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Decision-Making in Complicated Geometrical Problems

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 87 - Number 19
Year of Publication: 2014
Amir Mosavi

Amir Mosavi. Article: Decision-Making in Complicated Geometrical Problems. International Journal of Computer Applications 87(19):22-25, February 2014. Full text available. BibTeX

	author = {Amir Mosavi},
	title = {Article: Decision-Making in Complicated Geometrical Problems},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {87},
	number = {19},
	pages = {22-25},
	month = {February},
	note = {Full text available}


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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