Cellular Automata Variation Particle Swarm Optimization algorithm For Batch Scheduling
The article in order to solve Panel Furniture business of mass customizations batch scheduling, by analyzing production processes, the article proposes parallel machine serial-batching scheduling, in reaction to the problems of flexible production lines batch scheduling. The design is an adaptive Cellular Automat variation Particle Swarm optimization algorithm, which, when used for the single objective test, is better than the current records (For comparison, 30% of the probability finds the optimal solution, using parallel machine scheduling with standard 30 set of data).
Mass Customization (MC) Batch production scheduling Particle Swarm Optimization cellular automaton
Zeng Min Long Qiao-yun Liu Qiong-mei
School of Computer and ommunication, Hunan University of Technology, Zhuzhou, Hunan, 412008, China
国际会议
三亚
英文
193-196
2012-01-06(万方平台首次上网日期,不代表论文的发表时间)