A criteria to select genetic operators for solving CSP

Our interest is to define evolutionary algorithms to solve Constraint Satisfaction Problems (CSP), which indlude benefits of taditional resolution methods of CSPs as well as inherent characteristics of these kind of problems. In this paper we propose a criterion to be able to evaluate the perfomance...

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Autor principal: Riff Rojas, María Cristina
Formato: Articulo
Lenguaje:Inglés
Publicado: 2000
Materias:
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/9386
http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/acriteria.pdf
Aporte de:
id I19-R120-10915-9386
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Algorithms
Optimization
evolutionary algorithms; constraint satisfaction; specialized genetics operators
spellingShingle Ciencias Informáticas
Algorithms
Optimization
evolutionary algorithms; constraint satisfaction; specialized genetics operators
Riff Rojas, María Cristina
A criteria to select genetic operators for solving CSP
topic_facet Ciencias Informáticas
Algorithms
Optimization
evolutionary algorithms; constraint satisfaction; specialized genetics operators
description Our interest is to define evolutionary algorithms to solve Constraint Satisfaction Problems (CSP), which indlude benefits of taditional resolution methods of CSPs as well as inherent characteristics of these kind of problems. In this paper we propose a criterion to be able to evaluate the perfomance of genetic operators within evolutionary algorithms that solve CSp.
format Articulo
Articulo
author Riff Rojas, María Cristina
author_facet Riff Rojas, María Cristina
author_sort Riff Rojas, María Cristina
title A criteria to select genetic operators for solving CSP
title_short A criteria to select genetic operators for solving CSP
title_full A criteria to select genetic operators for solving CSP
title_fullStr A criteria to select genetic operators for solving CSP
title_full_unstemmed A criteria to select genetic operators for solving CSP
title_sort criteria to select genetic operators for solving csp
publishDate 2000
url http://sedici.unlp.edu.ar/handle/10915/9386
http://journal.info.unlp.edu.ar/wp-content/uploads/2015/papers_02/acriteria.pdf
work_keys_str_mv AT riffrojasmariacristina acriteriatoselectgeneticoperatorsforsolvingcsp
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