Lawrence Bull
Evolutionary computing in multi-agent environments: Speciation and symbiogenesis
Bull, Lawrence; Bull, Larry; Fogarty, Terence C.
Authors
Lawrence Bull Larry.Bull@uwe.ac.uk
School Director (Research & Enterprise) and Professor
Terence C. Fogarty
Contributors
Hans-Michael Voigt
Editor
Werner Ebeling
Editor
Ingo Rechenberg
Editor
Hans-Paul Schwefel
Editor
Abstract
© 1996, Springer-Verlag. All rights reserved. In this paper we introduce two macro-level operators to enhance the use of population-based evolutionary computing techniques in multiagent environments: speciation and symbiogenesis. We describe their use in conjunction with the genetic algorithm to evolve Pittsburgh-style classifier systems, where each classifier system represents an agent in a cooperative multi-agent system. The reasons for implementing these kinds of operators are discussed and we then examine their performance in developing a controller for the gait of a wall-climbing quadrupedal robot, where each leg of the quadruped is controlled by a classifier system. We find that the use of such operators can give improved performance over static population/agent configurations.
Citation
Bull, L., Bull, L., & Fogarty, T. C. (1996). Evolutionary computing in multi-agent environments: Speciation and symbiogenesis. Lecture Notes in Artificial Intelligence, 1141, 12-21. https://doi.org/10.1007/3-540-61723-X_965
Presentation Conference Type | Conference Paper (published) |
---|---|
Publication Date | Jan 1, 1996 |
Journal | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Print ISSN | 0302-9743 |
Electronic ISSN | 1611-3349 |
Publisher | Springer Verlag |
Peer Reviewed | Not Peer Reviewed |
Volume | 1141 |
Pages | 12-21 |
Series Title | Lecture Notes in Computer Science |
Series Number | 1141 |
ISBN | ; |
DOI | https://doi.org/10.1007/3-540-61723-X_965 |
Keywords | computation by abstract devices, processor architectures, algorithm analysis and problem complexity, artificial intelligence, computer applications in life sciences |
Public URL | https://uwe-repository.worktribe.com/output/1105291 |
Publisher URL | http://dx.doi.org/10.1007/3-540-61723-X_965 |
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