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
Indexed in
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
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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