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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Veröffentlicht in:	Swarm and evolutionary computation Jg. 89; S. 101616
Hauptverfasser:	Tapia-Avitia, José M., Cruz-Duarte, Jorge M., Amaya, Ivan, Ortiz-Bayliss, José Carlos, Terashima-Marin, Hugo, Pillay, Nelishia
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.08.2024
Schlagworte:	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-Zugang:	Volltext
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