Multi agent model based on chemical reaction optimization for flexible job shop problem

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Abstract

The Flexible Job Shop Problem (FJSP) is an extension of classical job shop problem such that each operation can be processed on different machine and its processing time depends on the machine used. This paper proposes a new multi-agent model based on the meta-heuristic Chemical Reaction Optimization (CRO) to solve the FJSP in order to minimize the maximum completion time (makespan). Experiments are performed on benchmark instances proposed in the literature to evaluate the performance of our model.

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Marzouki, B., & Driss, O. B. (2015). Multi agent model based on chemical reaction optimization for flexible job shop problem. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9329, pp. 29–38). Springer Verlag. https://doi.org/10.1007/978-3-319-24069-5_3

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