimizationGang Li, Kin-Hong Lee, Kwong-Sak Leung. 172-181 [doi]
- Improved Squeaky Wheel Optimisation for Driver SchedulingUwe Aickelin, Edmund K. Burke, Jingpeng Li. 182-191 [doi]
- A Local Genetic Algorithm for Binary-Coded ProblemsCarlos García-Martínez, Manuel Lozano, Daniel Molina. 192-201 [doi]
- Hill Climbers and Mutational Heuristics in HyperheuristicsEnder Özcan, Burak Bilgin, Emin Erkan Korkmaz. 202-211 [doi]
- A Multi-level Memetic/Exact Hybrid Algorithm for the Still Life ProblemJosé E. Gallardo, Carlos Cotta, Antonio J. Fernández. 212-221 [doi]
- Transmission Loss Reduction Based on FACTS and Bacteria Foraging AlgorithmM. Tripathy, Sukumar Mishra, L. L. Lai, Q. P. Zhang. 222-231 [doi]
- Substructural Neighborhoods for Local Search in the Bayesian Optimization AlgorithmCláudio F. Lima, Martin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg, Fernando G. Lobo. 232-241 [doi]
- Theory and Practice of Cellular UMDA for Discrete OptimizationEnrique Alba Torres, Julio Madera, Bernabé Dorronsoro Díaz, Alberto Ochoa, Marta Soto. 242-251 [doi]
- A Memetic Approach to Golomb RulersCarlos Cotta, Iván Dotú, Antonio J. Fernández, Pascal Van Hentenryck. 252-261 [doi]
- Some Notes on (Mem)Brane ComputationNadia Busi, Miguel A. Gutiérrez-Naranjo. 262-271 [doi]
- Evolutionary Local Search for Designing Peer-to-Peer Overlay Topologies Based on Minimum Routing Cost Spanning TreesPeter Merz, Steffen Wolf. 272-281 [doi]
- Nature-Inspired Algorithms for the Optimization of Optical Reference SignalsSancho Salcedo-Sanz, José Sáez Landete, Manuel Rosa-Zurera. 282-291 [doi]
- Optimum Design of Surface Acoustic Wave Filters Based on the Taguchi s Quality Engineering with a Memetic AlgorithmKiyoharu Tagawa, Mikiyasu Matsuoka. 292-301 [doi]
- Genetic Algorithm for Burst Detection and Activity Tracking in Event StreamsLourdes Araujo, José A. Cuesta, Juan J. Merelo Guervós. 302-311 [doi]
- Computationally Intelligent Online Dynamic Vehicle Routing by Explicit Load Prediction in an Evolutionary AlgorithmPeter A. N. Bosman, Han La Poutré. 312-321 [doi]
- Novel Approach to Develop Rheological Structure-Property Relationships Using Genetic ProgrammingElsa Jordaan, Jaap den Doelder, Guido Smits. 322-331 [doi]
- An Evolutionary Approach to the Inference of Phylogenetic NetworksJuan Diego Trujillo, Carlos Cotta. 332-341 [doi]
- An Evolutive Approach for the Delineation of Local Labour MarketsFrancisco Flórez-Revuelta, José Manuel Casado-Díaz, Lucas Martínez-Bernabeu. 342-351 [doi]
- Direct Manipulation of Free Form Deformation in Evolutionary Design OptimisationStefan Menzel, Markus Olhofer, Bernhard Sendhoff. 352-361 [doi]
- An Evolutionary Approach to Shimming Undulator Magnets for Synchrotron Radiation SourcesOlga Rudenko, Oleg Chubar. 362-371 [doi]
- New EAX Crossover for Large TSP InstancesYuichi Nagata. 372-381 [doi]
- Functional Brain Imaging with Multi-objective Multi-modal Evolutionary OptimizationVojtech Krmicek, Michèle Sebag. 382-391 [doi]
- A New Neural Network Based Construction Heuristic for the Examination Timetabling ProblemPatrick H. Corr, Barry McCollum, M. A. J. McGreevy, P. J. P. McMullan. 392-401 [doi]
- Optimisation of CDMA-Based Mobile Telephone Networks: Algorithmic Studies on Real-World NetworksPaul Weal, David W. Corne, Chris Murphy. 402-412 [doi]
- Evolving Novel and Effective Treatment Plans in the Context of Infection Dynamics Models: Illustrated with HIV and HAART TherapyRebecca Haines, David W. Corne. 413-422 [doi]
- Automatic Test Pattern Generation with BOATiziana Gravagnoli, Fabrizio Ferrandi, Pier Luca Lanzi, Donatella Sciuto. 423-432 [doi]
- Multiobjective Genetic Programming for Natural Language Parsing and TaggingLourdes Araujo. 433-442 [doi]
- Modelling the Population Distribution in Multi-objective Optimization by Generative Topographic MappingAimin Zhou, Qingfu Zhang, Yaochu Jin, Bernhard Sendhoff, Edward P. K. Tsang. 443-452 [doi]
- Multiobjective Optimization of Ensembles of Multilayer Perceptrons for Pattern ClassificationPedro A. Castillo Valdivieso, Maribel García Arenas, Juan J. Merelo Guervós, Víctor Manuel Rivas Santos, Gustavo Romero. 453-462 [doi]
