|Table of Contents|

[1] Zhou Binghai, Lu Yubin,. Improved PSO for integrating dynamic cell formationand layout problems [J]. Journal of Southeast University (English Edition), 2017, 33 (4): 409-415. [doi:10.3969/j.issn.1003-7985.2017.04.004]

Improved PSO for integrating dynamic cell formationand layout problems()

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

2017 4
Research Field:
Mechanical Engineering
Publishing date:


Improved PSO for integrating dynamic cell formationand layout problems
Zhou Binghai Lu Yubin
School of Mechanical Engineering, Tongji University, Shanghai 201804, China
dynamic cellular manufacturing system cell formation and layout communication learning strategy dynamic multi-swarm particle swarm optimization algorithm
To decrease the impact of shorter product life cycles, dynamic cell formation problems(CFPs)and cell layout problems(CLPs)were simultaneously optimized. First, CFPs and CLPs were formally described. Due to the changes of product demands and the limit of machine capacity, the existing layout needed to be rearranged to a high degree. Secondly, a mathematical model was established for the objective function of minimizing the total costs. Thirdly, a novel dynamic multi-swarm particle swarm optimization(DMS-PSO)algorithm based on the communication learning strategy(CLS)was developed. To avoid falling into local optimum and slow convergence, each swarm shared their optimal locations before regrouping. Finally, simulation experiments were conducted under different conditions. Numerical results indicate that the proposed algorithm has better stability and it converges faster than other existing algorithms.


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Biography: Zhou Binghai(1965—), male, doctor, professor, bhzhou@tongji.edu.cn
Foundation item: The National Natural Science Foundation of China(No.71471135).
Citation: Zhou Binghai, Lu Yubin. Improved PSO for integrating dynamic cell formation and layout problems[J].Journal of Southeast University(English Edition), 2017, 33(4):409-415.DOI:10.3969/j.issn.1003-7985.2017.04.004.
Last Update: 2017-12-20