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An Overview of Heuristics and Metaheuristics

In: The Palgrave Handbook of Operations Research

Author

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  • Saïd Salhi

    (University of Kent)

  • Jonathan Thompson

    (Cardiff University)

Abstract

There are numerous optimisation problems for which heuristics are currently the only practical solution method. This chapter explains the need for heuristics before providing a brief overview of heuristic search techniques including metaheuristics. These include traditional local search methods including simulated annealing and tabu search, population methods including genetic algorithms and ant colony optimisation and more recently proposed methods such as harmony search and particle swarm optimisation. Examples are provided from successful applications and we will also discuss potential future research avenues.

Suggested Citation

  • Saïd Salhi & Jonathan Thompson, 2022. "An Overview of Heuristics and Metaheuristics," Springer Books, in: Saïd Salhi & John Boylan (ed.), The Palgrave Handbook of Operations Research, chapter 0, pages 353-403, Springer.
  • Handle: RePEc:spr:sprchp:978-3-030-96935-6_11
    DOI: 10.1007/978-3-030-96935-6_11
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    Cited by:

    1. Madani, Batool & Ndiaye, Malick & Salhi, Said, 2024. "Hybrid truck-drone delivery system with multi-visits and multi-launch and retrieval locations: Mathematical model and adaptive variable neighborhood search with neighborhood categorization," European Journal of Operational Research, Elsevier, vol. 316(1), pages 100-125.

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