EMOSOR: evolutionary multiple objective optimization guided by interactive stochastic ordinal regression
type: Item
instance of: scholarly article
title: EMOSOR: evolutionary multiple objective optimization guided by interactive stochastic ordinal regression
zbMATH Open document ID: 1458.90402
author: Michał K. Tomczyk
author: Miłosz Kadziński
published in: Computers \& Operations Research
publication date: 2019-07-08T00:00:00Z
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 91B06
zbMATH DE Number: 7077523
zbMATH Keywords: multiple objective optimization
zbMATH Keywords: interactive evolutionary hybrids
zbMATH Keywords: stochastic ordinal regression
zbMATH Keywords: preference disaggregation
zbMATH Keywords: pairwise comparisons
zbMATH Keywords: active learning
describes a project that uses: MOEA/D
describes a project that uses: VisualUTA
MaRDI profile type: Publication
full work available at URL: j.cor.2019.04.008
OpenAlex ID: W2935888086
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Wikidata QID: Q128087132
DOI: 10.1016/J.COR.2019.04.008
description: scientific article; zbMATH DE number 7077523