A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search
type: Item
instance of: scholarly article
title: A preference-based multi-objective evolutionary algorithm R-NSGA-II with stochastic local search
zbMATH Open document ID: 1390.90582
author: Ernestas Filatovas
author: Algirdas Lančinskas
author: Olga Kurasova
author: Julius Žilinskas
published in: CEJOR. Central European Journal of Operations Research
publication date: 2018-06-15T00:00:00Z
Mathematics Subject Classification ID: 90C59
Mathematics Subject Classification ID: 90C29
zbMATH DE Number: 6890232
zbMATH Keywords: multi-objective optimization
zbMATH Keywords: preference-based evolutionary algorithms
zbMATH Keywords: memetic algorithm
zbMATH Keywords: stochastic local search
describes a project that uses: MOEA/D
describes a project that uses: SPEA2
MaRDI profile type: Publication
full work available at URL: s10100-016-0443-x
OpenAlex ID: W2348485687
cites work: Integrating Cross-Dominance Adaptation in Multi-Objective Memetic Algorithms
cites work: Multi-objective optimization using evolutionary algorithms
cites work: Q5412164
cites work: A Memetic Variant of R-NSGA-II for Reference Point Problems
cites work: Nonlinear multiobjective optimization
cites work: A preference-based evolutionary algorithm for multiobjective optimization: the weighting achievement scalarizing function genetic algorithm
cites work: Minimization by Random Search Techniques
cites work: Q5191184
DOI: 10.1007/S10100-016-0443-X
description: scientific article; zbMATH DE number 6890232