The Pareto fitness genetic algorithm: test function study
type: Item
instance of: scholarly article
title: The Pareto fitness genetic algorithm: test function study
zbMATH Open document ID: 1102.90056
author: Semya Elaoud
author: Taicir Loukil
author: Jacques Teghem
published in: European Journal of Operational Research
publication date: 2006-12-14T00:00:00Z
Mathematics Subject Classification ID: 90C29
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 5080313
zbMATH Keywords: multiobjective optimization
zbMATH Keywords: genetic algorithm
zbMATH Keywords: Pareto ranking
describes a project that uses: SPEA2
MaRDI profile type: Publication
full work available at URL: j.ejor.2005.10.018
OpenAlex ID: W1967570387
cites work: A multi-population genetic algorithm to solve multi-objective scheduling problems for parallel machines.
cites work: Q4670574
cites work: A new multiobjective evolutionary algorithm
cites work: Q3832072
DOI: 10.1016/J.EJOR.2005.10.018
Recommended article: The parallel genetic algorithm as function optimizer
Recommended article: Q2991341
Recommended article: An Experimental Study of Benchmarking Functions for Genetic Algorithms
Recommended article: On benchmarking functions for genetic algorithms
Recommended article: Q3047781
Recommended article: Q4318880
description: scientific article; zbMATH DE number 5080313