DocumentCode :
3209022
Title :
Comparison of Heuristic Algorithms to Solving Mesh Network Path Finding Problem
Author :
Kubacki, Jacek ; Koszalka, Leszek ; Pozniak-Koszalka, Iwona ; Kasprzak, Andrzej
Author_Institution :
Dept. of Syst. & Comput. Networks, Wroclaw Univ. of Technol., Wroclaw, Poland
fYear :
2009
fDate :
17-19 Dec. 2009
Firstpage :
388
Lastpage :
392
Abstract :
In this paper, we concentrate on efficiency of path finding problem with obstacles. The implemented algorithms for solving such a problem are based on ant colony optimization, genetic algorithm idea, simulated annealing and simple algorithms. The simple algorithms like random search and Nai¿ve algorithm are considered either. As the investigation tool we have designed and implemented computer experimentation system in Java technology. In the paper, the results of some research are reported and discussed. During investigations we focus on such parameters like shape of the mesh and amount of obstacles. The comparison of algorithms properties is made using the introduced indices of performance treated as a measure to effectiveness of examined algorithms.
Keywords :
genetic algorithms; search problems; simulated annealing; Java technology; Nai¿ve algorithm; ant colony optimization; computer experimentation system; genetic algorithm; heuristic algorithms; mesh network path finding problem; random search; simulated annealing; Biological cells; Computer science; Costs; Genetic algorithms; Heuristic algorithms; Java; Mesh networks; Shape measurement; Simulated annealing; Temperature; heuristic algorithms; mesh network; obstacles; path finding; simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Frontier of Computer Science and Technology, 2009. FCST '09. Fourth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3932-4
Electronic_ISBN :
978-1-4244-5467-9
Type :
conf
DOI :
10.1109/FCST.2009.51
Filename :
5392888
Link To Document :
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