Improving the performance and energy of non-dominated sorting for evolutionary multiobjective optimization on GPU/CPU platforms
type: Item
instance of: scholarly article
title: Improving the performance and energy of non-dominated sorting for evolutionary multiobjective optimization on GPU/CPU platforms
zbMATH Open document ID: 1402.90172
author: D. Kharzeev
published in: Journal of Global Optimization
publication date: 2018-07-18T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6905237
zbMATH Keywords: evolutionary multiobjective algorithms
zbMATH Keywords: non-dominated sorting
zbMATH Keywords: best order sort
zbMATH Keywords: high performance computing
zbMATH Keywords: multicore platforms
zbMATH Keywords: GPU
describes a project that uses: CUDA
describes a project that uses: SPEA2
describes a project that uses: Omni-optimizer
MaRDI profile type: Publication
full work available at URL: s10898-018-0669-3
OpenAlex ID: W2806261984
cites work: Evolutionary Multi-Criterion Optimization
cites work: Non-dominated sorting procedure for Pareto dominance ranking on multicore CPU and/or GPU
cites work: Nonlinear multiobjective optimization
cites work: Very fast non-dominated sorting
DOI: 10.1007/S10898-018-0669-3
description: scientific article; zbMATH DE number 6905237