- Multi-Objective Equivalent Random SearchEvan J. Hughes. 463-472 [doi]
- Compressed-Objective Genetic AlgorithmKuntinee Maneeratana, Kittipong Boonlong, Nachol Chaiyaratana. 473-482 [doi]
- A New Proposal for Multiobjecive Optimization Using Particle Swarm Optimization and Rough Sets TheoryLuis V. Santana-Quintero, Noel Ramírez-Santiago, Carlos A. Coello Coello, Julián Molina Luque, Alfredo García Hernández-Díaz. 483-492 [doi]
- Incorporation of Scalarizing Fitness Functions into Evolutionary Multiobjective Optimization AlgorithmsHisao Ishibuchi, Tsutomu Doi, Yusuke Nojima. 493-502 [doi]
- Solving Multi-objective Optimisation Problems Using the Potential Pareto Regions Evolutionary AlgorithmNasreddine Hallam, Graham Kendall, Peter Blanchfield. 503-512 [doi]
- Pareto Set and EMOA Behavior for Simple Multimodal Multiobjective FunctionsMike Preuss, Boris Naujoks, Günter Rudolph. 513-522 [doi]
- About Selecting the Personal Best in Multi-Objective Particle Swarm OptimizationJürgen Branke, Sanaz Mostaghim. 523-532 [doi]
- Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective OptimizationDimo Brockhoff, Eckart Zitzler. 533-542 [doi]
- Solving Hard Multiobjective Optimization Problems Using ::::epsilon::::-Constraint with Cultured Differential EvolutionRicardo Landa Becerra, Carlos A. Coello Coello. 543-552 [doi]
- A Fast and Effective Method for Pruning of Non-dominated Solutions in Many-Objective ProblemsSaku Kukkonen, Kalyanmoy Deb. 553-562 [doi]
- Multi-level Ranking for Constrained Multi-objective Evolutionary OptimisationPhilip Hingston, Luigi Barone, Simon Huband, R. Lyndon While. 563-572 [doi]
- Module Identification from Heterogeneous Biological Data Using Multiobjective Evolutionary AlgorithmsMichael Calonder, Stefan Bleuler, Eckart Zitzler. 573-582 [doi]
- A Multiobjective Differential Evolution Based on Decomposition for Multiobjective Optimization with Variable LinkagesHui Li, Qingfu Zhang. 583-592 [doi]
- Digital Images Enhancement with Use of Evolving Neural NetworksYuri Tsoy, Vladimir Spitsyn. 593-602 [doi]
- Environments Conducive to Evolution of ModularityVineet R. Khare, Bernhard Sendhoff, Xin Yao. 603-612 [doi]
- Arms Races and Car RacesJulian Togelius, Simon M. Lucas. 613-622 [doi]
- BeeHiveAIS: A Simple, Efficient, Scalable and Secure Routing Framework Inspired by Artificial Immune SystemsHorst Wedde, Constantin Timm, Muddassar Farooq. 623-632 [doi]
- Critical Temperatures for Intermittent Search in Self-Organizing Neural NetworksPeter Tino. 633-640 [doi]
- Robust Simulation of Lamprey TrackingMatthew Beauregard, Paul J. Kennedy. 641-650 [doi]
- Evolutionary Behavior Acquisition for Humanoid RobotsDeniz Aydemir, Hitoshi Iba. 651-660 [doi]
- Modelling Group-Foraging Behaviour with Particle SwarmsCecilia Di Chio, Riccardo Poli, Paolo Di Chio. 661-670 [doi]
- Neuroevolution with Analog Genetic EncodingPeter Dürr, Claudio Mattiussi, Dario Floreano. 671-680 [doi]
- A Two-Level Clustering Method Using Linear Linkage EncodingEmin Erkan Korkmaz. 681-690 [doi]
- A New Swarm Intelligence Coordination Model Inspired by Collective Prey Retrieval and Its Application to Image AlignmentGiovanni Da San Martino, Franco Alberto Cardillo, Antonina Starita. 691-700 [doi]
- Exploring the Effect of Proximity and Kinship on Mutual Cooperation in the Iterated Prisoner s DilemmaColin Frayn, Andy Pryke, Siang Yew Chong. 701-710 [doi]
- Investigating the Emergence of Multicellularity Using a Population of Neural Network AgentsEhud Schlessinger, Peter J. Bentley, R. Beau Lotto. 711-720 [doi]
- Building of 3D Environment Models for Mobile Robotics Using Self-organizationJan Koutník, Roman Mázl, Miroslav Kulich. 721-730 [doi]
- January: A Parallel Algorithm for Bug Hunting Based on Insect BehaviorPeter Lamborn, Michael Jones. 731-740 [doi]
- A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent ProblemsR. Paul Wiegand, Mitchell A. Potter, Donald Sofge, William M. Spears. 741-750 [doi]
