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dc.contributor.authorDas, Chandan Bikash
dc.contributor.authorRoy, Sankar Kumar
dc.identifier.issn0972-8791 (Print)
dc.description.abstractIn this paper the entropy function of the matrix game has been considered as one of the objectives and formulate a new game model, named Entropy Matrix Goal Game Model. Non-linear programming model for each player has been established. The equilibrium condition on matrix game is based on expected pay-off, so this equilibrium condition might be violated by mixed strategies when replications are not allowed. To avoid this inconvenience, we have considered G-goal security strategy. The concept of G-goal Security Strategy which assures the property of security against an opponent's deviation in strategy has been introduced. To solve these models, apply fuzzy programming technique through proposed Genetic Algorithm. A numerical example is included to illustrate the results in this paper.en_US
dc.publisherVidyasagar University , Midnapore , West-Bengal , Indiaen_US
dc.relation.ispartofseriesJournal of Physical Science;Vol 13 [2009]
dc.subjectMatrix Gameen_US
dc.subjectG -goal Security Strategyen_US
dc.subjectGenetic Algorithmen_US
dc.titleGenetic Algorithm Approach to Entropy Matrix Goal Game via Fuzzy Programmingen_US
Appears in Collections:Journal of Physical Sciences Vol.13 [2009]

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