Moslem Yousefi
Centre of Advanced Mechatronics and Robotics, College of Engineering, University Tenaga Nasional (UNITEN)

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An evolutionary approach for solving the job shop scheduling problem in a service industry Milad Yousefi; Moslem Yousefi; Danial Hooshyar; Jefferson Ataide de Souza Oliveira
International Journal of Advances in Intelligent Informatics Vol 1, No 1 (2015): March 2015
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v1i1.5


In this paper, an evolutionary-based approach based on the discrete particle swarm optimization (DPSO) algorithm is developed for finding the optimum schedule of a registration problem in a university. Minimizing the makespan, which is the total length of the schedule, in a real-world case study is considered as the target function. Since the selected case study has the characteristics of job shop scheduling problem (JSSP), it is categorized as a NP-hard problem which makes it difficult to be solved by conventional mathematical approaches in relatively short computation time.