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Parallel Metaheuristics and Cooperative Search

In: Handbook of Metaheuristics

Author

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  • Teodor Crainic

    (Logistics and Transportation
    Université du Québec à Montréal)

Abstract

The chapter presents a general view of parallel metaheuristics for optimization. It recalls the main concepts and strategies in designing parallel metaheuristics and identifies trends and promising research directions. The focus is on cooperation-based strategies, which display remarkable performances, in particular strategies based on asynchronous exchanges and the creation of new information out of exchanged data to enhance the global guidance of the search.

Suggested Citation

  • Teodor Crainic, 2019. "Parallel Metaheuristics and Cooperative Search," International Series in Operations Research & Management Science, in: Michel Gendreau & Jean-Yves Potvin (ed.), Handbook of Metaheuristics, edition 3, chapter 0, pages 419-451, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-91086-4_13
    DOI: 10.1007/978-3-319-91086-4_13
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    Cited by:

    1. Mohamed Hussein & Abdelrahman E. E. Eltoukhy & Amos Darko & Amr Eltawil, 2021. "Simulation-Optimization for the Planning of Off-Site Construction Projects: A Comparative Study of Recent Swarm Intelligence Metaheuristics," Sustainability, MDPI, vol. 13(24), pages 1-41, December.
    2. Schryen, Guido, 2020. "Parallel computational optimization in operations research: A new integrative framework, literature review and research directions," European Journal of Operational Research, Elsevier, vol. 287(1), pages 1-18.

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