A Self-Adaptive Cuckoo Search Algorithm Using a Machine Learning Technique

A Self-Adaptive Cuckoo Search Algorithm Using a Machine Learning Technique

Metaheuristics are intelligent problem-solvers that have been very efficient in solving huge optimization problems for more than two decades. However, the main drawback of these solvers is the need for problem-dependent and complex parameter setting in order to reach good results. This paper present...

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Bibliographic Details
Main Authors: Nicolás Caselli, Ricardo Soto, Broderick Crawford, Sergio Valdivia, Rodrigo Olivares
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Mathematics
Subjects:
clustering techniques
metaheuristics
machine learning
self-adaptive
parameter setting
exploration
Online Access:https://www.mdpi.com/2227-7390/9/16/1840

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https://www.mdpi.com/2227-7390/9/16/1840

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