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Controlling a Single Transport Robot in a Flexible Job Shop Environment by Hybrid Metaheuristics

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Transactions on Computational Collective Intelligence XXVIII

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 10780))

Abstract

In robotic systems, the control of some elements such as transport robot has some difficulties when planning operations dynamically. The Flexible Job Shop scheduling Problem with Transportation times and a Single Robot (FJSPT-SR) is a generalization of the classical Job Shop scheduling Problem (JSP) where a set of jobs additionally have to be transported between machines by a single transport robot. Hence, the FJSPT-SR is more computationally difficult than the JSP presenting two NP-hard problems simultaneously: the flexible job shop scheduling problem and the robot routing problem. This paper proposes a hybrid metaheuristic approach based on clustered holonic multiagent model for the FJSPT-SR. Firstly, a scheduler agent applies a Neighborhood-based Genetic Algorithm (NGA) for a global exploration of the search space. Secondly, a set of cluster agents uses a tabu search technique to guide the research in promising regions. Computational results are presented using benchmark data instances from the literature of FJSPT-SR. New upper bounds are found, showing the effectiveness of the presented approach.

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Authors and Affiliations

  1. SOIE-COSMOS, École Nationale des Sciences de l’Informatique, Université de la Manouba, Tunis, Tunisia

    Houssem Eddine Nouri, Olfa Belkahla Driss & Khaled Ghédira

  2. Institut Supérieur de Gestion de Tunis, Université de Tunis, Bardo, Tunis, Tunisia

    Houssem Eddine Nouri & Khaled Ghédira

  3. École Supérieure de Commerce de Tunis, Université de la Manouba, Tunis, Tunisia

    Olfa Belkahla Driss

Authors
  1. Houssem Eddine Nouri
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  2. Olfa Belkahla Driss
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  3. Khaled Ghédira
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Correspondence to Houssem Eddine Nouri .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology, Hawthorn, Victoria, Australia

    Ryszard Kowalczyk

  3. Leiden University, Leiden, The Netherlands

    Jaap van den Herik

  4. Universidade do Porto, Porto, Portugal

    Ana Paula Rocha

  5. INSTICC, Polytechnic Institute of Setúbal, Setubal, Portugal

    Joaquim Filipe

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Nouri, H.E., Driss, O.B., Ghédira, K. (2018). Controlling a Single Transport Robot in a Flexible Job Shop Environment by Hybrid Metaheuristics. In: Nguyen, N., Kowalczyk, R., van den Herik, J., Rocha, A., Filipe, J. (eds) Transactions on Computational Collective Intelligence XXVIII. Lecture Notes in Computer Science(), vol 10780. Springer, Cham. https://doi.org/10.1007/978-3-319-78301-7_5

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  • DOI: https://doi.org/10.1007/978-3-319-78301-7_5

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-78301-7

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