Game theory using genetic algorithms

Faculty Not Specified Year: 2007
Type of Publication: InProcceding Pages:
Authors:
Ismail, I. A, El-Ramly, N. A, El-Kafrawy, M. M, Nasef, M. M
Journal: INT ASSOC ENGINEERS-IAENG Volume:
Research Area: Computer Science; Engineering ISSN ISI:000250382600011
Keywords : game theory, genetic algorithm, and optimal strategy    
Abstract:
In this paper we used genetic algorithms to find the solution of game theory. We proposed new method foe solving game theory and find the optimal strategy for player A or player B. We can benefit from the relationship between game theory and the linear programming to find the fitness function and tested this fitness function at different examples.
    
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