Abstract is missing.
- On the Quality Gain of (1, lambda)-ES Under Fitness NoiseHans-Georg Beyer, Silja Meyer-Nieberg. 1-10 [doi]
- Fitness Distributions and GA HardnessYossi Borenstein, Riccardo Poli. 11-20 [doi]
- Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial OptimizationPatrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener. 21-30 [doi]
- The Ising Model: Simple Evolutionary Algorithms as Adaptation SchemesPatrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener. 31-40 [doi]
- Evolutionary Algorithms with On-the-Fly Population Size AdjustmentA. E. Eiben, Elena Marchiori, V. A. Valkó. 41-50 [doi]
- Search Space Features Underlying the Performance of Stochastic Local Search Algorithms for MAX-SATHolger H. Hoos, Kevin Smyth, Thomas Stützle. 51-60 [doi]
- Bridging the Gap Between Theory and PracticeThomas Jansen, R. Paul Wiegand. 61-71 [doi]
- A Reduced Markov Model of GAs Without the Exact Transition MatrixCheah C. J. Moey, Jonathan E. Rowe. 72-80 [doi]
- Expected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree ProblemFrank Neumann. 81-90 [doi]
- On the Importance of Information Speed in Structured PopulationsMike Preuss, Christian Lasarczyk. 91-100 [doi]
- Estimating the Number of Solutions for SAT ProblemsColin R. Reeves, Mériéma Aupetit-Bélaidouni. 101-110 [doi]
- Behavior of Evolutionary Algorithms in Chaotically Changing Fitness LandscapesHendrik Richter. 111-120 [doi]
- Expected Rates of Building Block Discovery, Retention and Combination Under 1-Point and Uniform CrossoverCameron Skinner, Patricia J. Riddle. 121-130 [doi]
- An Analysis of the Effectiveness of Multi-parent CrossoverChuan-Kang Ting. 131-140 [doi]
- On the Use of a Non-redundant Encoding for Learning Bayesian Networks from Data with a GASteven van Dijk, Dirk Thierens. 141-150 [doi]
- Phase Transition Properties of Clustered Travelling Salesman Problem Instances Generated with Evolutionary ComputationJano I. van Hemert, Neil Urquhart. 151-160 [doi]
- A Simple Two-Module Problem to Exemplify Building-Block Assembly Under CrossoverRichard A. Watson. 161-171 [doi]
- Statistical Racing Techniques for Improved Empirical Evaluation of Evolutionary AlgorithmsBo Yuan, Marcus Gallagher. 172-181 [doi]
- LS-CMA-ES: A Second-Order Algorithm for Covariance Matrix AdaptationAnne Auger, Marc Schoenauer, Nicolas Vanhaecke. 182-191 [doi]
- Learning Probabilistic Tree Grammars for Genetic ProgrammingPeter A. N. Bosman, Edwin D. de Jong. 192-201 [doi]
- Sequential Sampling in Noisy EnvironmentsJürgen Branke, Christian Schmidt 0002. 202-211 [doi]
- Evolutionary Continuous Optimization by Distribution Estimation with Variational Bayesian Independent Component Analyzers Mixture ModelDong-Yeon Cho, Byoung-Tak Zhang. 212-221 [doi]
- Spread of Vector Borne Diseases in a Population with Spatial StructureDominique Chu, Jonathan E. Rowe. 222-231 [doi]
- Hierarchical Genetic AlgorithmsEdwin D. de Jong, Dirk Thierens, Richard A. Watson. 232-241 [doi]
- Migration of Probability Models Instead of Individuals: An Alternative When Applying the Island Model to EDAsLuis de la Ossa, José A. Gámez, Jose Miguel Puerta. 242-252 [doi]
