- Title
- Nonsmooth and derivative-free optimization based hybrid methods and applications
- Creator
- Long, Qiang
- Date
- 2014
- Type
- Text; Thesis; PhD
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/101826
- Identifier
- vital:10725
- Identifier
- http://library.federation.edu.au/record=b2670972
- Abstract
- "In this thesis, we develop hybrid methods for solving global and in particular, nonsmooth optimization problems. Hybrid methods are becoming more popular in global optimization since they allow to apply powerful smooth optimization techniques to solve global optimization problems. Such methods are able to efficiently solve global optimization problems with large number of variables. To date global search algorithms have been mainly applied to improve global search properties of the local search methods (including smooth optimization algorithms). In this thesis we apply rather different strategy to design hybrid methods. We use local search algorithms to improve the efficiency of global search methods. The thesis consists of two parts. In the first part we describe hybrid algorithms and in the second part we consider their various applications." -- taken from Abstract.; Operational Research and Cybernetics
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Mathematical optimization; Nonsmooth optimization; Algorithms
- Full Text
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| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Australian Digital Thesis | 1 MB | Adobe Acrobat PDF | View Details Download |