- -

Physical programming for preference driven evolutionary multi-objective optimization

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Physical programming for preference driven evolutionary multi-objective optimization

Show full item record

Reynoso Meza, G.; Sanchís Saez, J.; Blasco Ferragud, FX.; Garcia Nieto, S. (2014). Physical programming for preference driven evolutionary multi-objective optimization. Applied Soft Computing. 24:341-362. doi:10.1016/j.asoc.2014.07.009

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/57265

Files in this item

Item Metadata

Title: Physical programming for preference driven evolutionary multi-objective optimization
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Automática e Informática Industrial - Institut Universitari d'Automàtica i Informàtica Industrial
Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
Preference articulation in multi-objective optimization could be used to improve the pertinency of solutions in an approximated Pareto front. That is, computing the most interesting solutions from the designer's point of ...[+]
Subjects: Multi-objective optimization design procedure , Evolutionary multi-objective optimization , Physical programming , Many-objective optimization , Preference articulation , Decision making
Copyrigths: Reserva de todos los derechos
Source:
Applied Soft Computing. (issn: 1568-4946 ) (eissn: 1872-9681 )
DOI: 10.1016/j.asoc.2014.07.009
Publisher:
Elsevier
Thanks:
This work was partially supported by the FPI-2010/19 grant and the PAID-2011/2732 project from the Universitat Polittccnica de Valencia and the projects TIN2011-28082 and ENE2011-25900 from the Spanish Ministry of Economy ...[+]
Type: Artículo

This item appears in the following Collection(s)

Show full item record