- Title
- A new auxiliary function method for general constrained global optimization
- Creator
- Wu, Zhiyou; Bai, Fusheng; Yang, Yongjian; Mammadov, Musa
- Date
- 2013
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/42487
- Identifier
- vital:5097
- Identifier
-
https://doi.org/10.1080/02331934.2011.571258
- Identifier
- ISSN:0233-1934
- Abstract
- In this article, we first propose a method to obtain an approximate feasible point for general constrained global optimization problems (with both inequality and equality constraints). Then we propose an auxiliary function method to obtain a global minimizer or an approximate global minimizer with a required precision for general global optimization problems by locally solving some unconstrained programming problems. Some numerical examples are reported to demonstrate the efficiency of the present optimization method. © 2013 Taylor & Francis.
- Relation
- Optimization Vol. 62, no. 2 (2013), p. 193-210
- Rights
- Copyright 2013 Taylor & Francis
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0102 Applied Mathematics; 0103 Numerical and Computational Mathematics; Auxiliary function method; General constrained global optimization
- Full Text
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