Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms
type: Item
instance of: scholarly article
title: Utilizing expected improvement and generalized data envelopment analysis in multi-objective genetic algorithms
zbMATH Open document ID: 1315.90049
author: H. Nakayama
author: Ye Boon Yun
published in: Journal of Global Optimization
publication date: 2013-11-07T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 62-07
Mathematics Subject Classification ID: 92D99
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90C26
zbMATH DE Number: 6223480
zbMATH Keywords: multi-objective optimization
zbMATH Keywords: expected improvement
zbMATH Keywords: generalized data envelopment analysis
zbMATH Keywords: meta-heuristic optimization
describes a project that uses: SPEA2
describes a project that uses: EGO
describes a project that uses: jMetal
describes a project that uses: SPACE
describes a project that uses: SMPSO
MaRDI profile type: Publication
full work available at URL: s10898-013-0038-1
OpenAlex ID: W2056547079
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DOI: 10.1007/S10898-013-0038-1
description: scientific article; zbMATH DE number 6223480