2008Unpublished venueRequires access

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

Open publisher page 10 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Computer science, Dynamic priority scheduling, Distributed computing, Fair-share scheduling, Two-level scheduling, Flow shop scheduling, Rate-monotonic scheduling, Round-robin scheduling

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