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On accuracy of approximation for the resource constrained shortest path problem
Aleksandr A. Soldatenko Institute of Mathematics and Computer Science, Siberian Federal University, Svobodny, 79, Krasnoyarsk, 660041, Russia
Abstract:
The paper we considers the Resource Constrained Shortest Path problem (RCSP). This problem is NP-hard extension of a well-known shortest path problem in the directed graph $G = (V, E)$. In the RCSP problem each arc $e$ from $E$ has a cost $w(e)$ and additional weight functions $r_i(e), i = 1, \dots, k$, which specifying its requirements from a finite set of resource. A polynomial time $\epsilon$-approximation algorithm RevTree based on node labeling method is presented in the paper. The main advantage of the RevTree algorithm over existing ones is its ability to produce $\epsilon$ approximation of the RCSP problem in $\mathcal{O}(\mathopen|V\mathclose|^2)$ time. The present paper provides a proof of complexity and aproximation of RevTree algorithm.
Keywords:
combinatorial optimization, resource constrained shortest path, graph-based algorithm, efficient approximation algorithm.
Received: 14.02.2019 Received in revised form: 20.05.2019 Accepted: 20.08.2019
Citation:
Aleksandr A. Soldatenko, “On accuracy of approximation for the resource constrained shortest path problem”, J. Sib. Fed. Univ. Math. Phys., 12:5 (2019), 621–627
Linking options:
https://www.mathnet.ru/eng/jsfu798 https://www.mathnet.ru/eng/jsfu/v12/i5/p621
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Abstract page: | 143 | Full-text PDF : | 43 | References: | 23 |
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