DocumentCode :
3655651
Title :
Compare Ant-colony and Genetic algorithm for shortest path problem and introduce their parallel implementations
Author :
Geza Katona;Janos Juhasz;Balázs Lenart
Author_Institution :
Dept. of Transp. Technol. &
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
312
Lastpage :
319
Abstract :
There are several algorithms which calculates shortest path, but most of them are not enough fast, effective and they provide only one solution. Therefore our investigation tries to find one alternative algorithm for this problem. In this paper it is described how Ant-colony and the Genetic algorithm can be applied for multimodal transportation systems and tests have been made to find the best parameters of these methods. Parallel methods are being introduced, as these methods are more effective and more applicable to Cloud based systems. It has been simulated in a multi-threaded server but it could also be used in a distributed computing system.
Keywords :
"Genetic algorithms","Biological cells","Intelligent transportation systems","Economics","Sociology","Statistics","Standards"
Publisher :
ieee
Conference_Titel :
Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2015 International Conference on
Print_ISBN :
978-9-6331-3140-4
Type :
conf
DOI :
10.1109/MTITS.2015.7223273
Filename :
7223273
Link To Document :
بازگشت