Geodesic
Bioinspired search at the solution
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

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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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/

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