Sánchez Anguix, V.; Valero Cubas, S.; García Fornes, AM. (2011). A genetic approach for long term virtual organization distribution. International Journal on Artificial Intelligence Tools. 20(2):271-295. https://doi.org/10.1142/S0218213011000152
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35920
Título:
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A genetic approach for long term virtual organization distribution
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Autor:
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Sánchez Anguix, Víctor
Valero Cubas, Soledad
García Fornes, Ana María
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Entidad UPV:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
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Fecha difusión:
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Resumen:
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[EN] An agent-based Virtual Organization is a complex entity where dynamic collections of agents agree to share resources in order to accomplish a global goal or offer a complex service. An important problem for the ...[+]
[EN] An agent-based Virtual Organization is a complex entity where dynamic collections of agents agree to share resources in order to accomplish a global goal or offer a complex service. An important problem for the performance of the Virtual Organization is the distribution of the agents across the computational resources. The final distribution should provide a good load balancing for the organization. In this article, a genetic algorithm is applied to calculate a proper distribution across hosts in an agent-based Virtual Organization. Additionally, an abstract multi-agent system architecture which provides infrastructure for Virtual Organization distribution is introduced. The developed genetic solution employs an elitist crossover operator where one of the children inherits the most promising genetic material from the parents with higher probability. In order to validate the genetic proposal, the designed genetic algorithm has been successfully compared to several heuristics in different scenarios. © 2011 World Scientific Publishing Company.
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Palabras clave:
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Genetic algorithms
,
Multi-agent systems
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Virtual organizations
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Agent based
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Complex entities
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Complex services
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Computational resources
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Crossover operator
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Genetic approach
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Genetic materials
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Load-Balancing
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Long term
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Multi-agent system architecture
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Virtual organization
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Computation theory
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Mathematical operators
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Multi agent systems
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Probabilistic logics
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Intelligent agents
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Derechos de uso:
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Reserva de todos los derechos
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Fuente:
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International Journal on Artificial Intelligence Tools. (issn:
0218-2130
)
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DOI:
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10.1142/S0218213011000152
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Editorial:
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World Scientific Publishing
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Versión del editor:
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http://dx.doi.org/10.1142/S0218213011000152
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Título del congreso:
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23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
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Lugar del congreso:
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Cordoba, Spain
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Fecha congreso:
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June 01-04, 2010
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Código del Proyecto:
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info:eu-repo/grantAgreement/MICINN//TIN2008-04446/ES/UNA PLATAFORMA PARA SISTEMAS MULTIAGENTE ABIERTOS/
info:eu-repo/grantAgreement/Generalitat Valenciana//PROMETEO08%2F2008%2F051/ES/Advances on Agreement Technologies for Computational Entities (atforce)/
info:eu-repo/grantAgreement/MICINN//TIN2009-13839-C03-01/ES/Organizaciones Virtuales Adaptativas: Arquitecturas Y Metodos De Desarrollo/
info:eu-repo/grantAgreement/MEC//CSD2007-00022/ES/Agreement Technologies/
info:eu-repo/grantAgreement/MICINN//AP2008-00600/ES/AP2008-00600/
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Descripción:
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Electronic versíon of an article published as International Journal on Artificial Intelligent Tools, Volume 20, issue 2, 2011. 10.1142/S0218213011000152. © World Scientific Publishing Company
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Agradecimientos:
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This work is supported by TIN2008-04446, TIN2009-13839-C03-01, CSD2007-00022 and FPU grant AP2008-00600 of the Spanish government, and PROMETEO 2008/051 of the Generalitat Valenciana.
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Tipo:
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Artículo
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