- Title
- Global solutions to a class of CEC benchmark constrained optimization problems
- Creator
- Zhou, Xiaojun; Gao, David; Yang, Chunhua
- Date
- 2016
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/100713
- Identifier
- vital:10590
- Identifier
-
https://doi.org/10.1007/s11590-014-0784-0
- Identifier
- ISSN:1862-4472
- Abstract
- This paper aims to solve a class of CEC benchmark constrained optimization problems that have been widely studied by nature-inspired optimization algorithms. Based on canonical duality theory, these challenging problems can be reformulated as a unified canonical dual problem over a convex set, which can be solved deterministically to obtain global optimal solutions in polynomial time. Applications are illustrated by some well-known CEC benchmark problems, and comparisons with other methods have demonstrated the effectiveness of the proposed approach. © 2014, Springer-Verlag Berlin Heidelberg.
- Publisher
- Springer Verlag
- Relation
- Optimization Letters Vol. 10, no. 3 (2016), p. 457-472
- Rights
- Copyright © 2014, Springer-Verlag Berlin Heidelberg.
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0102 Applied Mathematics; 0103 Numerical and Computational Mathematics; Canonical duality theory; CEC benchmark; Constrained optimization; Global optimization
- Full Text
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