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Research of Multi-resource Dynamic Job-Shop Scheduling Based on the Hybrid Genetic Algorithm

Zhao Peng, Huang Ting-lei

Open publisher page 6 citations

Abstract

Based on the workshop production scheduling, single resource scheduling is formerly researched, but actually multi-resources scheduling is often applied. Aiming at the workshop production resource scheduling, a maxed genetic algorithm to solve the problem of the single resource dynamic Job-Shop scheduling is used and implement workshop multi-resource dynamic Job-Shop scheduling. The Job-Shop multi-resources scheduling is realized by this method and gotten good results by example simulation.

About this research paper

What this paper is about

Based on the workshop production scheduling, single resource scheduling is formerly researched, but actually multi-resources scheduling is often applied. Aiming at the workshop production resource scheduling, a maxed genetic algorithm to solve the problem of the single resource dynamic Job-Shop scheduling is used and implement workshop multi-resource dynamic Job-Shop scheduling. The Job-Shop multi-resources scheduling is realized by this method and gotten good results by example simulation.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Based on the workshop production scheduling, single resource scheduling is formerly researched, but actually multi-resources scheduling is often applied. Aiming at the workshop production resource scheduling, a maxed genetic algorithm to solve the problem of the single resource dynamic Job-Shop scheduling is used and implement workshop multi-resource dynamic Job-Shop scheduling. The Job-Shop multi-resources scheduling is realized by this method and gotten good results by example simulation.

Key concepts: Dynamic priority scheduling, Genetic algorithm scheduling, Flow shop scheduling, Fair-share scheduling, Rate-monotonic scheduling, Computer science, Two-level scheduling, Job shop scheduling

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