Title :
Application of improved genetic algorithm to search of optimum route for intelligent vehicle navigation system
Author :
Cui, Zhiming ; Liu, Wenjie ; Rui, Yannian ; Guo, Xuhong
Author_Institution :
Comput. Inf. Process. Technol. Lab, Suzhou Univ., China
Abstract :
Exploration of intelligent transport system is one of the best ways of settling transport problems. It has aroused our great concern. In this thesis, we have put forward a new method of genetic algorithm that is through carrying on SGA (simple genetic algorithm) operation to combined individuals of population at first; we get primary optimum value. Then, carry on operation of SGS to this primary optimum by dividing it into small parts. The method can lead to faster way of searching optimum route. And also it is an optimization of SGA.
Keywords :
automated highways; genetic algorithms; navigation; traffic engineering computing; genetic algorithm; intelligent transport system; intelligent vehicle navigation system; optimization; optimum route searching; Artificial intelligence; Biological cells; Flowcharts; Genetic algorithms; Genetic mutations; Intelligent systems; Intelligent vehicles; Navigation; Postal services; Vehicle dynamics;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1252672
