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A Self-Adaptive Approach to Exploit Topological Properties of Different Gas' Crossover Operators

AuthID
P-00Y-AZR

Author(s)

Ferreira, J

Castelli, M

Manzoni, L

Pietropolli, G

Editor(es)

Pappa,G;Giacobini,M;Vasicek,Z

Tipo de Documento

Proceedings Paper

Year published

2023

Publicado

in GENETIC PROGRAMMING, EUROGP 2023 in Lecture Notes in Computer Science, ISSN: 0302-9743

Volume: 13986, Páginas: 3-18 (16)

Conference

26Th European Conference on Genetic Programming (Eurogp) Held as Part of Evostar, Date: APR 12-14, 2023, Location: Brno Univ Technol, Brno, CZECH REPUBLIC, Host: Brno Univ Technol

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Publication Identifiers

DOI: 10.1007/978-3-031-29573-7_1

SCOPUS: 2-s2.0-85152538151

Wos: WOS:000999086900001

Source Identifiers

ISSN: 0302-9743

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A Self-Adaptive Approach to Exploit Topological Properties of Different Gas' Crossover Operators

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A Self-Adaptive Approach to Exploit Topological Properties of Different Gas' Crossover Operators

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