- Comparison of Steady-State and Generational Evolution Strategies for Parallel ArchitecturesRazvan Enache, Bernhard Sendhoff, Markus Olhofer, Martina Hasenjäger. 253-262 [doi]
- Control of Bloat in Genetic Programming by Means of the Island ModelFrancisco Fernández de Vega, Germán Galeano Gil, Juan Antonio Gómez Pulido, Jose Luis Guisado. 263-271 [doi]
- Saving Resources with Plagues in Genetic AlgorithmsFrancisco Fernández de Vega, Erick Cantú-Paz, J. I. López, T. Manzano. 272-281 [doi]
- Evaluating the CMA Evolution Strategy on Multimodal Test FunctionsNikolaus Hansen, Stefan Kern. 282-291 [doi]
- Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GASteven Orla Kimbrough, Ming Lu, David Harlan Wood. 292-301 [doi]
- An Evolutionary Algorithm for the Maximum Weight Trace Formulation of the Multiple Sequence Alignment ProblemGabriele Koller, Günther R. Raidl. 302-311 [doi]
- A Novel Programmable Molecular Computing Method Based on Signaling Pathways Regulated by Rho-GTPases in Living MDCK Epithelial Mammalian CellsJian-qin Liu, Katsunori Shimohara. 312-321 [doi]
- Empirical Investigations on Parallelized Linkage IdentificationMasaharu Munetomo, Naoya Murao, Kiyoshi Akama. 322-331 [doi]
- The EAX Algorithm Considering Diversity LossYuichi Nagata. 332-341 [doi]
- Topology-Oriented Design of Analog Circuits Based on Evolutionary Graph GenerationMasanori Natsui, Naofumi Homma, Takafumi Aoki, Tatsuo Higuchi. 342-351 [doi]
- A Mixed Bayesian Optimization Algorithm with Variance AdaptationJiri Ocenasek, Stefan Kern, Nikolaus Hansen, Petros Koumoutsakos. 352-361 [doi]
- A Swarm Intelligence Based VLSI Multiplication-and-Add SchemeDanilo Pani, Luigi Raffo. 362-371 [doi]
- Distribution Tree-Building Real-Valued Evolutionary AlgorithmPetr Posik. 372-381 [doi]
- Optimization via Parameter Mapping with Genetic ProgrammingJoão Carlos Figueira Pujol, Riccardo Poli. 382-390 [doi]
- Multi-cellular Development: Is There Scalability and Robustness to Gain?Daniel Roggen, Diego Federici. 391-400 [doi]
- Constrained Evolutionary Optimization by Approximate Ranking and Surrogate ModelsThomas Philip Runarsson. 401-410 [doi]
- Robust Parallel Genetic Algorithms with Re-initialisationIvan Sekaj. 411-419 [doi]
- Improving Evolutionary Algorithms with Multi-representation Island ModelsZbigniew Skolicki, Kenneth A. De Jong. 420-429 [doi]
- A Powerful New Encoding for Tree-Based Combinatorial Optimisation ProblemsSang-Moon Soak, David Corne, Byung-Ha Ahn. 430-439 [doi]
- Partially Evaluated Genetic Algorithm Based on Fuzzy c-Means AlgorithmSi-Ho Yoo, Sung-Bae Cho. 440-449 [doi]
- Applications Metaheuristics for the Vehicle Routing Problem with Stochastic DemandsLeonora Bianchi, Mauro Birattari, Marco Chiarandini, Max Manfrin, Monaldo Mastrolilli, Luis Paquete, Olivia Rossi-Doria, Tommaso Schiavinotto. 450-460 [doi]
- AntHocNet: An Ant-Based Hybrid Routing Algorithm for Mobile Ad Hoc NetworksGianni Di Caro, Frederick Ducatelle, Luca Maria Gambardella. 461-470 [doi]
- A Scatter Search Algorithm for the 3D Image Registration ProblemOscar Cordón, Sergio Damas, Jose Santamaría. 471-480 [doi]
