Splitting for multi-objective optimization
type: Item
instance of: scholarly article
title: Splitting for multi-objective optimization
zbMATH Open document ID: 1403.90604
author: Qibin Duan
author: Dirk P. Kroese
published in: Methodology and Computing in Applied Probability
publication date: 2018-08-14T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 68W20
zbMATH DE Number: 6917366
zbMATH Keywords: splitting method
zbMATH Keywords: multi-objective optimization
zbMATH Keywords: Pareto front
zbMATH Keywords: Pareto set
zbMATH Keywords: benchmarking
zbMATH Keywords: inverted generational distance
describes a project that uses: MOEA/D
describes a project that uses: GDE3
describes a project that uses: PAES
describes a project that uses: MOPSO
MaRDI profile type: Publication
full work available at URL: s11009-017-9572-5
OpenAlex ID: W2623847936
cites work: Splitting for optimization
cites work: An efficient algorithm for rare-event probability estimation, combinatorial optimization, and counting
cites work: Efficient Monte Carlo simulation via the generalized splitting method
cites work: Q4451071
cites work: Handbook of Monte Carlo Methods
DOI: 10.1007/S11009-017-9572-5
description: scientific article; zbMATH DE number 6917366