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A diffusion-based ACO resource discovery framework for dynamic p2p networks

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A diffusion-based ACO resource discovery framework for dynamic p2p networks

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Krynicki, KK.; Jaén Martínez, FJ.; Catalá Bolós, A. (2013). A diffusion-based ACO resource discovery framework for dynamic p2p networks. En 2013 IEEE Congress on Evolutionary Computation. IEEE. 860-867. doi:10.1109/CEC.2013.6557658

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/67330

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Title: A diffusion-based ACO resource discovery framework for dynamic p2p networks
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Issued date:
Abstract:
The Ant Colony Optimization (ACO) has been a very resourceful metaheuristic over the past decade and it has been successfully used to approximately solve many static NP-Hard problems. There is a limit, however, of its ...[+]
Subjects: ACO , Ant Colony Optimization , Overlay networks , Semantic search , Semantic networks , P2P
Copyrigths: Reserva de todos los derechos
ISBN: 978-1-4799-0452-5
Source:
2013 IEEE Congress on Evolutionary Computation. (issn: 1089-778X )
DOI: 10.1109/CEC.2013.6557658
Publisher:
IEEE
Publisher version: http://dx.doi.org/10.1109/CEC.2013.6557658
Conference name: IEEE Congress on Evolutionary Computation (CEC 2013)
Conference place: Cancún, México
Conference date: June, 20-23, 2013
Description: © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
Type: Capítulo de libro Comunicación en congreso

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