- A Hybrid GRASP - Evolutionary Algorithm Approach to Golomb Ruler SearchCarlos Cotta, Antonio J. Fernández. 481-490 [doi]
- Design of an Efficient Search Algorithm for P2P Networks Using Concepts from Natural Immune SystemsNiloy Ganguly, Geoffrey Canright, Andreas Deutsch. 491-500 [doi]
- A Novel Ant Algorithm for Solving the Minimum Broadcast Time ProblemYehudit Hasson, Moshe Sipper. 501-510 [doi]
- Designing Multiple-Use Primer Set for Multiplex PCR by Using Compact GAsYu-Cheng Huang, Han-Yu Chuang, Huai-Kuang Tsai, Chun-Fan Chang, Cheng-Yan Kao. 511-521 [doi]
- Robust Inferential Sensors Based on Ensemble of Predictors Generated by Genetic ProgrammingElsa Jordaan, Arthur K. Kordon, Leo H. Chiang, Guido Smits. 522-531 [doi]
- Searching Transcriptional Modules Using Evolutionary AlgorithmsJe-Gun Joung, Sok June Oh, Byoung-Tak Zhang. 532-540 [doi]
- Evolution of Voronoi-Based Fuzzy ControllersCarlos Kavka, Marc Schoenauer. 541-550 [doi]
- Analyzing Sensor States and Internal States in the Tartarus Problem with Tree State MachinesDaeEun Kim. 551-560 [doi]
- Evolving Genetic Regulatory Networks for Hardware Fault ToleranceArne Koopman, Daniel Roggen. 561-570 [doi]
- Evolving Dynamics in an Artificial Regulatory Network ModelP. Dwight Kuo, André Leier, Wolfgang Banzhaf. 571-580 [doi]
- The Application of Bayesian Optimization and Classifier Systems in Nurse SchedulingJingpeng Li, Uwe Aickelin. 581-590 [doi]
- An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical GalaxiesJin Li, Xin Yao, Colin Frayn, Habib G. Khosroshahi, Somak Raychaudhury. 591-601 [doi]
- Conference Paper Assignment Using a Combined Greedy/Evolutionary AlgorithmJuan J. Merelo Guervós, Pedro A. Castillo Valdivieso. 602-611 [doi]
- A Primer on the Evolution of Equivalence Classes of Bayesian-Network StructuresJorge Muruzábal, Carlos Cotta. 612-621 [doi]
- The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo MatchingGustavo Olague, Francisco Fernández de Vega, Cynthia B. Pérez, Evelyne Lutton. 622-632 [doi]
- Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic AlgorithmsAndrei Petrovski, Bhavani Sudha, John A. W. McCall. 633-641 [doi]
- An Evolutionary Algorithm for Column Generation in Integer Programming: An Effective Approach for 2D Bin PackingJakob Puchinger, Günther R. Raidl. 642-651 [doi]
- An Improved Evaluation Function for the Bandwidth Minimization ProblemEduardo Rodriguez-Tello, Jin-Kao Hao, Jose Torres-Jimenez. 652-661 [doi]
- Coupling of Evolution and Learning to Optimize a Hierarchical Object Recognition ModelGeorg Schneider, Heiko Wersing, Bernhard Sendhoff, Edgar Körner. 662-671 [doi]
- Evolution of Small-World Networks of Automata for ComputationMarco Tomassini, Mario Giacobini, Christian Darabos. 672-681 [doi]
- Recognizing Speed Limit Sign Numbers by Evolvable HardwareJim Torresen, Jorgen W. Bakke, Lukás Sekanina. 682-691 [doi]
- Dynamic Routing Problems with Fruitful Regions: Models and Evolutionary ComputationJano I. van Hemert, Johannes A. La Poutré. 692-701 [doi]
- Optimising the Performance of a Formula One Car Using a Genetic AlgorithmKrzysztof Wloch, Peter J. Bentley. 702-711 [doi]
