Journal of Automation and Information Sciences
Erscheint 12 Ausgaben pro Jahr
ISSN Druckformat: 1064-2315
ISSN Online: 2163-9337
SJR:
0.173
SNIP:
0.588
CiteScore™::
2
Indexed in
Designing of the Main Operations of Genetic Algorithms for Production Scheduling
Volumen 35,
Ausgabe 12, 2003,
9 pages
DOI: 10.1615/JAutomatInfScien.v35.i12.70
ABSTRAKT
Designing of operations of genetic algorithms for solving optimization problems of production process scheduling is considered. Effective methods of representation of problems with the object of further use of genetic algorithms methods of searching optimal solutions, as well as the methods of correction of solution for obtaining admissible plans are given. The object-oriented approach to software implementation of the genetic algorithm is shown.
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Index, Volume 52, 2020