Journal of Automation and Information Sciences
Published 12 issues per year
ISSN Print: 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
Volume 35,
Issue 12, 2003,
9 pages
DOI: 10.1615/JAutomatInfScien.v35.i12.70
ABSTRACT
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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