- An Inexpensive Cognitive Approach for Bi-objective Optimization Using Bliss Points and InteractionHussein A. Abbass. 712-721 [doi]
- Finding Knees in Multi-objective OptimizationJürgen Branke, Kalyanmoy Deb, Henning Dierolf, Matthias Osswald. 722-731 [doi]
- Multi-objective Parallel Tabu SearchDaniel Jaeggi, Chris Asselin-Miller, Geoffrey T. Parks, Timoleon Kipouros, Theo Bell, P. John Clarkson. 732-741 [doi]
- SPEA2+: Improving the Performance of the Strength Pareto Evolutionary Algorithm 2Mifa Kim, Tomoyuki Hiroyasu, Mitsunori Miki, Shinya Watanabe. 742-751 [doi]
- An Extension of Generalized Differential Evolution for Multi-objective Optimization with ConstraintsSaku Kukkonen, Jouni Lampinen. 752-761 [doi]
- Adaptive Weighted Particle Swarm Optimisation for Multi-objective Optimal Design of Alloy SteelsMahdi Mahfouf, Min-You Chen, Derek A. Linkens. 762-771 [doi]
- Multi-objective Optimisation by Co-operative Co-evolutionKuntinee Maneeratana, Kittipong Boonlong, Nachol Chaiyaratana. 772-781 [doi]
- Sequential Process Optimisation Using Genetic AlgorithmsVictor Oduguwa, Ashutosh Tiwari, Rajkumar Roy. 782-791 [doi]
- On Test Functions for Evolutionary Multi-objective OptimizationTatsuya Okabe, Yaochu Jin, Markus Olhofer, Bernhard Sendhoff. 792-802 [doi]
- Multi-objective Optimization of a Composite Material Spring Design Using an Evolutionary AlgorithmFrédéric Ratle, Benoît Lecarpentier, Richard Labib, François Trochu. 803-811 [doi]
- Dominance Based Crossover Operator for Evolutionary Multi-objective AlgorithmsOlga Rudenko, Marc Schoenauer. 812-821 [doi]
- Evolutionary Bi-objective Controlled Elevator Group Regulates Passenger Service Level and Minimises Energy ConsumptionTapio Tyni, Jari Ylinen. 822-831 [doi]
- Indicator-Based Selection in Multiobjective SearchEckart Zitzler, Simon Künzli. 832-842 [doi]
- Intransitivity in CoevolutionEdwin D. de Jong. 843-851 [doi]
- Group Transport of an Object to a Target That Only Some Group Members May SenseRoderich Groß, Marco Dorigo. 852-861 [doi]
- Hawks, Doves and Lifetime Reproductive SuccessPhilip Hingston, Luigi Barone. 862-871 [doi]
- Evolutionary Multi-agent SystemsPieter Jan t Hoen, Edwin D. de Jong. 872-881 [doi]
- Credit Assignment Among Neurons in Co-evolving PopulationsVineet R. Khare, Xin Yao, Bernhard Sendhoff. 882-891 [doi]
- A Visual Demonstration of Convergence Properties of Cooperative CoevolutionLiviu Panait, R. Paul Wiegand, Sean Luke. 892-901 [doi]
- Cooperative Coevolution of Image Feature Construction and Object DetectionMark E. Roberts, Ela Claridge. 902-911 [doi]
- Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary AlgorithmsR. Paul Wiegand, Jayshree Sarma. 912-921 [doi]
- A High Performance Multi-objective Evolutionary Algorithm Based on the Principles of ThermodynamicsXiufen Zou, Minzhong Liu, Lishan Kang, Jun He. 922-931 [doi]
- Robotics and Multi-agent Systems Robustness in the Long Run: Auto-teaching vs Anticipation in Evolutionary RoboticsNicolas Godzik, Marc Schoenauer, Michèle Sebag. 932-941 [doi]
- A Self-adaptive Neural Learning Classifier System with Constructivism for Mobile Robot ControlJacob Hurst, Larry Bull. 942-951 [doi]
