Scheduling Flexible Assembly Lines Using Differential Evolution

  • Lui Wen Han Vincent
  • S. G. Ponnambalam
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7076)


This paper investigates the performance of Differential Evolution (DE) in solving a Flexible Assembly Line (FAL) scheduling problem. Using a mathematical model developed in literature, the DE algorithm is implemented with the objectives of minimizing the sum of Earliness/Tardiness (E/T) penalties and maximizing the balance of the FAL. Experimental results have shown that DE is capable of solving the FAL scheduling problem effectively. Furthermore, a comparison with similar work in literature which employs Genetic Algorithm (GA) shows that DE produces a better solution.


Schedule Problem Differential Evolution Differential Evolution Algorithm Machine Type Schedule Status 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Lui Wen Han Vincent
    • 1
  • S. G. Ponnambalam
    • 1
  1. 1.Monash UniversityPetaling JayaMalaysia

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