Test Problem Generator by Neural Network for Algorithms that Try Solving Nonlinear Programming Problems Globally |
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| Authors: | Degang Liu Xiang-Sun Zhang |
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| Affiliation: | (1) Academy of Mathematics and System sciences , Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing, 100080, China;(2) Academy of Mathematics and System sciences , Institute of Applied Mathematics, Chinese Academy of Sciences, Beijing, 100080, China |
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| Abstract: | A test problem generator, by means of neural networks nonlinear function approximation capability, is given in this paper which provides test problems, with many predetermined local minima and a global minimum, to evaluate nonlinear programming algorithms that are designed to solve the problem globally. |
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| Keywords: | Feedforward network Global solution Nonlinear programming Test problem generation |
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