Distribution-based adaptive bounding genetic algorithm for continuous optimisation problems
type: Item
instance of: scholarly article
title: Distribution-based adaptive bounding genetic algorithm for continuous optimisation problems
zbMATH Open document ID: 1117.65091
author: Jian-Xun Peng
author: Kang Li
author: Steve Thompson
author: Peter A. Wieringa
published in: Applied Mathematics and Computation
publication date: 2007-03-27T00:00:00Z
Mathematics Subject Classification ID: 65K05
Mathematics Subject Classification ID: 90C30
Mathematics Subject Classification ID: 90C15
zbMATH DE Number: 5137774
zbMATH Keywords: genetic algorithms
zbMATH Keywords: adaptive bounding
zbMATH Keywords: continuous optimisation problems
zbMATH Keywords: convergence
zbMATH Keywords: robustness
zbMATH Keywords: numerical examples
zbMATH Keywords: comparison of methods
zbMATH Keywords: parameter space size adjustment
zbMATH Keywords: successive zooming genetic algorithm
zbMATH Keywords: ill-posed problems
describes a project that uses: GAToolBox
MaRDI profile type: Publication
full work available at URL: j.amc.2006.07.022
OpenAlex ID: W2023510399
cites work: Q2704801
cites work: Q4664809
cites work: Q4692508
cites work: Genetic algorithms. Concepts and designs
cites work: A hybrid genetic algorithm for estimating the optimal time scale of linear systems approximations using Laguerre models
cites work: An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization
DOI: 10.1016/J.AMC.2006.07.022
description: scientific article; zbMATH DE number 5137774