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A genetic approach for long term virtual organization distribution

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A genetic approach for long term virtual organization distribution

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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. doi:10.1142/S0218213011000152

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/35920

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Title: A genetic approach for long term virtual organization distribution
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
[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 ...[+]
Subjects: Genetic algorithms , Multi-agent systems , Virtual organizations , Agent based , Complex entities , Complex services , Computational resources , Crossover operator , Genetic approach , Genetic materials , Load-Balancing , Long term , Multi-agent system architecture , Virtual organization , Computation theory , Mathematical operators , Multi agent systems , Probabilistic logics , Intelligent agents
Copyrigths: Reserva de todos los derechos
Source:
International Journal on Artificial Intelligence Tools. (issn: 0218-2130 )
DOI: 10.1142/S0218213011000152
Publisher:
World Scientific Publishing
Publisher version: http://dx.doi.org/10.1142/S0218213011000152
Conference name: 23rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
Conference place: Cordoba, Spain
Conference date: June 01-04, 2010
Description: 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
Thanks:
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.
Type: Artículo

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