Maximum shortest path interdiction problem by upgrading edges on trees under hamming distance
Autor: | Hui Wang, Xiucui Guan, Panos M. Pardalos, Qiao Zhang |
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Rok vydání: | 2021 |
Předmět: |
Binary search algorithm
021103 operations research Control and Optimization 0211 other engineering and technologies Hamming distance 010103 numerical & computational mathematics 02 engineering and technology Flow network Binary logarithm 01 natural sciences Tree (graph theory) Combinatorics Dynamic programming Shortest path problem 0101 mathematics Greedy algorithm Mathematics |
Zdroj: | Optimization Letters. 15:2661-2680 |
ISSN: | 1862-4480 1862-4472 |
Popis: | We consider the maximum shortest path interdiction problem by upgrading edges on trees under Hamming distance (denoted by (MSPITH)), which has wide applications in transportation network, network war and terrorist network. The problem (MSPITH) aims to maximize the length of the shortest path from the root of a tree to all its leaves by upgrading edge weights such that the upgrade cost under sum-Hamming distance is upper-bounded by a given value. We show that the problem (MSPITH) under weighted sum-Hamming distance is NP-hard. We consider two cases of the problem (MSPITH) under unit sum-Hamming distance based on the number K of critical edges. We propose a greedy algorithm within $$O(n+l\log l)$$ time when $$K=1$$ and a dynamic programming algorithm within $$O(n(\log n+K^3))$$ time when $$K>1$$ , where n and l are the numbers of nodes and leaves in a tree, respectively. Furthermore, we consider a minimum cost shortest path interdiction problem by upgrading edges on trees under unit Hamming distance, denoted by (MCSPITUH) and propose a binary search algorithm within $$O(n^4\log n)$$ time, where a dynamic programming algorithm is executed in each iteration to solve its corresponding problem (MSPITH). Finally, we design numerical experiments to show the effectiveness of the algorithms. |
Databáze: | OpenAIRE |
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