Towards fast approximations for the hypervolume indicator for multi-objective optimization problems by Genetic Programming

Hypervolume (HV) has become one of the most popular indicators to assess the quality of Pareto front approximations. However, the best algorithm for computing these values has a computational complexity of O(Nk/3polylog(N)) for N candidate solutions and k objectives. In this study, we propose a regr...

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Vydané v:	Applied soft computing Ročník 125; s. 109103
Hlavní autori:	Sandoval, Cristian, Cuate, Oliver, González, Luis C., Trujillo, Leonardo, Schütze, Oliver
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.08.2022
Predmet:	Automatic algorithm design Genetic programming Hypervolume Multi-objective optimization Regression Regression Multi-objective optimization Genetic programming Automatic algorithm design Hypervolume
ISSN:	1568-4946, 1872-9681
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