Una aproximación a la heuristica y metaheuristicas

When we are discussing problems which have an easy space of possible solutions to know, our search is reduced to find an optimal (A high point or a mínimum point ) which gives a solution to the problem once some restrictions were given. However there are complex problems of combinatorial optimizatio...

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Autores:
de Antonio Suárez, Orlando
Tipo de recurso:
Article of journal
Fecha de publicación:
2014
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/3893
Acceso en línea:
http://revistas.uan.edu.co/index.php/ingeuan/article/view/217
http://repositorio.uan.edu.co/handle/123456789/3893
Palabra clave:
Heuristics
Hard Problems
algorithms
best solution
special produceres
Heurísticas
Problemas Duros
Algoritmos
mejores soluciones
procedimientos especiales
Rights
openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
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spelling Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)Acceso abiertohttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2de Antonio Suárez, Orlando2021-06-16T13:52:56Z2021-06-16T13:52:56Z2014-03-04http://revistas.uan.edu.co/index.php/ingeuan/article/view/217http://repositorio.uan.edu.co/handle/123456789/3893When we are discussing problems which have an easy space of possible solutions to know, our search is reduced to find an optimal (A high point or a mínimum point ) which gives a solution to the problem once some restrictions were given. However there are complex problems of combinatorial optimization at various fields like economy, the commerce, the engineering, re-engineering of software, communications, the industry or the medicine, the fact that often they are very difficult from resolving in practice and whose mathematical modeling Formulated coherently it does not allows a solution with the analytical tools near by the hands. Because of that testing the actual complexity generated in the institutions and business world, as the diversity in the phases in which de process of institutional change develops, it becomes necessary the development and use of methods that allow the management of problematic situations from the set of its parts and also from different point of views.  Because of that low performance of the exact algorithms for many problems, there has been developed multiple types of approximated algorithms, that provides high quality solutions for this combinatorial problems (though not necessarily the optimal) in a short computational time, these algorithms include the denominated heuristics techniques and metaheuristics.Cuando abordamos problemas cuyo espacio de posibles soluciones se nos facilita conocer, nuestra búsqueda se reduce a hallar un óptimo (un máximo o un mínimo) que de una solución al problema dadas unas restricciones. Sin embargo existen problemas de optimización combinatoria complejos en diversos campos como la economía, el comercio, la ingeniería, re-ingeniería de software, comunicaciones, la industria o la medicina, que a menudo son muy difíciles de resolver en la práctica y cuyo modelamiento matemático “Formulado coherentemente1 ”, no permite una solución con las herramientas analíticas al alcance. Por eso evaluando la complejidad actual generada en las instituciones y el mundo empresarial, así como la diversidad de fases en que se desarrolla el proceso de cambio institucional, se hace necesario el desarrollo y uso de métodos que permitan el manejo de situaciones problémicas desde el conjunto de sus partes y desde distintos puntos de vista. Debido a ese bajo rendimiento de los algoritmos exactos para muchos problemas, se han desarrollado un gran número de algoritmos aproximados, que proporcionan soluciones de alta calidad para estos problemas combinatorios (aunque no necesariamente la óptima) en un tiempo computacional breve; estos algoritmos incluyen las denominadas técnicas heurísticas y Metaheurísticas.application/pdfspaUniversidad Antonio Nariñohttp://revistas.uan.edu.co/index.php/ingeuan/article/view/217/1792346-14462145-0935INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 1 Núm. 2 (2011)HeuristicsHard Problemsalgorithmsbest solutionspecial produceresHeurísticasProblemas DurosAlgoritmosmejores solucionesprocedimientos especialesUna aproximación a la heuristica y metaheuristicasinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85123456789/3893oai:repositorio.uan.edu.co:123456789/38932024-10-09 23:24:43.474https://creativecommons.org/licenses/by-nc-sa/4.0/Acceso abiertometadata.onlyhttps://repositorio.uan.edu.coRepositorio Institucional UANalertas.repositorio@uan.edu.co
dc.title.es-ES.fl_str_mv Una aproximación a la heuristica y metaheuristicas
title Una aproximación a la heuristica y metaheuristicas
spellingShingle Una aproximación a la heuristica y metaheuristicas
Heuristics
Hard Problems
algorithms
best solution
special produceres
Heurísticas
Problemas Duros
Algoritmos
mejores soluciones
procedimientos especiales
title_short Una aproximación a la heuristica y metaheuristicas
title_full Una aproximación a la heuristica y metaheuristicas
title_fullStr Una aproximación a la heuristica y metaheuristicas
title_full_unstemmed Una aproximación a la heuristica y metaheuristicas
title_sort Una aproximación a la heuristica y metaheuristicas
dc.creator.fl_str_mv de Antonio Suárez, Orlando
dc.contributor.author.spa.fl_str_mv de Antonio Suárez, Orlando
dc.subject.en-US.fl_str_mv Heuristics
Hard Problems
algorithms
best solution
special produceres
topic Heuristics
Hard Problems
algorithms
best solution
special produceres
Heurísticas
Problemas Duros
Algoritmos
mejores soluciones
procedimientos especiales
dc.subject.es-ES.fl_str_mv Heurísticas
Problemas Duros
Algoritmos
mejores soluciones
procedimientos especiales
description When we are discussing problems which have an easy space of possible solutions to know, our search is reduced to find an optimal (A high point or a mínimum point ) which gives a solution to the problem once some restrictions were given. However there are complex problems of combinatorial optimization at various fields like economy, the commerce, the engineering, re-engineering of software, communications, the industry or the medicine, the fact that often they are very difficult from resolving in practice and whose mathematical modeling Formulated coherently it does not allows a solution with the analytical tools near by the hands. Because of that testing the actual complexity generated in the institutions and business world, as the diversity in the phases in which de process of institutional change develops, it becomes necessary the development and use of methods that allow the management of problematic situations from the set of its parts and also from different point of views.  Because of that low performance of the exact algorithms for many problems, there has been developed multiple types of approximated algorithms, that provides high quality solutions for this combinatorial problems (though not necessarily the optimal) in a short computational time, these algorithms include the denominated heuristics techniques and metaheuristics.
publishDate 2014
dc.date.issued.spa.fl_str_mv 2014-03-04
dc.date.accessioned.none.fl_str_mv 2021-06-16T13:52:56Z
dc.date.available.none.fl_str_mv 2021-06-16T13:52:56Z
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coarversion.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
format http://purl.org/coar/resource_type/c_6501
status_str publishedVersion
dc.identifier.none.fl_str_mv http://revistas.uan.edu.co/index.php/ingeuan/article/view/217
dc.identifier.uri.none.fl_str_mv http://repositorio.uan.edu.co/handle/123456789/3893
url http://revistas.uan.edu.co/index.php/ingeuan/article/view/217
http://repositorio.uan.edu.co/handle/123456789/3893
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv http://revistas.uan.edu.co/index.php/ingeuan/article/view/217/179
dc.rights.none.fl_str_mv Acceso abierto
dc.rights.license.spa.fl_str_mv Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Acceso abierto
https://creativecommons.org/licenses/by-nc-sa/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad Antonio Nariño
dc.source.none.fl_str_mv 2346-1446
2145-0935
dc.source.es-ES.fl_str_mv INGE@UAN - TENDENCIAS EN LA INGENIERÍA; Vol. 1 Núm. 2 (2011)
institution Universidad Antonio Nariño
repository.name.fl_str_mv Repositorio Institucional UAN
repository.mail.fl_str_mv alertas.repositorio@uan.edu.co
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