Evolutionary algorithm for state encoding

Autores
Skliarova, Iouliia; Sklyarov, Valery
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
This paper presents an encoding technique that is common for many different logic synthesis problems. It enables us to construct a system of Boolean functions, and then to decompose this system into sub-systems in such a way that a dependency of functions, included into each sub-system, on the respective arguments is reduced. For complex applications such type of encoding has a high computational complexity and the paper proposes a novel evolutionary algorithm for the solution of this problem
IFIP International Conference on Artificial Intelligence in Theory and Practice - Evolutionary Computation
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
encoding technique
logic synthesis problems
evolutionary algorithm
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/23913

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network_name_str SEDICI (UNLP)
spelling Evolutionary algorithm for state encodingSkliarova, IouliiaSklyarov, ValeryCiencias Informáticasencoding techniquelogic synthesis problemsevolutionary algorithmThis paper presents an encoding technique that is common for many different logic synthesis problems. It enables us to construct a system of Boolean functions, and then to decompose this system into sub-systems in such a way that a dependency of functions, included into each sub-system, on the respective arguments is reduced. For complex applications such type of encoding has a high computational complexity and the paper proposes a novel evolutionary algorithm for the solution of this problemIFIP International Conference on Artificial Intelligence in Theory and Practice - Evolutionary ComputationRed de Universidades con Carreras en Informática (RedUNCI)2006-08info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23913enginfo:eu-repo/semantics/altIdentifier/isbn/0-387-34654-6info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-17T09:39:03Zoai:sedici.unlp.edu.ar:10915/23913Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-17 09:39:04.168SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Evolutionary algorithm for state encoding
title Evolutionary algorithm for state encoding
spellingShingle Evolutionary algorithm for state encoding
Skliarova, Iouliia
Ciencias Informáticas
encoding technique
logic synthesis problems
evolutionary algorithm
title_short Evolutionary algorithm for state encoding
title_full Evolutionary algorithm for state encoding
title_fullStr Evolutionary algorithm for state encoding
title_full_unstemmed Evolutionary algorithm for state encoding
title_sort Evolutionary algorithm for state encoding
dc.creator.none.fl_str_mv Skliarova, Iouliia
Sklyarov, Valery
author Skliarova, Iouliia
author_facet Skliarova, Iouliia
Sklyarov, Valery
author_role author
author2 Sklyarov, Valery
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
encoding technique
logic synthesis problems
evolutionary algorithm
topic Ciencias Informáticas
encoding technique
logic synthesis problems
evolutionary algorithm
dc.description.none.fl_txt_mv This paper presents an encoding technique that is common for many different logic synthesis problems. It enables us to construct a system of Boolean functions, and then to decompose this system into sub-systems in such a way that a dependency of functions, included into each sub-system, on the respective arguments is reduced. For complex applications such type of encoding has a high computational complexity and the paper proposes a novel evolutionary algorithm for the solution of this problem
IFIP International Conference on Artificial Intelligence in Theory and Practice - Evolutionary Computation
Red de Universidades con Carreras en Informática (RedUNCI)
description This paper presents an encoding technique that is common for many different logic synthesis problems. It enables us to construct a system of Boolean functions, and then to decompose this system into sub-systems in such a way that a dependency of functions, included into each sub-system, on the respective arguments is reduced. For complex applications such type of encoding has a high computational complexity and the paper proposes a novel evolutionary algorithm for the solution of this problem
publishDate 2006
dc.date.none.fl_str_mv 2006-08
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info:eu-repo/semantics/publishedVersion
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/0-387-34654-6
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
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