Title :
A novel hybrid algorithm for the dynamic shortest path problem
Author :
Guo, Yafei ; Qin, Zheng ; Chang, Yang
Author_Institution :
Sch. of Software, Tsinghua Univ., Beijing, China
Abstract :
For the dynamic shortest path problem, a novel hybrid algorithm DSP is designed, which embeds the ant colony algorithm into the A algorithm. Considering both the speed of searching and the quality of solution, in DSP algorithm, the evaluation function and the means of selecting next expanded node in A algorithm as well as searching strategy and related parameters in the ant colony algorithm are improved firstly, then the current saved path, obstruction isolation search and the novel dynamic path planning method are proposed. The experimental results show that the algorithm runs better than other existing methods. Moreover, it can find the shortest path or the approximate shortest one within a shorter period of time on road networks of any scales, especially more effectively on the large scale.
Keywords :
optimisation; path planning; search problems; transportation; DSP hybrid algorithm; ant colony algorithm; dynamic path planning method; dynamic shortest path problem; obstruction isolation search method; road networks; Algorithm design and analysis; Approximation algorithms; Digital signal processing; Heuristic algorithms; Path planning; Roads; Shortest path problem; A algorithm; DSP algorithm; ant colony algorithm; the dynamic shortest path problem;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583241