Approach to the distributed job shop scheduling based on multi-agent
Yuxian Zhang, Lei Li, Hong Wang, Zhao Yan-yan, Xu Guo, Meng Chun-hua
Abstract
Yuxian Zhang, Lei Li, Hong Wang, Zhao Yan-yan, Xu Guo, Meng Chun-hua
Abstract
Based on the intelligent and agile characteristics of a multi-agents system and the optimizatical capacity of genetic algorithm, a distributed jobshop scheduling method is presented. A multi-agents based model of distributed scheduling system is established, then a distributed scheduling mechanism integrating multi-agents and GA and dynamic scheduling strategies based on multi-agent negotiation are proposed. Finally, a simulation experiment on solving the distributed dynamic scheduling with the methods is given. Simulation results show that the presented scheduling strategy is feasible and effective.
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Based on the intelligent and agile characteristics of a multi-agents system and the optimizatical capacity of genetic algorithm, a distributed jobshop scheduling method is presented. A multi-agents based model of distributed scheduling system is established, then a distributed scheduling mechanism integrating multi-agents and GA and dynamic scheduling strategies based on multi-agent negotiation are proposed. Finally, a simulation experiment on solving the distributed dynamic scheduling with the methods is given. Simulation results show that the presented scheduling strategy is feasible and effective.
Key concepts: Computer science, Dynamic priority scheduling, Distributed computing, Fair-share scheduling, Two-level scheduling, Flow shop scheduling, Rate-monotonic scheduling, Round-robin scheduling