Research on an approach of the distributed jobshop scheduling basing on multi-agent
Qinghua Zhou, Yuxian Zhang, Ping Yang
Abstract
Qinghua Zhou, Yuxian Zhang, Ping Yang
Abstract
Based on the intelligent and agile characteristics of a multi-agents system and the optimization 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 optimization 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, Distributed computing, Dynamic priority scheduling, Fair-share scheduling, Two-level scheduling, Round-robin scheduling, Scheduling (production processes), Rate-monotonic scheduling