DocumentCode :
1777130
Title :
A new complete heuristic approach for ant rendezvous problem
Author :
Famouri, Mahmoud ; Hamzeh, Ali
Author_Institution :
Comput. Sci. Dept., Shiraz Univ., Shiraz, Iran
fYear :
2014
fDate :
29-30 Oct. 2014
Firstpage :
364
Lastpage :
369
Abstract :
Ant meeting problem is a distributed problem that its purpose is to find an efficient path for ants to meet each other. Actually, ant robots suffer from the low memory and their restricted computational power. They communicate with their environment by leaving some symptoms like pheromones in their surroundings. In the problem of ants meeting, the ants should reach together in order to cooperate in an intelligent algorithm. In the common type of this problem, they start to search the environment without any knowledge about their locations, directions, obstacles and any other information. They can just leave some signs on the environment which shows their tracks. These marks are the only way of communication between ants. Also, these marks show the information about the ant which has passed the track, and every ant knows whose mark is that. In this paper, a new heuristic approach is proposed for the distributed ants meeting problem based on A* algorithm which guaranties the ants meeting in a finite time. Experimental results show that the presented algorithm is more efficient than previous ones.
Keywords :
evolutionary computation; heuristic programming; A* algorithm; ant communication; ant meeting problem; ant rendezvous problem; ant robots; heuristic approach; intelligent algorithm; Algorithm design and analysis; Benchmark testing; Computer science; Estimation; Robot sensing systems; Search problems; A∗; Ants Rendezvous Problem; Convergence; Heuristic Search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2014 4th International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4799-5486-5
Type :
conf
DOI :
10.1109/ICCKE.2014.6993470
Filename :
6993470
Link To Document :
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