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International Workshop on Hybrid Metaheuristics

HM 2008: Hybrid Metaheuristics pp 87–101Cite as

Optimised Search Heuristic Combining Valid Inequalities and Tabu Search

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 5296)

Abstract

This paper presents an Optimised Search Heuristic that combines a tabu search method with the verification of violated valid inequalities. The solution delivered by the tabu search is partially destroyed by a randomised greedy procedure, and then the valid inequalities are used to guide the reconstruction of a complete solution. An application of the new method to the Job-Shop Scheduling problem is presented.

Keywords

  • Optimised Search Heuristic
  • Tabu Search
  • GRASP
  • Valid Inequalities
  • Job-shop Scheduling

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Author information

Authors and Affiliations

  1. Universidade do Algarve, Faro, Portugal

    Susana Fernandes

  2. Univertitat Pompeu Fabra, Barcelona, Spain

    Helena R. Lourenço

Authors
  1. Susana Fernandes
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  2. Helena R. Lourenço
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Editor information

Editors and Affiliations

  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    María J. Blesa & Christian Blum & 

  2. Dept. LCC, Universidad de Málaga, Spain

    Carlos Cotta

  3. ETSI Informática, Universidad de Málaga, Málaga, Spain

    Antonio J. Fernández

  4. Dept. Lenguajes y Ciencias de la Computación, ETSI Informática, Universidad de Málaga, Málaga, Spain

    José E. Gallardo

  5. DEIS, Università di Bologna, Cesena, Italy

    Andrea Roli

  6. Université Libre de Bruxelles, IRIDIA CP 194/6, Avenue Franklin D. Roosevelt 50, 1050, Bruxelles, Belgium

    Michael Sampels

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Fernandes, S., Lourenço, H.R. (2008). Optimised Search Heuristic Combining Valid Inequalities and Tabu Search. In: Blesa, M.J., et al. Hybrid Metaheuristics. HM 2008. Lecture Notes in Computer Science, vol 5296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88439-2_7

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  • DOI: https://doi.org/10.1007/978-3-540-88439-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88438-5

  • Online ISBN: 978-3-540-88439-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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