DocumentCode :
2740772
Title :
Genetic Algorithm With Species And Sexual Selection
Author :
Raghuwanshi, M.M. ; Kakde, O.G.
Author_Institution :
RCERT, Chandrapur
fYear :
2006
fDate :
7-9 June 2006
Firstpage :
1
Lastpage :
8
Abstract :
In this paper we have proposed new real coded genetic algorithm with species and sexual selection (GAS3). GAS3 is a distributed quasi steady-state real-coded genetic algorithm. GAS3 uses sex determination method (SDM) to determine the sex (male or female) of members in population. Each female member is considered as a niche in population and the species formation take place around these niches. Sexual selection strategy selects female and required number of male members from species to perform the recombination operation. The parent-centric recombination operators are used to generate offspring. If species is not performing well, then the merging of species to the nearby species takes place. Performance of GAS3 is tested on unimodal and multi-modal test functions. It got success in solving wide range of problems. Its performance is also compared with other real-coded genetic algorithm and evolutionary strategies
Keywords :
distributed algorithms; genetic algorithms; chromosome differentiation; clustering; distributed quasisteady-state real-coded genetic algorithm; parent-centric recombination operators; sex determination method; sexual selection; species selection; Biological cells; Convergence; Evolution (biology); Genetic algorithms; Genetic mutations; Merging; Polynomials; Probability distribution; Steady-state; Testing; Clustering; chromosome differentiation; distributed genetic algorithm; niche and species; parent-centric crossover operators; real-coded genetic algorithms; sexual selection scheme;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2006 IEEE Conference on
Conference_Location :
Bangkok
Print_ISBN :
1-4244-0023-6
Type :
conf
DOI :
10.1109/ICCIS.2006.252229
Filename :
4017788
Link To Document :
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