Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
type: Item
instance of: scholarly article
title: Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms
zbMATH Open document ID: 1301.90049
author: Carlos R. García-Alonso
author: Leonor M. Pérez-Naranjo
author: Juan C. Fernández-Caballero
published in: Annals of Operations Research
publication date: 2014-11-26T00:00:00Z
Mathematics Subject Classification ID: 90B50
Mathematics Subject Classification ID: 90C59
zbMATH DE Number: 6374085
zbMATH Keywords: multiobjective evolutionary algorithms
zbMATH Keywords: spatial analysis
zbMATH Keywords: local indicators of spatial aggregation
zbMATH Keywords: fuzzy hot-spots
zbMATH Keywords: financially compromised areas
describes a project that uses: NBI
describes a project that uses: SPEA2
MaRDI profile type: Publication
full work available at URL: s10479-011-0841-3
OpenAlex ID: W2060300932
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DOI: 10.1007/S10479-011-0841-3
description: scientific article; zbMATH DE number 6374085