现代制造工程Issue(11)：25-28,4.
采用量子粒子群算法的一类模糊作业车间调度问题的研究
Quantum particle swarm optimization for one of the fuzzy job shop scheduling problems
摘要
Abstract
Studies on one of the job shop scheduling problems with fuzzy processing time and fuzzy due date,and proposes Quantum Particle Swarm Optimization(QPSO)to solve this problem,which has good convergence 8peed and performance in searching global optimum.Use a practical analyses to confirm the performance of the method.The experimental results of QPSO on this problem show the efficiency of the new algorithm.关键词
模糊作业车间调度问题/模糊加工时间/模糊交货期/量子粒子群算法/优化Key words
Fuzzy Job Shop Scheduling Problem(FJSSP)/fuzzy processing time/fuzzy due date/Quantum Particle Swarm Optimization(QPSO)/optimization分类
信息技术与安全科学引用本文复制引用
黄天赦,叶春明..采用量子粒子群算法的一类模糊作业车间调度问题的研究[J].现代制造工程,2009,(11):25-28,4.基金项目
上海市重点学科建设资助项目(S30504) （S30504）
