Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/16762
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Type: | Journal article |
Title: | Coevolutionary optimization of fuzzy logic intelligence for strategic decision support |
Author: | Johnson, R. Milech, M. Michalewicz, Z. Schmidt, M. |
Citation: | IEEE Transactions on Evolutionary Computation, 2005; 9(6):682-694 |
Publisher: | IEEE-Inst Electrical Electronics Engineers Inc |
Issue Date: | 2005 |
ISSN: | 1089-778X |
Statement of Responsibility: | Rodney W. Johnson, Michael E. Melich, Zbigniew Michalewicz, and Martin Schmidt |
Abstract: | We present a description and initial results of a computer code that coevolves fuzzy logic rules to play a two-sided zero-sum competitive game. It is based on the TEMPO Military Planning Game that has been used to teach resource allocation to over 20 000 students over the past 40 years. No feasible algorithm for optimal play is known. The coevolved rules, when pitted against human players, usually win the first few competitions. For reasons not yet understood, the evolved rules (found in a symmetrical competition) place little value on information concerning the play of the opponent. |
Keywords: | Coevolution fuzzy rules games resource allocation strategic decisions |
Description: | ©2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
DOI: | 10.1109/TEVC.2005.856208 |
Published version: | http://dx.doi.org/10.1109/tevc.2005.856208 |
Appears in Collections: | Aurora harvest 2 Computer Science publications |
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