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dc.contributor.authorJohnson, Rodney W.
dc.contributor.authorMelich, Michael E.
dc.contributor.authorMichalewicz, Zbigniew
dc.contributor.authorSchmidt, Martin
dc.date.accessioned2014-01-29T20:59:10Z
dc.date.available2014-01-29T20:59:10Z
dc.date.issued2005
dc.identifier.citationIEEE Transactions on Evolutionary Computation, 2005
dc.identifier.urihttps://hdl.handle.net/10945/38495
dc.description.abstractWe 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.en_US
dc.publisherIEEEen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleCoevolutionary optimization of fuzzy logic intelligence for strategic decision supporten_US
dc.typeArticleen_US
dc.contributor.corporateNaval Postgraduate School
dc.contributor.departmentWayne E. Meyer Institute of Systems Engineering


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