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- W2354659898 abstract "To solve complicated scheduling problem of flexible manufacturing system(FMS), a multi-agent-based scheduling system is proposed, whose object is to minimize makespan. Firstly, the scheduling system produces initial solution via contract protocol by job agents and machine agents. And then the solution is used by all machine agents to find local optima. Finally, global agent participate in further optimization, through which, the system could get better solution than general method. When designing optimization modules, Tabu search(TS) and particle swarm optimization(PSO) are introduced as algorithm for machine agents and global agent. To improve optimization effect, TS is modified to double tabu search(DTS). There are two tabu lists in DTS, and with which DTS could get diversified search results, which are more fit to be initial swarm of PSO for global agent. By solving ten typical flexible job shop problems, the scheduling system proposed is better than genetic and tabu search in known conference." @default.
- W2354659898 created "2016-06-24" @default.
- W2354659898 creator A5000156014 @default.
- W2354659898 date "2014-01-01" @default.
- W2354659898 modified "2023-09-26" @default.
- W2354659898 title "Particle swarm optimization combined with tabu search in multi-agent scheduling for FMS" @default.
- W2354659898 hasPublicationYear "2014" @default.
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