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Affiliation of Author(s):机电学院

Journal:Zhongguo Jixie Gongcheng

Abstract: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 No.:1004-132X

Translation or Not:no

Date of Publication:2018-11-25

Co-author:Zhu Haihua,Zhang, Zequn,Jin, Yongqiao,Wang, Yingcong,tdb

Correspondence Author:cmh