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Decision Making Graphical Tool for Multiobjective Optimization Problems.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Rangan, C. Pandu
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Mira, José
Álvarez, José R.
Blasco, X.
Herrero, J. M.
Sanchis, J.
Source :
Bio-inspired Modeling of Cognitive Tasks; 2007, p568-577, 10p
Publication Year :
2007

Abstract

Multiobjective optimization problems have become an important issue at many engineering problems. A tradeoff between several design criteria is required and important efforts are made for the development of Multiobjective Optimization Techniques and, in particular, Evolutionary Multiobjective Optimization. Usually these algorithms produce a set of optimum solutions in Pareto sense, there is not a unique solution. The designer (Decision Maker) has to finally select one solution for each particular problem, then he has to select from a set of Pareto solutions, the most adequate solution according to his preferences. It is widely accepted that visualization tools are valuable tools to provide the Decision Maker (DM) with a meaningful way to analyze Pareto set and then to help to select an adequate solution. This work describes a new graphical way to represent high dimensional and large sets of Pareto solutions, allowing an easier analysis, and helping the DM to select an adequate solution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540730521
Database :
Supplemental Index
Journal :
Bio-inspired Modeling of Cognitive Tasks
Publication Type :
Book
Accession number :
33214151
Full Text :
https://doi.org/10.1007/978-3-540-73053-8_57