MULTI-OPERATOR HYBRID GENETIC ALGORITHM-SIMULATED ANNEALING FOR REENTRANT PERMUTATION FLOW-SHOP SCHEDULING

Authors

  • Achmad Pratama Rifai Department of Mechanical and Industrial Engineering, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Putri Adriani Kusumastuti Department of Mechanical and Industrial Engineering, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Setyo Tri Windras Mara Department of Mechanical and Industrial Engineering, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Rachmadi Norcahyo Department of Mechanical and Industrial Engineering, Faculty of Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia
  • Siti Zawiah Md Dawal Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.11113/aej.v11.16875

Keywords:

Genetic algorithm, Hybrid algorithm, Multiple operators, Reentrant permutation flow-shop, Simulated annealing.

Downloads

Published

2021-04-21

How to Cite

Rifai, A. P. ., Kusumastuti, P. A. ., Mara, S. T. W. ., Norcahyo, R. ., & Md Dawal, S. Z. . (2021). MULTI-OPERATOR HYBRID GENETIC ALGORITHM-SIMULATED ANNEALING FOR REENTRANT PERMUTATION FLOW-SHOP SCHEDULING. ASEAN Engineering Journal, 11(3), 109-126. https://doi.org/10.11113/aej.v11.16875