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Titolo:
An endosymbiotic evolutionary algorithm for optimization
Autore:
Kim, JY; Kim, Y; Kim, YK;
Indirizzi:
Chonnam Natl Univ, Dept Ind Engn, Kwangju 500757, South Korea Chonnam NatlUniv Kwangju South Korea 500757 Kwangju 500757, South Korea Seoul Natl Univ, Dept Ind Engn, Seoul 151742, South Korea Seoul Natl UnivSeoul South Korea 151742 Engn, Seoul 151742, South Korea
Titolo Testata:
APPLIED INTELLIGENCE
fascicolo: 2, volume: 15, anno: 2001,
pagine: 117 - 130
SICI:
0924-669X(2001)15:2<117:AEEAFO>2.0.ZU;2-R
Fonte:
ISI
Lingua:
ENG
Keywords:
coevolutionary algorithm; endosymbiosis; optimization; localized coevolution;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
19
Recensione:
Indirizzi per estratti:
Indirizzo: Kim, JY Chonnam Natl Univ, Dept Ind Engn, Kwangju 500757, South Korea Chonnam Natl Univ Kwangju South Korea 500757 500757, South Korea
Citazione:
J.Y. Kim et al., "An endosymbiotic evolutionary algorithm for optimization", APPL INTELL, 15(2), 2001, pp. 117-130

Abstract

This paper proposes a new symbiotic evolutionary algorithm to solve complex optimization problems. This algorithm imitates the natural evolution process of endosymbionts, which is called endosymbiotic evolutionary algorithm. Existing symbiotic algorithms take the strategy that the evolution of symbionts is separated from the host. In the natural world, prokaryotic cells that are originally independent organisms are combined into an eukaryotic cell. The basic idea of the proposed algorithm is the incorporation of the evolution of the eukaryotic cells into the existing symbiotic algorithms. In the proposed algorithm, the formation and evolution of the endosymbionts isbased on fitness, as it can increase the adaptability of the individuals and the search efficiency. In addition, a localized coevolutionary strategy is employed to maintain the population diversity. Experimental results demonstrate that the proposed algorithm is a promising approach to solving complex problems that are composed of multiple sub- problems interrelated with each other.

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Documento generato il 29/03/20 alle ore 17:08:12