- An Approach to Evolutionary Robotics Using a Genetic Algorithm with a Variable Mutation Rate StrategyYoshiaki Katada, Kazuhiro Ohkura, Kanji Ueda. 952-961 [doi]
- Translating the Dances of Honeybees into Resource LocationDaeEun Kim. 962-971 [doi]
- Natural Policy Gradient Reinforcement Learning for a CPG Control of a Biped RobotYutaka Nakamura, Takeshi Mori, Shin Ishii. 972-981 [doi]
- Evaluation of Adaptive Nature Inspired Task Allocation Against Alternate Decentralised Multiagent StrategiesRichard Price, Peter Tiño. 982-990 [doi]
- A Neuroevolutionary Approach to Emergent Task DecompositionJekanthan Thangavelautham, Gabriele M. T. D Eleuterio. 991-1000 [doi]
- Evolving the Feeling of Time Through Sensory-Motor Coordination: A Robot Based ModelElio Tuci, Vito Trianni, Marco Dorigo. 1001-1010 [doi]
- An Artificial Immune System for Fuzzy-Rule Induction in Data MiningRoberto Teixeira Alves, Myriam Regattieri Delgado, Heitor S. Lopes, Alex Alves Freitas. 1011-1020 [doi]
- Speeding-Up Pittsburgh Learning Classifier Systems: Modeling Time and AccuracyJaume Bacardit, David E. Goldberg, Martin V. Butz, Xavier Llorà, Josep Maria Garrell i Guiu. 1021-1031 [doi]
- A Simple Payoff-Based Learning Classifier SystemLarry Bull. 1032-1041 [doi]
- Lookahead and Latent Learning in a Simple Accuracy-Based Classifier SystemLarry Bull. 1042-1050 [doi]
- Knowledge Extraction and Problem Structure Identification in XCSMartin V. Butz, Pier Luca Lanzi, Xavier Llorà, David E. Goldberg. 1051-1060 [doi]
- Forecasting Time Series by Means of Evolutionary AlgorithmsCristóbal Luque del Arco-Calderón, Pedro Isasi Viñuela, Julio César Hernández Castro. 1061-1070 [doi]
- Detecting and Pruning Introns for Faster Decision Tree EvolutionJeroen Eggermont, Joost N. Kok, Walter A. Kosters. 1071-1080 [doi]
- Evolutionary Multiobjective ClusteringJulia Handl, Joshua D. Knowles. 1081-1091 [doi]
- Web Page Classification with an Ant Colony AlgorithmNicholas Holden, Alex Alves Freitas. 1092-1102 [doi]
- Oneiric Processing Utilising the Anticipatory Classifier SystemJulian C. Holley, Anthony G. Pipe, Brian Carse. 1103-1112 [doi]
- Self-organizing Neural Grove: Efficient Multiple Classifier System Using Pruned Self-generating Neural TreesHirotaka Inoue, Hiroyuki Narihisa. 1113-1122 [doi]
- Evolutionary Multiobjective Knowledge Extraction for High-Dimensional Pattern Classification ProblemsHisao Ishibuchi, Satoshi Namba. 1123-1132 [doi]
- Ensemble Learning with Evolutionary Computation: Application to Feature RankingKees Jong, Elena Marchiori, Michèle Sebag. 1133-1142 [doi]
- Fast Unsupervised Clustering with Artificial AntsNicolas Labroche, Christiane Guinot, Gilles Venturini. 1143-1152 [doi]
- A Novel Method of Searching the Microarray Data for the Best Gene Subsets by Using a Genetic AlgorithmBin Ni, Juan Liu. 1153-1162 [doi]
- Using Genetic Programming for Feature Creation with a Genetic Algorithm Feature SelectorMatthew G. Smith, Larry Bull. 1163-1171 [doi]
- AgentP Model: Learning Classifier System with Associative PerceptionZhanna V. Zatuchna. 1172-1182 [doi]