Hybrid Particle Swarm Optimization for Solving Resource Constrained FMS Scheduling

摘要：

Resource constrained FMS scheduling problem is typical non-polynomial (NP) problem. In this paper, an approach for resource constrained FMS scheduling was described, which integrated particle swarm optimization (PSO) and simulated annealing (SA) algorithm. The constraints of FMS scheduling problem are given by the following inequalities.

作者: Dongyun Wang Jinhuan Chen

作者单位: Zhongyuan University of Technology, Zhengzhou, Henan, P. R. C., Zhongyuan University of Technology, Zhengzhou, Henan, P. R. C

会议类型: 国际会议

会议名称: 第二届生物计算：理论及应用国际会议(The Second International Conference on Bio-Inspired Computing: Theories and Applications)

会议地点: 郑州

会议语种:英文

页码: 302-302

在线出版日期: 2007-09-14（万方平台首次上网日期，不代表论文的发表时间）