Analysing hyper-heuristics based on Neural Networks for the automatic design of population-based metaheuristics in continuous optimisation problems

When dealing with optimisation problems, Metaheuristics (MHs) quickly come to our minds. A quick literature review reveals a vast universe of MHs. Although the metaphors behind these MHs are always presented as ‘unique’ to justify their novelty, the truth is that many MHs just recombine elements fro...

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Bibliographic Details

Published in:	Swarm and evolutionary computation Vol. 89; p. 101616
Main Authors:	Tapia-Avitia, José M., Cruz-Duarte, Jorge M., Amaya, Ivan, Ortiz-Bayliss, José Carlos, Terashima-Marin, Hugo, Pillay, Nelishia
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2024
Subjects:	Hyper-heuristics Metaheuristics Neural Networks Parameter tuning and algorithm configuration Performance measures Neural Networks Performance measures Hyper-heuristics Parameter tuning and algorithm configuration Metaheuristics
ISSN:	2210-6502
Online Access:	Get full text
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