- Issue
- Journal of Siberian Federal University. Mathematics & Physics. 2019 12 (5)
- Authors
- Soldatenko, Aleksandr A.
- Contact information
- Soldatenko, Aleksandr A.: Institute of Mathematics and Computer Science Siberian Federal University Svobodny, 79, Krasnoyarsk, 660041 Russia;
- Keywords
- combinatorial optimization; resource constrained shortest path; graph-based algorithm; efficient approximation algorithm
- 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 ri(e); i = 1; : : : ; k, which specifying its requirements from a finite set of resource. A polynomial time ϵ-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 ϵ approximation of the RCSP problem in O(jV j2) time. The present paper provides a proof of complexity and aproximation of RevTree algorithm
- Pages
- 621–627
- DOI
- 10.17516/1997-1397-2019-12-5-621-627
- Paper at repository of SibFU
- https://elib.sfu-kras.ru/handle/2311/125648
Journal of Siberian Federal University. Mathematics & Physics / On Accuracy of Approximation for the Resource Constrained Shortest Path Problem
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