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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

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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
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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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