arXiv · 1105.2270
A Simple But Effective Canonical Dual Theory Unified Algorithm for Global Optimization
Abstract
Numerical global optimization methods are often very time consuming and could not be applied for high-dimensional nonconvex/nonsmooth optimization problems. Due to the nonconvexity/nonsmoothness, directly solving the primal problems sometimes is very difficult. This paper presents a very simple but very effective canonical duality theory (CDT) unified global optimization algorithm. This algorithm has convergence is proved in this paper. More important, for this CDT-unified algorithm, numerous numerical computational results show that it is very powerful not only for solving low-dimensional but also for solving high-dimensional nonconvex/nonsmooth optimization problems, and the global optimal solutions can be easily and elegantly got with zero dual gap.
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Jiapu Zhang. 2011-05-11. A Simple But Effective Canonical Dual Theory Unified Algorithm for Global Optimization. https://arxiv.org/abs/1105.2270
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