A Bi-criteria Optimization Model and Algorithm for Scheduling in a Real-world Flow Shop with Setup Times

摘要：

The bi-criteria scheduling problem optimization model in a real-life flow shop with setup times was built, while the similarity of jobs were considered. The case study differs from the conventional scheduling problems. A modified genetic local search algorithm to minimize makespan and maximum tardiness was proposed. Two new neighborhood structures based on the problem-concerned knowledge were defined, and were used in the local search procedure to improve efficiency of optimization. The performance of this algorithm was compared with two multi-objective genetic local search algorithms proposed in the literature, and the simulation experiment shows that the scheduling model and proposed algorithm are relatively effective.

作者: Kaibing Yang Xiaobing Liu

作者单位: CIMS Center, Dalian University of Technology, Dalian, 116024 China Information School, Dalian Polyte CIMS Center, Dalian University of Technology, Dalian, 116024 China

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 535-539

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）