An efficient hybrid particle swarm optimization for the Job Shop scheduling problem

Xue Feng Zhang, Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

5 被引用数 (Scopus)

抄録

This paper proposes a hybrid particle swarm optimization algorithm for solving Job Shop Scheduling Problems (JSSP) to minimize the maximum makespan. A new hybrid heuristic, based on Particle Swarm Optimization (PSO), Tabu Search (TS) and Simulated Annealing (SA), is presented. PSO combines local search (by self-experience) with global search (by neighboring experience), achieving a high search efficiency. TS uses a memory function to avoid being trapped at a local minimum, and has emerged as an effective algorithmic approach for the JSSP. This method can also be referred to as calculation of the horizontal direction. SA employs certain probability to avoid becoming trapped in a local optimum and the search process can be controlled by the cooling schedule (also known as calculation of vertical direction). By reasonably combining these three different search algorithms, we develop a robust, fast and simply implemented hybrid optimization algorithm HPTS (Hybrid of Particle swarm optimization, Tabu search and Simulated annealing). This hybrid algorithm is applied to the standard benchmark sets and compared with other approaches. The experimental results show that the proposed algorithm could obtain the high-quality solutions within relatively short computation time. For 6 of 43 instances, new upper bounds among the unsolved problems are found in a short time in HPTS.

本文言語英語
ホスト出版物のタイトルFUZZ 2011 - 2011 IEEE International Conference on Fuzzy Systems - Proceedings
ページ622-626
ページ数5
DOI
出版ステータス出版済み - 9 27 2011
イベント2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011 - Taipei, 台湾省、中華民国
継続期間: 6 27 20116 30 2011

出版物シリーズ

名前IEEE International Conference on Fuzzy Systems
ISSN(印刷版)1098-7584

その他

その他2011 IEEE International Conference on Fuzzy Systems, FUZZ 2011
Country台湾省、中華民国
CityTaipei
Period6/27/116/30/11

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Artificial Intelligence
  • Applied Mathematics

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