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Game theory using genetic algorithms
Conference proceeding

Game theory using genetic algorithms

I. A. Ismail, N. A. El-Ramly, M. M. El-Kafrawy, M. M. Nasef and Int Assoc Engineers
WORLD CONGRESS ON ENGINEERING 2007, VOLS 1 AND 2, Vol.1, pp.61-64
Lecture Notes in Engineering and Computer Science
01/01/2007

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Hardware & Architecture Engineering Engineering, Biomedical Engineering, Electrical & Electronic Engineering, Multidisciplinary Science & Technology Technology
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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