Computational study on scheduling problem using genetic algorithm

被引：0

作者：

Juan, Nelly ^{[1
]}

Marin, Sary ^{[2
]}

Iranzo, Alexis ^{[3
]}

机构：

[1] Univ Catolica Norte, Dept Math, Antofagasta, Chile

[2] Univ Valparaiso, Dept Stat, Valparaiso, Chile

[3] Univ Talca, Dept Math, Talca, Chile

来源：

BULLETIN OF COMPUTATIONAL APPLIED MATHEMATICS | 2019年 / 7卷 / 01期

关键词：

Scheduling problem; Genetic algorithm; computation; optimization;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A scheduling problem consists of series of production stages, each of which has several machines operating in parallel. Some stages may have only one machine, but at least one stage must have multiple machines. Each job is processed by one machine in each stage and it must go through one or more stages.

引用

页码：9 / 14

页数：6

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