An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification.
type: Item
instance of: scholarly article
title: An empirical study of impact of crossover operators on the performance of non-binary genetic algorithm based neural approaches for classification.
zbMATH Open document ID: 1197.62069
DOI: 10.1016/S0305-0548(02)00229-0
author: Parag C. Pendharkar
author: James A. Rodger
published in: Computers \& Operations Research
publication date: 2004-03-14T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62M45
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 2055438
zbMATH Keywords: Neural networks
zbMATH Keywords: Discriminant analysis
zbMATH Keywords: Genetic algorithms
MaRDI profile type: Publication
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full work available at URL: s0305-0548(02)00229-0
OpenAlex ID: W1964551216
description: scientific article; zbMATH DE number 2055438