A similarity-based surrogate model for enhanced performance in genetic algorithms
type: Item
instance of: scholarly article
title: A similarity-based surrogate model for enhanced performance in genetic algorithms
zbMATH Open document ID: 1190.90288
published in: Opsearch
publication date: 2010-06-29T00:00:00Z
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 5728361
zbMATH Keywords: surrogate models
zbMATH Keywords: metamodels
zbMATH Keywords: genetic algorithms
zbMATH Keywords: nearest neighbors approximation
author: Leonardo G. Fonseca
author: Helio J. C. Barbosa
author: Afonso C. C. Lemonge
MaRDI profile type: Publication
full work available at URL: s12597-009-0006-1
OpenAlex ID: W2083692504
cites work: Q4692508
cites work: Q4079017
cites work: Q3627272
cites work: Application-driven sequential designs for simulation experiments: Kriging metamodelling
cites work: Generalized sampling: a variational approach .I. Theory
cites work: Generalized sampling: a variational approach .II. Applications
cites work: Learning and soft computing. Support vector machines, neural networks, and fuzzy logic models
cites work: An efficient constraint handling method for genetic algorithms
cites work: A methodology for fitting and validating metamodels in simulation
DOI: 10.1007/S12597-009-0006-1
description: scientific article; zbMATH DE number 5728361