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

机译:基于MAS的Job-shop动态调度的混合遗传算法研究。

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摘要

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.
机译:针对敏捷制造作业车间动态调度,将遗传算法和启发式规则相结合;提出了一种基于多Agent和混合遗传算法的作业车间动态调度模型。通过基于合同网协议的多代理协商解决,然后使用混合遗传算法对任务进行重新调度,以实现全局优化。最后通过仿真验证了该方法的可行性和有效性。

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