Title :
A novel algorithm for shortest path problem based on pulse coupled neural network
Author :
Wu Xueli ; Gu Yapei ; Zhang Jianhua
Author_Institution :
Hebei Univ. of Sci. & Technol., Shijiazhuang, China
Abstract :
This article brings forward a novel approach for collision free shortest path based on the autowave propagation characteristic of Pulse Couple Neural Network´s. The proposed algorithm can find the shortest path quickly and accurately by rapid parallel computation, and has simper structure compared with the traditional method. In this work, the theories of the proposed algorithm have been analyzed in detail, and the specific algorithm and the experimental results have been put forward. Simulations are carried out to illustrate the performance of the proposed method.
Keywords :
combinatorial mathematics; neural nets; optimisation; autowave propagation characteristic; collision free shortest path; pulse coupled neural network; rapid parallel computation; shortest path problem; Analytical models; Computational modeling; Fires; Firing; Neurons; Path planning; Shortest path problem; Autowave; Collision free; Path planning; Pulse Couple Neural Network;
Conference_Titel :
Control and Decision Conference (CCDC), 2015 27th Chinese
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-7016-2
DOI :
10.1109/CCDC.2015.7162336