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New Modified Function Method for Global Optimization.
- Source :
- Journal of Optimization Theory & Applications; Apr2005, Vol. 125 Issue 1, p181-203, 23p, 4 Charts, 1 Graph
- Publication Year :
- 2005
-
Abstract
- In this paper, a class of global optimization problems is considered. Corresponding to each local minimizer obtained, we introduced a new modified function and construct a corresponding optimization subproblem with one constraint. Then, by applying a local search method to the one-constraint optimization subproblem and using the local minimizer as the starting point, we obtain a better local optimal solution. This process is continued iteratively. A termination rule is obtained which can serve as stopping criterion for the iterating process. To demonstrate the efficiency of the proposed approach, numerical examples are solved. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00223239
- Volume :
- 125
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Optimization Theory & Applications
- Publication Type :
- Academic Journal
- Accession number :
- 17037545
- Full Text :
- https://doi.org/10.1007/s10957-004-1718-2