摘要
针对作业车间动态调度问题进行了分析和建模,应用多微粒群协同优化理论,提出了一种制造业作业车间动态调度优化算法,通过基于Matlab的模拟与仿真,验证了本算法的有效性和高效性。
This paper studies analyzing and modeling for the dynamic scheduling problems of job-shop.Based on the multiple co-evolution particle swarm optimization theory,a manufacturing job-shop production dynamic scheduling optimization algorithm is proposed in this paper.Through the analogue and simulation based on Matlab,the availability and efficiency are demonstrated.
出处
《电脑编程技巧与维护》
2011年第22期114-115,140,共3页
Computer Programming Skills & Maintenance
关键词
作业车间
微粒群优化
协同
动态调度
Job-shop
Particle Swarm Optimization
Co-evolution
Dynamic Scheduling
