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An efficient ant colony optimization strategy for the resolution of multi-class queries

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An efficient ant colony optimization strategy for the resolution of multi-class queries

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Krynicki, K.; Houle, ME.; Jaén Martínez, FJ. (2016). An efficient ant colony optimization strategy for the resolution of multi-class queries. Knowledge-Based Systems. 105:96-106. https://doi.org/10.1016/j.knosys.2016.05.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/84305

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Title: An efficient ant colony optimization strategy for the resolution of multi-class queries
Author: Krynicki, Kami Houle, Michael E. Jaén Martínez, Francisco Javier
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
Ant Colony Optimization is a bio-inspired computational technique for establishing optimal paths in graphs. It has been successfully adapted to solve many classical computational problems, with considerable results. ...[+]
Subjects: Ant colony optimization , Multi-class queries , Resource queries , Multipheromone
Copyrigths: Cerrado
Source:
Knowledge-Based Systems. (issn: 0950-7051 )
DOI: 10.1016/j.knosys.2016.05.009
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.knosys.2016.05.009
Project ID:
info:eu-repo/grantAgreement/MINECO//TIN2014-60077-R/ES/SISTEMA DE TERAPIAS DE JUEGO BASADO EN SUPERFICIES INTERACTIVAS PARA LA MEJORA DEL IMPACTO EMOCIONAL DERIVADO DE LA HOSPITALIZACION PEDIATRICA/
Thanks:
Kamil Krynicki is a FPI fellow of Universitat Politecnica de Valencia, number 3117. This work received support from Spanish Ministry of Economy and Competitiveness and European Development Regional Fund (EDRF-FEDER) with ...[+]
Type: Artículo

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