2015

Conférence

12th International Conference on Informatics in Control, Automation and Robotics (ICINCO). Vol. 1. IEEE, 2015.

No doubt, the flexible job shop problem (FJSP) has an important significance in both fields of production management and combinatorial optimization. For this reason, FJSP continues to attract the interests of researchers both in academia and industry. In this paper, we propose a new multi-agent model for FJSP. Our model is based on cooperation between genetic algorithm (GA) and tabu search (TS). We used GA operators as a diversification technique in order to enhance the searching ability of TS. The computational results confirm that our model MAS-GATS provides better solutions than other models.

@inproceedings{azzouz2015diversifying,
  title={Diversifying TS using GA in multi-agent system for solving flexible job shop problem},
  author={Azzouz, Ameni and Ennigrou, Meriem and Jlifi, Boutheina},
  booktitle={2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO)},
  volume={1},
  pages={94--101},
  year={2015},
  organization={IEEE}
}