GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems

In the last few decades, genetic algorithms (GAs) demonstrated to be an effective approach for solving real-world optimization problems. However, it is known that, in presence of a huge solution space and many local optima, GAs cannot guarantee the achievement of global optimality. In this work, in...

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Bibliographic Details

Published in:	Information sciences Vol. 547; pp. 136 - 162
Main Authors:	D’Angelo, Gianni, Palmieri, Francesco
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 08.02.2021
Subjects:	Constrained optimization Evolutionary algorithms Gradient descent Heuristics Hybrid genetic algorithms Gradient descent Hybrid genetic algorithms Evolutionary algorithms Heuristics Constrained optimization
ISSN:	0020-0255, 1872-6291
Online Access:	Get full text
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