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On refinement of the unit simplex using regular simplices

机译:使用常规单纯形精炼单位单纯形

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A natural way to define branching in branch and bound (B&B) for blending problems is bisection. The consequence of using bisection is that partition sets are in general irregular. The question is how to use regular simplices in the refinement of the unit simplex. A regular simplex with fixed orientation can be represented by its center and size, facilitating storage of the search tree from a computational perspective. The problem is that a simplex defined in a space with dimension cannot be subdivided into regular subsimplices without overlapping. We study the characteristics of the refinement by regular simplices. The main challenge is to find a refinement with a good convergence ratio which allows discarding simplices in an overlapped and already evaluated region. As the efficiency of the division rule in B&B algorithms is instance dependent, we focus on the worst case behaviour, i.e. none of the branches are pruned. This paper shows that for this case surprisingly an overlapping regular refinement may generate less simplices to be evaluated than longest edge bisection. On the other hand, the number of evaluated vertices may be larger.
机译:对分问题,在分支定界(B&B)中定义分支的自然方法是二分法。使用二等分的结果是,分区集通常是不规则的。问题是如何在单元单纯形的精炼中使用规则的单纯形。具有固定方向的规则单纯形可以通过其中心和大小来表示,从而从计算角度简化了搜索树的存储。问题在于,在具有维数的空间中定义的单纯形不能细分为规则的子简化而不会重叠。我们通过常规的单纯形来研究细化的特征。主要的挑战是找到一种具有良好收敛率的细化方法,该方法可以丢弃重叠且已经评估的区域中的单纯形。由于B&B算法中除法规则的效率取决于实例,因此我们将重点放在最坏情况下的行为,即没有修剪任何分支。本文表明,对于这种情况,令人惊讶的是,重叠的规则细化可能比最长的边缘对分产生更少的待评估的单纯形。另一方面,评估的顶点数量可能会更多。

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