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协同PSO算法在Job-Shop调度中的应用
引用本文:常建娥,张磊. 协同PSO算法在Job-Shop调度中的应用[J]. 机械工程师, 2010, 0(5): 56-58
作者姓名:常建娥  张磊
作者单位:武汉理工大学机电工程学院,武汉,430070
摘    要:提出一种解决车间调度作业的有效改进型粒子群算法,该算法可以有效地避开标准粒子群算法局部搜索能力较差、搜索精度不够高、容易陷入局部极小解等缺点,并通过实例验证了该算法的有效性与可行性。

关 键 词:作业车间调度  协同  粒子群算法

Study on Cooperative Particle Swarm Optimization for Job Shop Scheduling Problems
CHANG Jian-e,ZHANG Lei. Study on Cooperative Particle Swarm Optimization for Job Shop Scheduling Problems[J]. Mechanical Engineer, 2010, 0(5): 56-58
Authors:CHANG Jian-e  ZHANG Lei
Affiliation:(School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China)
Abstract:An effective improved particle swarm algorithm (PSO) for solving job-shop scheduling algorithm, which can effectively avoid those disad'fantages of particle swarm algorithm like low searching ability in part, poor searching precision and easily to fall into local minimum solution and so on, and proved by an example verified the validity and feasibility of the algorithm.
Keywords:job-shop scheduling  cooperative  particle swarm algorithm
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