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Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search

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  • Turkeš, Renata
  • Sörensen, Kenneth
  • Hvattum, Lars Magnus

Abstract

Research on metaheuristics has focused on (novel) algorithmic development and on competitive testing, both of which have been frequently argued to yield little generalizable knowledge. The main goal of this paper is to promote meta-analysis — a systematic statistical examination that combines the results of several independent studies — as a more suitable way to obtain problem- and implementation-independent insights on metaheuristics. Meta-analysis is widely used in several scientific domains, most notably the medical sciences (e.g., to establish the efficacy of a certain treatment). To the best of our knowledge, this is the first meta-analysis in the field of metaheuristics.

Suggested Citation

  • Turkeš, Renata & Sörensen, Kenneth & Hvattum, Lars Magnus, 2021. "Meta-analysis of metaheuristics: Quantifying the effect of adaptiveness in adaptive large neighborhood search," European Journal of Operational Research, Elsevier, vol. 292(2), pages 423-442.
    • Handle: RePEc:eee:ejores:v:292:y:2021:i:2:p:423-442
    DOI: 10.1016/j.ejor.2020.10.045
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