Adaptive and Multilevel Metaheuristics

Marc Sevaux (), Kenneth Sörensen () and Nelishia Pillay ()
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Marc Sevaux: Université de Bretagne-Sud, Lab-STICC, CNRS
Kenneth Sörensen: University of Antwerp
Nelishia Pillay: University of KwaZulu-Natal, School of Mathematics, Statistics, and Computer Science

Chapter 1 in Handbook of Heuristics, 2018, pp 3-21 from Springer

Abstract: Abstract For the last decades, metaheuristics have become ever more popular as a tool to solve 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 multilevel metaheuristics (that change their configuration during the search by means of a metaheuristic) can be a solution for this. This chapter intends to make a quick review of the latest trends in adaptive metaheuristics and in multilevel metaheuristics.

Keywords: Metaheuristics; Multilevel; Adaptive; Configuration; Hyper-heuristics (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/978-3-319-07124-4_16

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