GENETIC ALGORITHMS WITH A NEW REPAIR OPERATOR FOR ASSEMBLY JOB SHOP SCHEDULING

Authors

  • Fuji Wang 351, School of Mechanical Engineering,Dalian University of Technology,Dalian City,China
  • Zhenyuan Jia 351, School of Mechanical Engineering,Dalian University of Technology,Dalian City,China
  • Wei Liu 351, School of Mechanical Engineering,Dalian University of Technology,Dalian City,China
  • Guokai Zhao 351, School of Mechanical Engineering,Dalian University of Technology,Dalian City,China

DOI:

https://doi.org/10.23055/ijietap.2011.18.7.278

Keywords:

Process Optimization, Intelligent Algorithm

Abstract

Assembly Job-shop Scheduling Problem (AJSP) starts with JSP and then appends an assembly stage for final product. Assembly constraints decouple is the core technique in genetic algorithms for AJSP. However, repair operators for precedent-infeasible chromosomes in AJSP are less investigated in previous literatures. DSM is used to decouple the assembly constraints by A. Yassine et al. (2007), but it results in more diversity loss of populations. In this paper, a new repair operator (EOBOAFT) is proposed to avoid too much diversity loss after repairing the infeasible chromosomes. Chromosomes map analysis and GA experiments are performed. Results suggest that EOBOAFT always outperforms DSM. An industrial application is given to validate the rationality of this algorithm at last.

Author Biographies

Fuji Wang, 351, School of Mechanical Engineering,Dalian University of Technology,Dalian City,China

Dep.: Mechanical Engineering,Dalian University of Technology

Rank: associate professor

Zhenyuan Jia, 351, School of Mechanical Engineering,Dalian University of Technology,Dalian City,China


Dep.: Mechanical Engineering,Dalian University of Technology

Rank: professor, dean

Wei Liu, 351, School of Mechanical Engineering,Dalian University of Technology,Dalian City,China

Dep.: Mechanical Engineering,Dalian University of Technology

Rank: lecturer

Guokai Zhao, 351, School of Mechanical Engineering,Dalian University of Technology,Dalian City,China

Dep.: Mechanical Engineering,Dalian University of Technology

Rank: Master

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Published

2011-08-04

How to Cite

Wang, F., Jia, Z., Liu, W., & Zhao, G. (2011). GENETIC ALGORITHMS WITH A NEW REPAIR OPERATOR FOR ASSEMBLY JOB SHOP SCHEDULING. International Journal of Industrial Engineering: Theory, Applications and Practice, 18(7). https://doi.org/10.23055/ijietap.2011.18.7.278

Issue

Vol. 18 No. 7 (2011)

Section

Production Planning and Control

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