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Halima Labani
LAMAPI Laboratory, Department of mathematics, Faculty of Sciences, University of Chouaib Doukkali, El Jadida, Morocco

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Optimization of Makespan in Job Shop Scheduling Problem by Golden Ball Algorithm Fatima Sayoti; Mohammed Essaid Riffi; Halima Labani
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 3: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i3.pp542-547

Abstract

Job shop scheduling problem (JSSP) is considered to belong to the class of NP-hard combinatorial optimization problem. Finding a solution to this problem is equivalent to solving different problems of various fields such as industry and logistics. The objective of this work is to optimize the makespan in JSSP using Golden Ball algorithm. In this paper we propose an efficient adaptation of Golden Ball algorithm to the JSSP. Numerical results are presented for 36 instances of OR-Library. The computational results show that the proposed adaptation is competitive when compared with other existing methods in the literature; it can solve the most of the benchmark instances.
Co-Authors Fatima Sayoti Mohammed Essaid Riffi