Evolutionary algorithms in noisy environments: theoretical issues and guidelines for practise.
type: Item
instance of: scholarly article
title: Evolutionary algorithms in noisy environments: theoretical issues and guidelines for practise.
zbMATH Open document ID: 1064.90574
DOI: 10.1016/S0045-7825(99)00386-2
author: Hans-Georg Beyer
published in: Computer Methods in Applied Mechanics and Engineering
publication date: 2000-01-01T00:00:00Z
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 1488510
zbMATH Keywords: Evolutionary algorithms (GA, ES, EP)
zbMATH Keywords: Noisy fitness data
zbMATH Keywords: Convergence properties
zbMATH Keywords: Optimization under noise
zbMATH Keywords: Convergence improvement techniques
zbMATH Keywords: Self-adaptation
MaRDI profile type: Publication
cites work: Q4934633
cites work: Q3355255
cites work: Q4692508
cites work: Q4022658
cites work: Q4166615
cites work: Q4304868
cites work: Q3883956
full work available at URL: s0045-7825(99)00386-2
OpenAlex ID: W2028335093
description: scientific article; zbMATH DE number 1488510