期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 37, 期 2, 页码 1065-1070出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2009.06.041
关键词
Job-shop scheduling; Particle swarm optimization; Multiple objectives
类别
资金
- National Science Council of Taiwan [NSC-96-2221-E-216-052MY3]
Most previous research into the job-shop scheduling problem has concentrated on finding a single optimal Solution (e g.. makespan), even though the actual requirement of most production systems requires multi-objective optimization file aim of this paper is to construct a particle swarm optimization (PSO) for an elaborate multi-objective job-shop scheduling problem The original PSO was used to solve continuous optimization problems. Due to the discrete solution spaces of scheduling optimization problems, the authors modified the particle position representation. particle movement, and particle velocity in this Study The modified PSO was used to solve various benchmark problems Test results demonstrated that the modified PSO performed better in search quality and efficiency than traditional evolutionary heuristics. (C) 2009 Elsevier Ltd. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据