Hybrid Flow-shop Scheduling Problem Based on Saving Energy

被引：3

作者：

Liu Xiang ^{[1
]}

Zou Fengxing ^{[1
]}

Zhang Xiangping ^{[1
]}

Gao Zheng ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Mechatron Engn & Automat, Changsha 410073, Hunan, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 7 | 2008年

关键词：

Hybrid Flow-shop; Scheduling; Saving Energy; Genetic Algorithm; Memetic;

D O I：

10.1109/CHICC.2008.4605161

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the mixed-integer nonlinear programming model is established for hybrid flow-shop scheduling problem (HFSP), with the minimum of energy consumption as the objective function. Aiming at the characteristic of this problem and the shortcomings of simple genetic algorithm, a hybrid genetic algorithm (Memetic) is presented. To validate the preciseness of the model and the availability of the method, the simulating experimentation is done on the three-two-three HFSP, and the result indicates that the scheduling algorithm can reduce the energy consumption in the process of production.

引用

页码：48 / 53

页数：6

共 7 条

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