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Journal of Automation and Information Sciences

Publication de 12  numéros par an

ISSN Imprimer: 1064-2315

ISSN En ligne: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Analysis of Variables and Parameters of Genetic Algorithms for Production Process Planning

Volume 36, Numéro 2, 2004, pp. 51-56
DOI: 10.1615/JAutomatInfScien.v36.i2.50
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RÉSUMÉ

The influence of main parameters and variables of genetic algorithms on efficient solution of optimization problem is considered. The data on adaptive organization of parameter selection are presented. Experimental efficiency estimates of genetic algorithms applied to problems of production process planning are considered.

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