Paper Info
Title
Game theory as a new paradigm for phenotype characterization of genetic algorithms
Abstract
In this paper, it is presented a new way to characterize the phenotype in the context of Genetic Algorithms through the use of Game Theory as a theoretical foundation to define a new phase in the algorithm, named Social Interaction. It is executed before the reproduction phase and allows individuals to fight for their own survival improving their fitness according to the rules of a game. Thereby, a new algorithm is presented and some good results were produced for Traveling Salesman Problem an improvement in Genetic Algorithm execution.
Year
DOI
Venue
2006
10.1145/1143997.1144230
GECCO
Keywords
Field
DocType
genetic algorithms,own survival,genetic algorithm execution,genetic algorithm,reproduction phase,new algorithm,social interaction,salesman problem,new phase,new paradigm,phenotype characterization,game theory,good result,traveling salesman problem
Computer science,Algorithmic game theory,Travelling salesman problem,Game theory,Genetic representation,Artificial intelligence,Cultural algorithm,Machine learning,Genetic algorithm
Conference
ISBN
Citations 
PageRank 
1-59593-186-4
4
0.70
References 
Authors
1
4
Name
Order
Citations
PageRank
Otávio Noura Teixeira1117.99
Artur Noura Teixeira252.40
Felipe Houat de Brito352.74
Roberto Célio Limão de Oliveira41411.61