Hot Rolling Batch Planning Based on Particle Swarm Optimization Algorithm

被引：0

作者：

Pan, Li ^{[1
]}

Yu, Shengping ^{[1
]}

Li, Jie ^{[1
]}

Zheng, Binglin ^{[1
]}

Chai, Tianyou ^{[1
]}

机构：

[1] Northeastern Univ, Minist Educ, Key Lab Proc Ind Automat, Shenyang, Peoples R China

来源：

2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3 | 2010年

关键词：

hot rolling; batch planning; particle swarm optimization Algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A multi-objective 0-1 integer programming model is established in order to solve the complex problem of hot rolling batch planning which is considered as vehicle routing problem. To solve the complex multi-constrained, multi-objective hot rolling batch planning model, a method is proposed which is based on swarm optimization algorithm. The algorithm is tested by online data. Results show that the proposed algorithm can quickly workout the optimal hot rolling batch planning, and can lay the firm groundwork for application to production process in the future.

引用

页码：880 / 883

页数：4

共 7 条

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