- Probabilistic Adaptive Mapping Developmental Genetic Programming (PAM DGP): A New Developmental ApproachGarnett Carl Wilson, Malcolm I. Heywood. 751-760 [doi]
- A Distance-Based Information Preservation Tree Crossover for the Maximum Parsimony ProblemAdrien Goëffon, Jean-Michel Richer, Jin-Kao Hao. 761-770 [doi]
- Solving SAT and HPP with Accepting Splicing SystemsRemco Loos, Carlos Martín-Vide, Victor Mitrana. 771-777 [doi]
- Some Steps Towards Understanding How Neutrality Affects Evolutionary SearchEdgar Galván López, Riccardo Poli. 778-787 [doi]
- Performance of Evolutionary Algorithms on Random Decomposable ProblemsMartin Pelikan, Kumara Sastry, Martin V. Butz, David E. Goldberg. 788-797 [doi]
- Evolving Binary Decision Diagrams with Emergent Variable OrderingsRichard M. Downing. 798-807 [doi]
- Life History Evolution of Virtual Plants: Trading Off Between Growth and ReproductionStefan Bornhofen, Claude Lattaud. 808-817 [doi]
- Finding State-of-the-Art Non-cryptographic Hashes with Genetic ProgrammingCésar Estébanez, Julio César Hernández Castro, Arturo Ribagorda, Pedro Isasi Viñuela. 818-827 [doi]
- Offspring Generation Method Using Delaunay Triangulation for Real-Coded Genetic AlgorithmsHisashi Shimosaka, Tomoyuki Hiroyasu, Mitsunori Miki. 828-838 [doi]
- An Investigation of Representations and Operators for Evolutionary Data Clustering with a Variable Number of ClustersJulia Handl, Joshua D. Knowles. 839-849 [doi]
- Lamar: A New Pseudorandom Number Generator Evolved by Means of Genetic ProgrammingCarlos Lamenca-Martinez, Julio César Hernández Castro, Juan M. Estévez-Tapiador, Arturo Ribagorda. 850-859 [doi]
- Evolving Bin Packing Heuristics with Genetic ProgrammingEdmund K. Burke, Matthew R. Hyde, Graham Kendall. 860-869 [doi]
- The Importance of Neutral Mutations in GPEdgar Galván López, Katya Rodríguez-Vázquez. 870-879 [doi]
- New Order-Based Crossovers for the Graph Coloring ProblemChristine L. Mumford. 880-889 [doi]
- Assortative Mating Drastically Alters the Magnitude of Error ThresholdsGabriela Ochoa, Klaus Jaffe. 890-899 [doi]
- Is Self-adaptation of Selection Pressure and Population Size Possible? - A Case StudyA. E. Eiben, Martijn C. Schut, A. R. de Wilde. 900-909 [doi]
- A Particle Swarm Optimizer for Constrained Numerical OptimizationLeticia C. Cagnina, Susana C. Esquivel, Carlos A. Coello Coello. 910-919 [doi]
- Self-regulated Population Size in Evolutionary AlgorithmsCarlos Fernandes, Agostinho C. Rosa. 920-929 [doi]
- Starting from Scratch: Growing Longest Common Subsequences with EvolutionBryant A. Julstrom, Brenda Hinkemeyer. 930-938 [doi]
- Local Meta-models for Optimization Using Evolution StrategiesStefan Kern, Nikolaus Hansen, Petros Koumoutsakos. 939-948 [doi]
- Effects of Using Two Neighborhood Structures in Cellular Genetic Algorithms for Function OptimizationHisao Ishibuchi, Tsutomu Doi, Yusuke Nojima. 949-958 [doi]
- A Selecto-recombinative Genetic Algorithm with Continuous Chromosome ReconfigurationJirí Kubalík, Petr Posík, Jan Herold. 959-968 [doi]
- Exploiting Expert Knowledge in Genetic Programming for Genome-Wide Genetic AnalysisJason H. Moore, Bill C. White. 969-977 [doi]
- Speeding Up Evolutionary Algorithms Through Restricted Mutation OperatorsBenjamin Doerr, Nils Hebbinghaus, Frank Neumann. 978-987 [doi]
- Comparing the Niches of CMA-ES, CHC and Pattern Search Using Diverse BenchmarksL. Darrell Whitley, Monte Lunacek, Artem Sokolov. 988-997 [doi]
- Model Complexity vs. Performance in the Bayesian Optimization AlgorithmElon S. Correa, Jonathan L. Shapiro. 998-1007 [doi]
- Genetic Programming for Kernel-Based Learning with Co-evolving Subsets SelectionChristian Gagné, Marc Schoenauer, Michèle Sebag, Marco Tomassini. 1008-1017 [doi]
- Product Geometric CrossoverAlberto Moraglio, Riccardo Poli. 1018-1027 [doi]
- Exploration and Exploitation Bias of Crossover and Path Relinking for Permutation ProblemsDirk Thierens. 1028-1037 [doi]
- Geometric Crossover for Sets, Multisets and PartitionsAlberto Moraglio, Riccardo Poli. 1038-1047 [doi]
- Ordinal Regression in Evolutionary ComputationThomas Philip Runarsson. 1048-1057 [doi]