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A filled function with one parameter approach for box constrained optimization problem

机译:箱约束优化问题的单参数填充函数

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The box constrained optimization appears in a wide range of scientific application. Therefore, box constrained problems continue to attract research interest. We address box constrained global optimization by deriving a new filled function with one parameter algorithm, we also prove the analysis properties of the proposed function under some suitable assumptions. Moreover, we show that the unconstrained minimization allows to escape from a local minima of the original objective function. We give experiment results on a solution of problems with different properties.
机译:盒约束优化出现在广泛的科学应用中。因此,盒子受限的问题继续引起研究兴趣。我们通过用一个参数算法推导一个新的填充函数来解决框约束全局优化问题,并在一些适当的假设下证明了所提出函数的分析性质。此外,我们证明了无约束的最小化允许从原始目标函数的局部最小值中逃脱。我们给出了具有不同性质的问题的解决方案的实验结果。

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