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Research on Hybrid-Genetic Algorithm for MAS Based Job-Shop Dynamic Scheduling

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2 Author(s)
Qingsong Li ; Coll. of Traffic & Auto-mobile Eng., Xihua Univ., Chengdu, China ; Liming Du

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.

Published in:

Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on  (Volume:1 )

Date of Conference:

10-11 Oct. 2009