Adaptive and Multi-level Metaheuristics

Marc Sevaux (), Kenneth Sörensen () and Nelishia Pillay ()
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Marc Sevaux: Université Bretagne Sud, Lab-STICC, CNRS
Kenneth Sörensen: University of Antwerp
Nelishia Pillay: University of Pretoria

Chapter 1 in Handbook of Heuristics, 2025, pp 3-24 from Springer

Abstract: Abstract In recent decades, metaheuristics have become increasingly popular as a tool for solving a large class of difficult optimization problems. However, determining the best configuration of a metaheuristic, which includes the program flow and the parameter settings, remains a difficult task. Adaptive metaheuristics (that change their configuration during the search) and multi-level metaheuristics (that change their configuration during the search by means of a metaheuristic) can be a solution for this. This chapter intends to give a quick review of the latest trends in adaptive metaheuristics and multi-level metaheuristics.

Keywords: Metaheuristics; Multi-level; Adaptive; Configuration; Hyper-heuristics (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-032-00385-0_16

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