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Research on hybrid-genetic algorithm for MAS based job-shop dynamic scheduling

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3 Author(s)
Li Qingsong ; Coll. of Auto-mobile & trans. Eng, Xihua Univ., Chengdu ; Dan Qu ; Du Liming

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 effectiveness of this method is confirmed by simulation.

Published in:

Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on  (Volume:2 )

Date of Conference:

12-15 Oct. 2008