Estimation of Distribution Algorithm for Grammar-Guided Genetic Programming

Genetic variation operators in grammar-guided genetic programming are fundamental to guide the evolutionary process in search and optimization problems. However, they show some limitations, mainly derived from an unbalanced exploration and local-search trade-off. This paper presents an estimation of...

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Veröffentlicht in:	Evolutionary computation Jg. 32; H. 4; S. 339
Hauptverfasser:	Criado, Pablo Ramos, Rolanía, D Barrios, de la Hoz, David, Manrique, Daniel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 02.12.2024
Schlagworte:	Algorithms Biological Evolution Computer Simulation Genetic Variation Humans Models, Genetic Stochastic Processes estimation of distribution algorithms search-space exploration Grammar-guided genetic programming local search, locality genetic variation operators
ISSN:	1530-9304, 1530-9304
Online-Zugang:	Weitere Angaben
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