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A Holonic Multiagent Model Based on a Combined Genetic Algorithm─Tabu Search for the Flexible Job Shop Scheduling Problem

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Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection (PAAMS 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 524))

Abstract

The Flexible Job Shop scheduling Problem (FJSP) is an extension of the classical Job Shop scheduling Problem (JSP) that allows to process operations on one machine out of a set of alternative machines. It is an NP-hard problem consisting of two sub-problems which are the assignment and the scheduling problems. This paper proposes a holonic multiagent model based on a combined genetic algorithm and tabu search for the FJSP. Firstly, a scheduler agent applies a Neighborhood-based Genetic Algorithm (NGA) for a global exploration of the search space. Secondly, a cluster agents set uses a local search technique to guide the research in promising regions. Numerical tests are made to evaluate our approach, based on two sets of benchmark instances from the literature of the FJSP: Kacem and Hurink. The experimental results show the efficiency of our approach in comparison to other approaches.

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Authors and Affiliations

  1. Stratégies d’Optimisation et Informatique IntelligentE (SOIE), Higher Institute of Management of Tunis, Tunis, Tunisia

    Houssem Eddine Nouri, Olfa Belkahla Driss & Khaled Ghédira

Authors
  1. Houssem Eddine Nouri
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  2. Olfa Belkahla Driss
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  3. Khaled Ghédira
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Corresponding author

Correspondence to Houssem Eddine Nouri .

Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid, Madrid, Spain

    Javier Bajo

  2. University of Southern Denmark, Odense, Denmark

    Kasper Hallenborg

  3. Faculty of Engineering Management, Poznan University, Poznan, Poland

    Pawel Pawlewski

  4. Departamento de Sistemas Informáticos y Computación, Polytechnic University of Valencia, Valencia, Spain

    Vicente Botti

  5. Fluminense Federal University, Rio de Janeiro, Brazil

    Nayat Sánchez-Pi

  6. Universidad Nacional de Colombia, Manizales, CALDAS, Colombia

    Nestor Darío Duque Méndez

  7. Lab. Nacional de Energia e Geologia, Lisbon, Portugal

    Fernando Lopes

  8. Universidad Politécnica de Valencia, Valencia, Spain

    Vicente Julian

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Nouri, H.E., Driss, O.B., Ghédira, K. (2015). A Holonic Multiagent Model Based on a Combined Genetic Algorithm─Tabu Search for the Flexible Job Shop Scheduling Problem. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection. PAAMS 2015. Communications in Computer and Information Science, vol 524. Springer, Cham. https://doi.org/10.1007/978-3-319-19033-4_4

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  • DOI: https://doi.org/10.1007/978-3-319-19033-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19032-7

  • Online ISBN: 978-3-319-19033-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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