中南大学学报（自然科学版）2012，Vol.43Issue(1)：151-158,8.
基于目标级联法和粒子群算法的柔性分布式车间调度
Planning and scheduling of multiple flexible-shops based on analytical target cascading and particle swarm optimization
摘要
Abstract
Because the traditional scheduling model of single job-shop can not meet the requirements of distributed scheduling systems of multiple job-shops, a planning and scheduling model of multiple job-shops based on analytical target cascading and particle swarm optimization was established, where the planning layer was responsible for distributing jobs to each workshop, and the workshop scheduling layer was responsible for planning job operations in each workshop. Take a two job-shop system as an illustrated example to verify the proposed model. The results show that distributed scheduling problems of multiple flexible-shops can be solved effectively, and jobs can be distributed to the workshops rationally, and meanwhile job schedule in each workshop is realized.关键词
目标级联法/分布式车间计划与调度/粒子群算法Key words
analytical target cascading/ multiple shops planning and scheduling/ particle swarm optimization分类
机械制造引用本文复制引用
黄英杰,姚锡凡..基于目标级联法和粒子群算法的柔性分布式车间调度[J].中南大学学报（自然科学版）,2012,43(1):151-158,8.基金项目
国家高技术研究发展计划(“863”计划)项目(2007AA042111) （“863”计划）
国家自然科学基金资助项目(51175187) （51175187）
