A method to locate neighborhood of global optimum

Qiwen Yang, Yan Liu, S. Wang, Yunchan Xue
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引用次数: 1

Abstract

Locating the neighborhood of global optimum (NGO) is critical for global optimization. For this purpose, the relationship between the barycenter and the global maximum is investigated in this paper. And a space transform technique is proposed such that the barycenter of the transformed space is more close to NGO. Consequently, NGO can be readily located by means of estimating the barycenter of search space. The validity of the proposed method is demonstrated by multimodal function optimization.
一种全局最优邻域定位方法
全局最优邻域的定位是全局优化的关键。为此,本文研究了重心与全局极大值的关系。并提出了一种空间变换技术,使变换后的空间重心更接近于NGO。因此,可以很容易地通过估计搜索空间的重心来定位非政府组织。通过多模态函数优化验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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