Bioinspired search at the solution

E. V. Kuliev; D. Y. Zaporozhets; A. M. Ksalov; A. Y. Kudaev; A. A. Kokov; M. M. Oshkhunov

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Bioinspired search at the solution

E. V. Kuliev ; D. Y. Zaporozhets ; A. M. Ksalov ; A. Y. Kudaev ; A. A. Kokov ; M. M. Oshkhunov

News of the Kabardin-Balkar scientific center of RAS, no. 6 (2014), pp. 58-65

Voir la notice de l'article provenant de la source Math-Net.Ru

Résumé

The paper suggests an integrated search scheme which allows to improve the solutions at each stage of the process of accommodation. Technology is proposed for constructing genetic operators adapted to the problem of locating components of VLSI. Bioinspired search based on the sequential operation of genetic and swarm algorithms is studied. Experimental studies showing that the time complexity of the developed approach does not go beyond polynomial dependence are conducted.

Keywords: swarm algorithm, genetic algorithm, evolutionary algorithm
Mots-clés : adaptation, population.

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     author = {E. V. Kuliev and D. Y. Zaporozhets and A. M. Ksalov and A. Y. Kudaev and A. A. Kokov and M. M. Oshkhunov},
     title = {Bioinspired search at the solution},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {58--65},
     publisher = {mathdoc},
     number = {6},
     year = {2014},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2014_6_a7/}
}

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E. V. Kuliev; D. Y. Zaporozhets; A. M. Ksalov; A. Y. Kudaev; A. A. Kokov; M. M. Oshkhunov. Bioinspired search at the solution. News of the Kabardin-Balkar scientific center of RAS, no. 6 (2014), pp. 58-65. http://geodesic.mathdoc.fr/item/IZKAB_2014_6_a7/