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article · 2015

A Novel Assembly Line Balancing Optimization Algorithm based on PSOSA

Xiaomei Hu, Yubin Wang, Yangyang Zhang, Xinran Shi

Cited by 1Open access

Abstract

Assembly line is widely used in manufacturing system and assembly line balancing problem directly affects the productivity of the whole manufacturing system. In the actual situation of assembly process, optimizing a certain goal in the process of actual assembly individually may cause the neglect of relevance of balance goals, so a dual-objective optimization model is proposed. Although there are many ways to solve the assembly line balancing problem, most of them have a slow convergence speed and poor optimize result. A PSOSA hybrid optimization algorithm is put forward to improve the solution quality. The Metropolis criterion of SA algorithm is integrated into PSO algorithm to overcome the precocious phenomenon of PSO and long optimization time of SA. So the PSOSA hybrid optimization algorithm has the advantages of PSO and SA algorithm. The simulation results show the feasibility and effectiveness of the assembly line balancing optimization algorithm based on PSOSA algorithm.

Cite this paper

APA 7

Hu, X., Wang, Y., Zhang, Y., & Shi, X. (2015). A Novel Assembly Line Balancing Optimization Algorithm based on PSOSA. https://doi.org/10.2991/iccmcee-15.2015.39

MLA 9

Hu, Xiaomei, et al. “A Novel Assembly Line Balancing Optimization Algorithm based on PSOSA.” 2015, https://doi.org/10.2991/iccmcee-15.2015.39.

Chicago

Hu, Xiaomei, Yubin Wang, Yangyang Zhang, and Xinran Shi. 2015. “A Novel Assembly Line Balancing Optimization Algorithm based on PSOSA.” https://doi.org/10.2991/iccmcee-15.2015.39.

Harvard

Hu, X. et al. (2015) ‘A Novel Assembly Line Balancing Optimization Algorithm based on PSOSA’. Available at: https://doi.org/10.2991/iccmcee-15.2015.39.

BibTeX
@article{hu2015novel,
  title = {{A Novel Assembly Line Balancing Optimization Algorithm based on PSOSA}},
  author = {Hu, Xiaomei and Wang, Yubin and Zhang, Yangyang and Shi, Xinran},
  year = {2015},
  doi = {10.2991/iccmcee-15.2015.39}
}

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