- Title
- A filled function method for constrained global optimization
- Creator
- Wu, Zhiyou; Bai, Fusheng; Lee, Heung; Yang, Yongjian
- Date
- 2007
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/61021
- Identifier
- vital:952
- Identifier
-
https://doi.org/10.1007/s10898-007-9152-2
- Identifier
- ISSN:0925-5001
- Abstract
- In this paper, a filled function method for solving constrained global optimization problems is proposed. A filled function is proposed for escaping the current local minimizer of a constrained global optimization problem by combining the idea of filled function in unconstrained global optimization and the idea of penalty function in constrained optimization. Then a filled function method for obtaining a global minimizer or an approximate global minimizer of the constrained global optimization problem is presented. Some numerical results demonstrate the efficiency of this global optimization method for solving constrained global optimization problems. © 2007 Springer Science+Business Media, Inc.; C1
- Publisher
- Springer
- Relation
- Journal of Global Optimization Vol. 39, no. 4 (2007), p. 495-507
- Rights
- Copyright Springer
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0802 Computation Theory and Mathematics; Constrained global optimization; Filled function; Filled function method; Approximation theory; Computational efficiency; Constrained optimisation; Function evaluation; Penalty functions; Global optimization
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