Research on manufacturing grid resource scheduling based on genetic algorithm

Chuanshun Zhang, Rong Mo, Shengyou Shi, Zhiyong Chang, Zefeng Chen

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

To resolve resource scheduling problem efficiently in manufacturing grid, a multi-objective optimization mathematical model was put forward, which was based on task time, machining quality, cost and service quality. Based on the model, combined with object weight, a genetic algorithm for manufacturing grid resources scheduling process was designed. At the same time, relative fitness which was based on influence degree coefficient was designed to reduce objects' non-standardization error. At last, the results of a scheduling case prove the algorithm's validity.

Original languageEnglish
Pages (from-to)1916-1920
Number of pages5
JournalZhongguo Jixie Gongcheng/China Mechanical Engineering
Volume17
Issue number18
StatePublished - 25 Sep 2006

Keywords

  • Genetic algorithm
  • Influence degree coefficient
  • Manufacturing grid
  • Multi-objective optimization
  • Resource scheduling

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