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A Combined Heuristic Algorithm for Preference-based Shortest Path Search  

Ok, Seung-Ho (School of Electrical Engineering and Computer Science, Kyungpook National University)
Ahn, Jin-Ho (Department of Electronic Engineering, Hoseo University)
Kang, Sung-Ho (Department of Electrical and Electronic Engineering, Yonsei University)
Moon, Byung-In (School of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea TC / v.47, no.8, 2010 , pp. 74-84 More about this Journal
Abstract
In this paper, we propose a preference-based shortest path algorithm which is combined with Ant Colony Optimization (ACO) and A* heuristic algorithm. In recent years, with the development of ITS (Intelligent Transportation Systems), there has been a resurgence of interest in a shortest path search algorithm for use in car navigation systems. Most of the shortest path search algorithms such as Dijkstra and A* aim at finding the distance or time shortest paths. However, the shortest path is not always an optimum path for the drivers who prefer choosing a less short, but more reliable or flexible path. For this reason, we propose a preference-based shortest path search algorithm which uses the properties of the links of the map. The preferences of the links are specified by the user of the car navigation system. The proposed algorithm was implemented in C and experiments were performed upon the map that includes 64 nodes with 118 links. The experimental results show that the proposed algorithm is suitable to find preference-based shortest paths as well as distance shortest paths.
Keywords
Shortest path search; navigation; ant colony optimization; A* algorithm; heuristic algorithm;
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Times Cited By KSCI : 2  (Citation Analysis)
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