自动化与信息科学期刊
每年出版 12 期
ISSN 打印: 1064-2315
ISSN 在线: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Analysis of Variables and Parameters of Genetic Algorithms for Production Process Planning
卷 36,
册 2, 2004,
pp. 51-56
DOI: 10.1615/JAutomatInfScien.v36.i2.50
摘要
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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