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Injecting problem-dependent knowledge to improve evolutionary optimization search ability

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Injecting problem-dependent knowledge to improve evolutionary optimization search ability

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Izquierdo Sebastián, J.; Campbell-Gonzalez, E.; Montalvo Arango, I.; Pérez García, R. (2016). Injecting problem-dependent knowledge to improve evolutionary optimization search ability. Journal of Computational and Applied Mathematics. 291:281-292. doi:10.1016/j.cam.2015.03.019

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/83823

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Title: Injecting problem-dependent knowledge to improve evolutionary optimization search ability
Author: Izquierdo Sebastián, Joaquín Campbell-Gonzalez, Enrique Montalvo Arango, Idel Pérez García, Rafael
UPV Unit: Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros Industriales - Escola Tècnica Superior d'Enginyers Industrials
Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Issued date:
Abstract:
The flexibility introduced by evolutionary algorithms (EAs) has allowed the use of virtually arbitrary objective functions and constraints even when evaluations require, as for real-world problems, running complex mathematical ...[+]
Subjects: Non-standard optimization problem , Evolutionary algorithm , Knowledge-based system , SOM , Water distribution
Copyrigths: Reserva de todos los derechos
Source:
Journal of Computational and Applied Mathematics. (issn: 0377-0427 )
DOI: 10.1016/j.cam.2015.03.019
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.cam.2015.03.019
Type: Artículo

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