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首页> 外文期刊>Journal of combinatorial optimization >Generating a smallest binary tree by proper selection of the longest edges to bisect in a unit simplex refinement
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Generating a smallest binary tree by proper selection of the longest edges to bisect in a unit simplex refinement

机译:通过正确选择单位单纯x细化中的最长边缘来生成最小的二叉树。

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摘要

In several areas like global optimization using branch-and-bound methods for mixture design, the unit n-simplex is refined by longest edge bisection (LEB). This process provides a binary search tree. For , simplices appearing during the refinement process can have more than one longest edge (LE). The size of the resulting binary tree depends on the specific sequence of bisected longest edges. The questions are how to calculate the size of one of the smallest binary trees generated by LEB and how to find the corresponding sequence of LEs to bisect, which can be represented by a set of LE indices. Algorithms answering these questions are presented here. We focus on sets of LE indices that are repeated at a level of the binary tree. A set of LEs was presented in Aparicio et al. (Informatica 26(1):17-32, 2015), for . An additional question is whether this set is the best one under the so-called -valid condition.
机译:在全球优化等几个领域使用用于混合设计的分支和绑定方法,通过最长的边缘平衡(LEB)精制单元N-Simplex。 此过程提供二进制搜索树。 因为,在细化过程中出现的简单可以具有多于一个最长的边缘(LE)。 得到的二进制树的大小取决于比较最长边的特定序列。 问题是如何计算LEB生成的最小二叉树之一的大小以及如何找到LES的相应序列,这可以由一组LE索引表示。 这里展示了这些问题的算法。 我们专注于在二叉树的水平上重复的LE指数集。 Aparicio等人呈现了一套les。 (Informatica 26(1):17-32,2015),为。 额外的问题是该组是在所谓的-valid条件下最好的一个。

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