Genetic Algorithms Used to Solve Scheduling Problems

被引：3
|
作者：
N. N. Glibovets
S. A. Medvid'
机构：
[1] University,“Kyiv
来源：
Cybernetics and Systems Analysis | 2003年 / 39卷 / 1期
关键词：
genetic algorithm; evolutionary calculus; reproduction conditions; mutation of chromosomes; selection of chromosomes; optimization problem;
D O I：
10.1023/A:1023825226796
中图分类号：
学科分类号：
摘要：
A general description of genetic algorithms is given. An optimal scheduling problem is examined from the viewpoint of real needs of a modern university. A solution, based on a genetic algorithm, is proposed for the problem. The genetic algorithm implementations are reviewed and their convergence rate and quality are analyzed.
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页码：81 / 90
页数：9
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