Abstract | ||
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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. |
Year | DOI | Venue |
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2010 | 10.1145/1830761.1830888 | GECCO (Companion) |
Keywords | Field | DocType |
individuals evolves,social interaction genetic algorithm,non-binary behavior,new hybrid metaheuristic,classical cooperate-defect behavior present,fuzzy systems,human social evolution,social interaction,new approach,human decision,game theory,genetic algorithms,traveling salesman problem,fuzzy system,genetic algorithm,it strategy,prisoner s dilemma,social evolution | Population,Mathematical optimization,Social evolution,Computer science,Fuzzy logic,Travelling salesman problem,Artificial intelligence,Game theory,Fuzzy control system,Genetic algorithm,Machine learning,Metaheuristic | Conference |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Otávio Noura Teixeira | 1 | 11 | 7.99 |
Felipe Houat de Brito | 2 | 5 | 2.74 |
Walter Avelino da Luz Lobato | 3 | 0 | 0.68 |
Artur Noura Teixeira | 4 | 5 | 2.40 |
Carlos Takeshi Kudo Yasojima | 5 | 0 | 1.01 |
Roberto Célio Limão de Oliveira | 6 | 14 | 11.61 |