Application of genetic algorithm to the technological operations scheduling problem

被引：0

作者：

Lujic, R. ^{[1
]}

Saric, T. ^{[1
]}

Simunovic, G. ^{[1
]}

机构：

[1] Univ Osijek, Dept Mech Engn, Slavonski Brod, Croatia

来源：

METALURGIJA | 2008年 / 47卷 / 02期

关键词：

artificial intelligence; genetic algorithms; manufacturing; scheduling;

D O I：

暂无

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

The basic enterprise task is to satisfy customer requirements: due date, price and quality. Based on experiences from engineers practice of work in Croatian enterprises it could be concluded that enterprises are not able to fulfil obligations to the customer in a way of due dates. One of the basic reasons lies in inappropriate scheduling model that has not had possibility to make plan variants. The paper shows how genetic algorithm could be successfully applied in scheduling model to solve the problem of plan variant. AS a basic selection in the paper 3-tournament steady-state selection has been applied.

引用

页码：103 / 107

页数：5

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