DocumentCode
2428002
Title
Visual Optimization with Domain Reduction
Author
Sun, M. ; Webb, K.
Author_Institution
Dept. of Math., Alabama Univ., Tuscaloosa, AL
fYear
2007
fDate
4-6 March 2007
Firstpage
305
Lastpage
309
Abstract
Presented in this article is a visual aid approach in solving unconstrained optimization problems over bounded domains with or without any standard optimization algorithms. No explicit information about the problem is needed except for the values of the objective function. A reasonable estimate of a global solution is usually found quickly.
Keywords
optimisation; search problems; domain reduction; objective function; unconstrained optimization problem; visual optimization; Artificial neural networks; Constraint optimization; Least squares methods; Mathematics; Optimization methods; Parameter estimation; Simulated annealing; Stochastic processes; Sun; Visualization; Optimization; Reduction; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory, 2007. SSST '07. Thirty-Ninth Southeastern Symposium on
Conference_Location
Macon, GA
ISSN
0094-2898
Print_ISBN
1-4244-1126-2
Electronic_ISBN
0094-2898
Type
conf
DOI
10.1109/SSST.2007.352371
Filename
4160857
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