A parametric framework for cooperative parallel local search

ABSTRACT: In this paper we address the problem of parallelizing local search. We propose a general framework where different local search engines cooperate (through communication) in the quest for a solution. Several parameters allow the user to instantiate and customize the framework, like the degr...

Full description

Autores:
Múnera Ramírez, Danny Alexandro
Abreu, Salvador
Díaz, Daniel
Codognet, Philippe
Tipo de recurso:
Part of book
Fecha de publicación:
2014
Institución:
Universidad de Antioquia
Repositorio:
Repositorio UdeA
Idioma:
eng
OAI Identifier:
oai:bibliotecadigital.udea.edu.co:10495/34436
Acceso en línea:
https://hdl.handle.net/10495/34436
Palabra clave:
Espacio de búsqueda
Search Space
Búsqueda local
Local Search
Nodo explorador
Explorer Node
Método de búsqueda local
Local Search Method
Constraint Satisfaction Problem
Problema de satisfacción de restricciones
Rights
openAccess
License
http://creativecommons.org/licenses/by/2.5/co/
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network_acronym_str UDEA2
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repository_id_str
dc.title.spa.fl_str_mv A parametric framework for cooperative parallel local search
title A parametric framework for cooperative parallel local search
spellingShingle A parametric framework for cooperative parallel local search
Espacio de búsqueda
Search Space
Búsqueda local
Local Search
Nodo explorador
Explorer Node
Método de búsqueda local
Local Search Method
Constraint Satisfaction Problem
Problema de satisfacción de restricciones
title_short A parametric framework for cooperative parallel local search
title_full A parametric framework for cooperative parallel local search
title_fullStr A parametric framework for cooperative parallel local search
title_full_unstemmed A parametric framework for cooperative parallel local search
title_sort A parametric framework for cooperative parallel local search
dc.creator.fl_str_mv Múnera Ramírez, Danny Alexandro
Abreu, Salvador
Díaz, Daniel
Codognet, Philippe
dc.contributor.author.none.fl_str_mv Múnera Ramírez, Danny Alexandro
Abreu, Salvador
Díaz, Daniel
Codognet, Philippe
dc.contributor.researchgroup.spa.fl_str_mv Intelligent Information Systems Lab.
dc.subject.proposal.spa.fl_str_mv Espacio de búsqueda
Search Space
Búsqueda local
Local Search
Nodo explorador
Explorer Node
Método de búsqueda local
Local Search Method
Constraint Satisfaction Problem
Problema de satisfacción de restricciones
topic Espacio de búsqueda
Search Space
Búsqueda local
Local Search
Nodo explorador
Explorer Node
Método de búsqueda local
Local Search Method
Constraint Satisfaction Problem
Problema de satisfacción de restricciones
description ABSTRACT: In this paper we address the problem of parallelizing local search. We propose a general framework where different local search engines cooperate (through communication) in the quest for a solution. Several parameters allow the user to instantiate and customize the framework, like the degree of intensification and diversification. We implemented a prototype in the X10 programming language based on the adaptive search method. We decided to use X10 in order to benefit from its ease of use and the architectural independence from parallel resources which it offers. Initial experiments prove the approach to be successful, as it outperforms previous systems as the number of processes increases.
publishDate 2014
dc.date.issued.none.fl_str_mv 2014
dc.date.accessioned.none.fl_str_mv 2023-04-02T20:40:08Z
dc.date.available.none.fl_str_mv 2023-04-02T20:40:08Z
dc.type.spa.fl_str_mv Capítulo de libro
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_3248
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/CAP_LIB
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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status_str publishedVersion
dc.identifier.citation.spa.fl_str_mv Munera, D., Diaz, D., Abreu, S., Codognet, P. (2014). A Parametric Framework for Cooperative Parallel Local Search. In: Blum, C., Ochoa, G. (eds) Evolutionary Computation in Combinatorial Optimisation. EvoCOP 2014. Lecture Notes in Computer Science, vol 8600. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44320-0_2
dc.identifier.issn.none.fl_str_mv 0302-9743
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/10495/34436
dc.identifier.doi.none.fl_str_mv 10.1007/978-3-662-44320-0_2
dc.identifier.eissn.none.fl_str_mv 1611-3349
identifier_str_mv Munera, D., Diaz, D., Abreu, S., Codognet, P. (2014). A Parametric Framework for Cooperative Parallel Local Search. In: Blum, C., Ochoa, G. (eds) Evolutionary Computation in Combinatorial Optimisation. EvoCOP 2014. Lecture Notes in Computer Science, vol 8600. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44320-0_2
0302-9743
10.1007/978-3-662-44320-0_2
1611-3349
url https://hdl.handle.net/10495/34436
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartofjournalabbrev.spa.fl_str_mv Lect. Notes Comput. Sci.
dc.relation.citationendpage.spa.fl_str_mv 24
dc.relation.citationstartpage.spa.fl_str_mv 13
dc.relation.citationvolume.spa.fl_str_mv 8600
dc.relation.ispartofjournal.spa.fl_str_mv Lecture Notes in Computer Science
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by/2.5/co/
dc.rights.uri.spa.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 12
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Springer
dc.publisher.place.spa.fl_str_mv Berlín, Alemania
dc.publisher.faculty.spa.fl_str_mv sin facultad - programa
institution Universidad de Antioquia
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spelling Múnera Ramírez, Danny AlexandroAbreu, SalvadorDíaz, DanielCodognet, PhilippeIntelligent Information Systems Lab.2023-04-02T20:40:08Z2023-04-02T20:40:08Z2014Munera, D., Diaz, D., Abreu, S., Codognet, P. (2014). A Parametric Framework for Cooperative Parallel Local Search. In: Blum, C., Ochoa, G. (eds) Evolutionary Computation in Combinatorial Optimisation. EvoCOP 2014. Lecture Notes in Computer Science, vol 8600. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44320-0_20302-9743https://hdl.handle.net/10495/3443610.1007/978-3-662-44320-0_21611-3349ABSTRACT: In this paper we address the problem of parallelizing local search. We propose a general framework where different local search engines cooperate (through communication) in the quest for a solution. Several parameters allow the user to instantiate and customize the framework, like the degree of intensification and diversification. We implemented a prototype in the X10 programming language based on the adaptive search method. We decided to use X10 in order to benefit from its ease of use and the architectural independence from parallel resources which it offers. Initial experiments prove the approach to be successful, as it outperforms previous systems as the number of processes increases.COL002593412application/pdfengSpringerBerlín, Alemaniasin facultad - programahttp://creativecommons.org/licenses/by/2.5/co/https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2A parametric framework for cooperative parallel local searchCapítulo de librohttp://purl.org/coar/resource_type/c_3248https://purl.org/redcol/resource_type/CAP_LIBhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionEspacio de búsquedaSearch SpaceBúsqueda localLocal SearchNodo exploradorExplorer NodeMétodo de búsqueda localLocal Search MethodConstraint Satisfaction ProblemProblema de satisfacción de restriccionesLect. Notes Comput. 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