Memetic Computing

, Volume 1, Issue 1, pp 69–83 | Cite as

Memetic algorithms for solving job-shop scheduling problems

  • S. M. Kamrul Hasan
  • Ruhul Sarker
  • Daryl Essam
  • David Cornforth
Regular Research Paper

Abstract

The job-shop scheduling problem is well known for its complexity as an NP-hard problem. We have considered JSSPs with an objective of minimizing makespan while satisfying a number of hard constraints. In this paper, we developed a memetic algorithm (MA) for solving JSSPs. Three priority rules were designed, namely partial re-ordering, gap reduction and restricted swapping, and used as local search techniques in our MA. We have solved 40 benchmark problems and compared the results obtained with a number of established algorithms in the literature. The experimental results show that MA, as compared to GA, not only improves the quality of solutions but also reduces the overall computational time.

Keywords

Job-shop scheduling Genetic algorithm Memetic algorithm Local search Priority rules 

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Copyright information

© Springer-Verlag 2008

Authors and Affiliations

  • S. M. Kamrul Hasan
    • 1
  • Ruhul Sarker
    • 1
  • Daryl Essam
    • 1
  • David Cornforth
    • 1
  1. 1.School of Information Technology and Electrical EngineeringUniversity of New South Wales at the Australian Defence Force AcademyCanberraAustralia

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