An efficient multi-objective optimization algorithm based on level swarm optimizer
type: Item
instance of: scholarly article
title: An efficient multi-objective optimization algorithm based on level swarm optimizer
author: XuWei Zhang
author: Hao Liu
author: LiangPing Tu
author: Jian Zhao
published in: Mathematics and Computers in Simulation
publication date: 2021-03-06T00:00:00Z
Mathematics Subject Classification ID: 90Cxx
zbMATH DE Number: 7318118
zbMATH Keywords: multi-objective
zbMATH Keywords: level-based learning strategy
zbMATH Keywords: diversity
zbMATH Keywords: density estimation
describes a project that uses: HypE
describes a project that uses: MOEA/D
describes a project that uses: MOPSO
describes a project that uses: SMS-EMOA
describes a project that uses: PlatEMO
describes a project that uses: GitHub
MaRDI profile type: Publication
full work available at URL: j.matcom.2020.05.025
OpenAlex ID: W3030456883
cites work: SMS-EMOA: multiobjective selection based on dominated hypervolume
cites work: Q5701623
cites work: Q3350808
cites work: Evolutionary Multi-Criterion Optimization
cites work: A novel multi-objective particle swarm optimization with multiple search strategies
cites work: Handling many-objective optimisation problems with R2 indicator and decomposition-based particle swarm optimiser
cites work: Depth Super-Resolution on RGB-D Video Sequences With Large Displacement 3D Motion
DOI: 10.1016/J.MATCOM.2020.05.025
description: scientific article; zbMATH DE number 7318118