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Reseach Article

Decision-Making in Complicated Geometrical Problems

by Amir Mosavi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 87 - Number 19
Year of Publication: 2014
Authors: Amir Mosavi

Amir Mosavi . Decision-Making in Complicated Geometrical Problems. International Journal of Computer Applications. 87, 19 ( February 2014), 22-25. DOI=10.5120/15460-4057

@article{ 10.5120/15460-4057,
author = { Amir Mosavi },
title = { Decision-Making in Complicated Geometrical Problems },
journal = { International Journal of Computer Applications },
issue_date = { February 2014 },
volume = { 87 },
number = { 19 },
month = { February },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-25 },
numpages = {9},
url = { },
doi = { 10.5120/15460-4057 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T22:06:21.667135+05:30
%A Amir Mosavi
%T Decision-Making in Complicated Geometrical Problems
%J International Journal of Computer Applications
%@ 0975-8887
%V 87
%N 19
%P 22-25
%D 2014
%I Foundation of Computer Science (FCS), NY, USA

Due to increasing the number of decision-making criteria in today's ever complicated geometrical optimization problems, the traditional multiobjective optimization approaches, whether a priori, a posteriori or interactive's, found to be insufficient and ineffective. In this paper the drawbacks of the current algorithms are reviewed and the urgent need for inserting a learning component in the optimization loop is discussed. In the following the methodology of reactive optimization for evolutionary interactive multiobjective optimization for solving complicated geometrical decision-making problems is adopted. The proposed brain-computer optimization follows to the paradigm of learning while optimizing, through the use of online machine learning techniques as an integral part of a self-tuning optimization scheme. At the end the effectiveness of the approach to geometrical problems is emphasized by providing the study case of optimal design problem of curves and surfaces.

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Index Terms

Computer Science
Information Sciences


Decision-making geometry optimization