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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Rastrigin function ： ウィキペディア英語版 Rastrigin function In mathematical optimization, the Rastrigin function is a non-convex function used as a performance test problem for optimization algorithms. It is a typical example of non-linear multimodal function. It was first proposed by Rastrigin 〔Rastrigin, L. A. "Systems of extremal control." (1974).〕 as a 2-dimensional function and has been generalized by Mühlenbein et al.〔H. Mühlenbein, D. Schomisch and J. Born. "The Parallel Genetic Algorithm as Function Optimizer ". Parallel Computing, 17, pages 619–632, 1991.〕 Finding the minimum of this function is a fairly difficult problem due to its large search space and its large number of local minima. It is defined by: : $f(\backslash mathbf)\; =\; A\; n\; +\; \backslash sum\_^n\; \backslash left(-\; A\backslash cos(2\; \backslash pi\; x\_i)\backslash right)$ where $A=10$ and $x\_i\backslash in()$. It has a global minimum at $\backslash mathbf\; =\; \backslash mathbf$ where $f(\backslash mathbf)=0$. == See also == *Test functions for optimization 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Rastrigin function」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.