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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129866