An evolutionary approach for solving the job shop scheduling problem in a service industry

• Main Authors: Yousefi M., Hooshyar D., Oliveira J.A.S.
• Other Authors: 55247052200
• Format: Article
• Published: Universitas Ahmad Dahlan 2023

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. In order to clarify the problem and the proposed solution a small instance discusses then the problem with the real data is solved. 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. � 2015 International Journal of Advances in Intelligent Informatics. All rights reserved.