Archive-based cooperative coevolutionary algorithms

Archive-based cooperative coevolutionary algorithms attempt to retain a set of individuals which act as good collaborators for other coevolved individuals in the evolutionary system. We introduce a new archive-based algorithm, called iCCEA, which compares favorably with other cooperative coevolutionary algorithms. We explain the current problems with cooperative coevolution which have given rise to archive methods, detail the iCCEA algorithm, compare it against other traditional and archive-based methods on basic problem domains, and discuss the reasons behind the performance of various algorithms. Categories and Subject Descriptors I.2.11 [Distributed Artificial Intelligence]: Multiagent Systems General Terms Experimentation Keywords Cooperative Coevolution, Archive-based Coevolution

• Type: Conference
• Year: 2006
• Where: GECCO
• Authors: Liviu Panait, Sean Luke, Joseph F. Harrison
• Keywords: Archive-based Coevolution, Cooperative Coevolutionary Algorithms, GECCO 2006, Keywords Cooperative Coevolution, Optimization