Maximizing Wiener index for trees with given vertex weight and degree sequences
作者:
Highlights:
•
摘要
The Wiener index is maximized over the set of trees with the given vertex weight and degree sequences. This model covers the traditional “unweighed” Wiener index, the terminal Wiener index, and the vertex distance index. It is shown that there exists an optimal caterpillar. If weights of internal vertices increase in their degrees, then an optimal caterpillar exists with weights of internal vertices on its backbone monotonously increasing from some central point to the ends of the backbone, and the same is true for pendent vertices. A tight upper bound of the Wiener index value is proposed and an efficient greedy heuristics is developed that approximates well the optimal index value. Finally, a branch and bound algorithm is built and tested for the exact solution of this NP-complete problem.
论文关键词:Wiener index for graph with weighted vertices,Upper-bound estimate,Greedy algorithm,Optimal caterpillar
论文评审过程:Received 21 December 2016, Revised 15 May 2017, Accepted 31 July 2017, Available online 21 September 2017, Version of Record 21 September 2017.
论文官网地址:https://doi.org/10.1016/j.amc.2017.07.077