A box decomposition algorithm to compute the hypervolume indicator
type: Item
instance of: scholarly article
title: A box decomposition algorithm to compute the hypervolume indicator
zbMATH Open document ID: 1391.90557
author: Renaud Lacour
author: Kathrin Klamroth
author: Carlos M. Fonseca
published in: Computers \& Operations Research
publication date: 2018-07-11T00:00:00Z
full work available at URL: https://arxiv.org/abs/1510.01963
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 65D18
Mathematics Subject Classification ID: 90C10
zbMATH DE Number: 6901352
zbMATH Keywords: multi-objective optimization
zbMATH Keywords: hypervolume indicator
zbMATH Keywords: Klee's measure problem
MaRDI profile type: Publication
OpenAlex ID: W2962987192
arXiv ID: 1510.01963
cites work: SMS-EMOA: multiobjective selection based on dominated hypervolume
cites work: Approximating the volume of unions and intersections of high-dimensional geometric objects
cites work: Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization
cites work: A linear bound on the number of scalarizations needed to solve discrete tricriteria optimization problems
cites work: Efficient computation of the search region in multi-objective optimization
cites work: Q5452284
cites work: Q4424324
cites work: Efficient Colored Orthogonal Range Counting
cites work: On the representation of the search region in multi-objective optimization
cites work: Q4817402
cites work: A two phase method for multi-objective integer programming and its application to the assignment problem with three objectives
cites work: Evolutionary multi-criterion optimization. 4th international conference, EMO 2007, Matsushima, Japan, March 5--8, 2007. Proceedings
DOI: 10.1016/J.COR.2016.06.021
description: scientific article