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作者:

Bao, Tianci (Bao, Tianci.) | Yan, Hairong (Yan, Hairong.)

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EI Scopus

摘要:

Aiming at the flexible job shop scheduling problem in machine tool manufacturing plants, an improved genetic algorithm based on directed variation is proposed. Based on the real-time production situation, the algorithm generates the probability distribution of processing equipment selection, and then carries out directed variation operation according to the probability, thus improving the optimization ability of the algorithm. In addition, the method of antibody self-elimination is used in species selection to enhance the diversity of the population. © 2023 IEEE.

关键词:

Scheduling algorithms Probability distributions Job shop scheduling Machine tools Production control Genetic algorithms

作者机构:

  • [ 1 ] [Bao, Tianci]Beijing University of Technology, Faculty of Information Technology, Beijing, China
  • [ 2 ] [Yan, Hairong]Beijing University of Technology, Faculty of Information Technology, Beijing, China

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年份: 2023

页码: 910-915

语种: 英文

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