Prisoner's Dilemma: John Von Neumann, Game Theory and the Puzzle of the Bomb
Prisoner's Dilemma: John Von Neumann, Game Theory and the Puzzle of the Bomb
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Game theory as a new paradigm for phenotype characterization of genetic algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Cheating for problem solving: a genetic algorithm with social interactions
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
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This work has the purpose to present a new hybrid metaheuristic developed based on three fundamentals pillars extremely well known: Genetic Algorithms, Game Theory and Fuzzy Systems. This new approach tries to mimic a little bit more closer how a population of individuals evolves along time, like human social evolution emphasizing the social interaction between individuals and the non-binary behavior of human decision making against the classical cooperate-defect behavior present in the Prisoner's Dilemma. In this way it is also presented the SIGA Algorithm [9], the approach of an individual more complex with a genotype composed of two chromosomes, one for the solution of the problem and the other representing its strategy, a binary or fuzzy. Finally some results are presented to an instance of the Traveling Salesman Problem.