Title :
Visual Optimization with Domain Reduction
Author :
Sun, M. ; Webb, K.
Author_Institution :
Dept. of Math., Alabama Univ., Tuscaloosa, AL
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;
Conference_Titel :
System Theory, 2007. SSST '07. Thirty-Ninth Southeastern Symposium on
Conference_Location :
Macon, GA
Print_ISBN :
1-4244-1126-2
Electronic_ISBN :
0094-2898
DOI :
10.1109/SSST.2007.352371
