Walsh-based surrogate-assisted multi-objective combinatorial optimization: A fine-grained analysis for pseudo-boolean functions

The aim of this paper is to study surrogate-assisted algorithms for expensive multiobjective combinatorial optimization problems. Targeting pseudo-boolean domains, we provide a fine-grained analysis of an optimization framework using the Walsh basis as a core surrogate model. The considered framewor...

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Bibliographic Details

Published in:	Applied soft computing Vol. 136; p. 110061
Main Authors:	Derbel, Bilel, Pruvost, Geoffrey, Liefooghe, Arnaud, Verel, Sébastien, Zhang, Qingfu
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2023 Elsevier
Subjects:	Artificial Intelligence Computer Science Decomposition Discrete surrogates Multi-objective optimization Operations Research Discrete surrogates Multi-objective optimization Decomposition
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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