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Authors: Ameni Azzouz ; Meriem Ennigrou and Boutheina Jlifi

Affiliation: ISG, Institut Sup´erieur de Gestion and Universit´e de Tunis, Tunisia

ISBN: 978-989-758-122-9

Keyword(s): Diversification, Tabu Search, Genetic Algorithm, Multi-agent System, Flexible Job Shop.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Distributed Control Systems ; Evolutionary Computation and Control ; Evolutionary Computing ; Formal Methods ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Planning and Scheduling ; Simulation and Modeling ; Soft Computing ; Software Agents for Intelligent Control Systems ; Symbolic Systems

Abstract: 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.

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Paper citation in several formats:
Azzouz, A.; Ennigrou, M. and Jlifi, B. (2015). Diversifying TS using GA in Multi-agent System for Solving Flexible Job Shop Problem.In Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-122-9, pages 94-101. DOI: 10.5220/0005511000940101

@conference{icinco15,
author={Ameni Azzouz. and Meriem Ennigrou. and Boutheina Jlifi.},
title={Diversifying TS using GA in Multi-agent System for Solving Flexible Job Shop Problem},
booktitle={Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2015},
pages={94-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005511000940101},
isbn={978-989-758-122-9},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Diversifying TS using GA in Multi-agent System for Solving Flexible Job Shop Problem
SN - 978-989-758-122-9
AU - Azzouz, A.
AU - Ennigrou, M.
AU - Jlifi, B.
PY - 2015
SP - 94
EP - 101
DO - 10.5220/0005511000940101

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