DocumentCode :
714364
Title :
The comparison of A* algorithm and Ant Colonial Optimization for mobile traveler application
Author :
Aydin, Ahmet ; Telceken, Sedat
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Anadolu Univ., Eskişehir, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
491
Lastpage :
494
Abstract :
In this paper, a route planning application has been developed for mobile devices. The goal was to select the algorithm that computes the route in the shortest amount of time. To this end, a database containing information and high-resolution pictures of the touristic locations in Eskisehir province have been created. For each interest point in the database, optimal routes have been computed using such complete search algorithms as A* and Ant Colonial Optimization found in the literature. The experimental work has shown that A* algorithm runs up to 80% faster than the Ant Colonial Optimization as the number of interest points increases.
Keywords :
ant colony optimisation; database management systems; mobile computing; travel industry; A* algorithm; Eskisehir province; ant colonial optimization; database; high-resolution pictures; mobile devices; mobile traveler application; route planning application; touristic locations; Artificial intelligence; Computers; Databases; Mobile communication; Optimization; Planning; Reactive power; A* algorithm; Ant Colonial Optimization; Mobile application; Route planning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7129866
Filename :
7129866
Link To Document :
بازگشت