Autor(es):
Costa, L. 
; Espírito Santo, I. A. C. P. ; Oliveira, Pedro
Data: 2011
Identificador Persistente: http://hdl.handle.net/1822/15517
Origem: RepositóriUM - Universidade do Minho
Detalhes do Documento
Uncertainty on multi-objective optimization problems
Descrição
In general, parameters in multi-objective optimization are assumed as deterministic with no uncertainty. However, uncertainty in the parameters can affect both variable and objective spaces. The corresponding Pareto optimal fronts, resulting from the disturbed problem, define a cloud of curves. In this work, the main objective is to study the resulting cloud of curves in order to identify regions of more robustness and, therefore, to assist the decision making process. Preliminary results, for a very limited set of problems, show that the resulting cloud of curves exhibits regions of less variation, which are, therefore, more robust to parameter uncertainty.
In general, parameters in multi-objective optimization are assumed as deterministic with no uncertainty. However, uncertainty in the parameters can affect both variable and objective spaces. The corresponding Pareto optimal fronts, resulting from the disturbed problem, define a cloud of curves. In this work, the main objective is to study the resulting cloud of curves in order to identify regions of more robustness and, therefore, to assist the decision making process. Preliminary results, for a very limited set of problems, show that the resulting cloud of curves exhibits regions of less variation, which are, therefore, more robust to parameter uncertainty.
Tipo de Documento
Parte ou capítulo de livro
Idioma Inglês
Idioma Inglês
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