会议专题

Research on Hybrid-genetic Algorithm for MAS based Job-shop Dynamic Scheduling

Aimed at the job-shop dynamic scheduling for agile manufacturing,genetic algorithms and heuristic rules are combined;a job-shop dynamic scheduling model based on multi-agent and the hybrid-genetic algorithm is proposed.The allocation of the tasks and coordination have been solved by multi-agent consultations based on contract net protocol, then the tasks have been rescheduled by hybrid-genetic algorithm in order to achieve global optimization. Finally, the feasibility and effectiveness of this method is confirmed by simulation.

job-shop scheduling dynamic scheduling multiagent system hybrid-genetic algorithm

Qingsong LI Liming DU

College of Traffic & Auto-mobile Eng.Xihua University ChengDu City,Sichuan Province, P.R China

国际会议

2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

长沙

英文

404-407

2009-10-10(万方平台首次上网日期,不代表论文的发表时间)