Yannakakis, G. and Levine, J.M. and Hallam, J. (2005) Evolutionary computation variants for cooperative spatial coordination. In: Proceedings of the 2005 IEEE Congress on Evolutionary Computation. IEEE press, pp. 2715-2722. ISBN 0-7803-9363-5
Full text not available in this repository. (Request a copy from the Strathclyde author)Abstract
This paper presents a comparative study between genetic and probabilistic search approaches of evolutionary computation. They are both applied for optimizing the behavior of multiple neural-controlled homogeneous agents whose spatial coordination tasks can only be successfully achieved through emergent cooperation. Both approaches demonstrate effective solutions of high performance; however, the genetic search approach appears to be both more robust and computationally preferred for this multi-agent case study.
| Item type: | Book Section |
|---|---|
| ID code: | 8574 |
| Keywords: | evolutionary computation, genetic algorithms, multi-agent systems, search problems, Electronic computers. Computer science |
| Subjects: | Science > Mathematics > Electronic computers. Computer science |
| Department: | Faculty of Science > Computer and Information Sciences |
| Related URLs: | |
| Depositing user: | Strathprints Administrator |
| Date Deposited: | 30 Sep 2009 15:12 |
| Last modified: | 12 Mar 2012 10:49 |
| URI: | http://strathprints.strath.ac.uk/id/eprint/8574 |
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