@InProceedings{RodriguesSiMaMiDiLu:2016:MuOpAp,
author = "Rodrigues, Douglas Miranda and Silvar, Aneirson Francisco da and
Marins, Fernando Augusto Silva and Miranda, Rafael de Carvalho and
Dias, {\'E}rica Ximenes and Luche, Jos{\'e} Roberto Dale",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and
{Universidade Estadual Paulista (UNESP)} and {Universidade
Estadual Paulista (UNESP)} and {Universidade Federal de
Itajub{\'a} (UNIFEI)} and {Universidade Estadual Paulista
(UNESP)} and {Universidade Estadual Paulista (UNESP)}",
title = "Multiobjective optimization application in doe problems with
multiple responses",
year = "2016",
organization = "International Conference on Nonlinear Science and Complexity, 6.",
keywords = "Epidemiology and Mathematical Models, Modeling, Numerical
Simulation and Optimization, Nonlinear Systems and Neural
Dynamics, Goal Programming, Compromise Programming.",
abstract = "In many areas, from Engineering to Economics, problems present
themselves as multiobjective, which makes a decision-making
process complex. Generally, these are conflicting objectives, and
optimization techniques are necessary to achieve better results.
This paper applies agglutination methods in classical problems of
design of experiments with multiple responses. A theoretical
review was made, and a new method was developed, using Compromise
Programming and Goal Programming, with results comparison and
analysis. The new proposal presented better results when compared
to the traditional approach, qualifying this procedure as an
alternative in multiple responses optimization.",
conference-location = "S{\~a}o Jos{\'e} dos Campos, SP",
conference-year = "16-20 May",
language = "en",
urlaccessdate = "17 maio 2024"
}