可伸缩递归首次拟合:频谱分配问题的最优解

G. Rouskas, Chaitanya Bandikatla
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引用次数: 1

摘要

我们重新审视了经典的频谱分配问题,这是光网络设计中的一个基本子问题,并做了三个贡献。首先,我们展示了如何将一些SA问题实例分解为更小的实例,这些实例可以在不损失最优性的情况下独立解决。其次,我们证明了著名的第一拟合启发式算法的最优性。最后,我们利用这一特性开发了一种递归算法,该算法应用FF启发式来有效地找到最优解。这种递归首拟合(Rec-FF)算法补充了我们最近递归搜索路由空间的算法,并且可以与它结合以最优地解决大型路由和频谱分配(RSA)问题实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable Recursive First Fit: An Optimal Solution to the Spectrum Allocation Problem
We revisit the classical spectrum allocation (SA) problem, a fundamental subproblem in optical network design, and make three contributions. First, we show how some SA problem instances may be decomposed into smaller instances that may be solved independently without loss of optimality. Second, we prove an optimality property of the well-known first-fit (FF) heuristic. Finally, we leverage this property to develop a recursive algorithm that applies the FF heuristic to find an optimal solution efficiently. This recursive first-fit (Rec-FF) algorithm complements our recent algorithm that recursively searches the routing space, and may be combined with it to solve large routing and spectrum allocation (RSA) problem instances to optimality.
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