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所属单位：机电学院

发表刊物：Zhongguo Jixie Gongcheng

摘要：Aiming at the disadvantages of traditional multi-Agent methods based on contractual network protocol,such as single target optimization,large communication volumes,and poor global performance optimization,a multi-Agent dynamic scheduling strategy was proposed based on pheromone.The strategy achieved indirect negotiation between Agents by pheromone,reduced traffic and realied global multi-objective optimization.In addition,the task allocation stages and buffer job selection stages were optimized at the same time.The independent setup time was taken into account,which was more practical and further improved the overall system optimization effectiveness.Finally,an example simulation was used to verifiy the efficiency of the strategy. © 2018, China Mechanical Engineering Magazine Office. All right reserved.

ISSN号：1004-132X

是否译文：否

发表时间：2018-11-25

合写作者：朱海华,Zhang, Zequn,Jin, Yongqiao,Wang, Yingcong,唐敦兵

通讯作者：陈明和