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Hybrid Particle Swarm Optimization Algorithm for Process Planning

Author

Listed:
  • Xu Zhang

    (Business School, Sichuan University, Chengdu 610064, China)

  • Pan Guo

    (Business School, Sichuan University, Chengdu 610064, China)

  • Hua Zhang

    (School of Economics and Management, Zhaoqing University, Zhaoqing 526061, China)

  • Jin Yao

    (School of Mechanical Engineering, Sichuan University, Chengdu 610064, China)

Abstract

Process planning is a typical combinatorial optimization problem. When the scale of the problem increases, combinatorial explosion occurs, which makes it difficult for traditional precise algorithms to solve the problem. A hybrid particle swarm optimization (HPSO) algorithm is proposed in this paper to solve problems of process planning. A hierarchical coding method including operation layer, machine layer and logic layer is designed in this algorithm. Each layer of coding corresponds to the decision of a sub-problem of process planning. Several genetic operators of the genetic algorithm are designed to replace the update formula of particle position and velocity in the particle swarm optimization algorithm. The results of the benchmark example in case study show that the algorithm proposed in this paper has better performance.

Suggested Citation

  • Xu Zhang & Pan Guo & Hua Zhang & Jin Yao, 2020. "Hybrid Particle Swarm Optimization Algorithm for Process Planning," Mathematics, MDPI, vol. 8(10), pages 1-22, October.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:10:p:1745-:d:426239
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    References listed on IDEAS

    as
    1. Marinakis, Yannis & Migdalas, Athanasios & Sifaleras, Angelo, 2017. "A hybrid Particle Swarm Optimization – Variable Neighborhood Search algorithm for Constrained Shortest Path problems," European Journal of Operational Research, Elsevier, vol. 261(3), pages 819-834.
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    Cited by:

    1. Alireza Falahiazar & Arash Sharifi & Vahid Seydi, 2022. "An efficient spread-based evolutionary algorithm for solving dynamic multi-objective optimization problems," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 794-849, August.

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