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Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis

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Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis

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Blasco Ferragud, FX.; Reynoso Meza, G.; Sánchez Pérez, EA.; Sánchez Pérez, JV. (2016). Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis. Information Sciences. 340:228-249. doi:10.1016/j.ins.2015.12.039

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/83360

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Title: Asymmetric distances to improve n-dimensional Pareto fronts graphical analysis
Author:
UPV Unit: Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - Institut Universitari de Matemàtica Pura i Aplicada
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
isualization tools and techniques to analyze n-dimensional Pareto fronts are valuable for designers and decision makers in order to analyze straightness and drawbacks among design alternatives. Their usefulness is twofold: ...[+]
Subjects: Multi-criteria decision-making , Asymmetric distance , Multi-objective optimization , Decision-making tools , N-dimensional Pareto front , N-dimensional Pareto front visualization
Copyrigths: Reserva de todos los derechos
Source:
Information Sciences. (issn: 0020-0255 ) (eissn: 1872-6291 )
DOI: 10.1016/j.ins.2015.12.039
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.ins.2015.12.039
Thanks:
This work was partially supported by EVO-CONTROL project (ref. PROMETEO/2012/028, Generalitat Valenciana - Spain) and the National Council of Scientific and Technologic Development of Brazil (CNPq) with the postdoctoral ...[+]
Type: Artículo

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