DocumentCode
3265054
Title
A Solution for TSP Based on Artificial Fish Algorithm
Author
Jian-ping, Wang ; Meng-Jie, Hu
Author_Institution
Sch. of Inf. Eng., Henan Inst. of Sci. & Technol., Xinxiang, China
Volume
2
fYear
2009
fDate
6-7 June 2009
Firstpage
26
Lastpage
29
Abstract
TSP is well-known issue in the field of mathematics. With the increasing calculation nodes, the convergence degree and computing difficulty of TSP will increase enormously. Artificial fish is an optimize algorithm based on biology model putting forward at present. We describe the relative knowledge of artificial fish algorithm, put forward artificial fish algorithm model for TSP, then make the qualitative analysis of the basic steps for simulating TSP.
Keywords
artificial intelligence; optimisation; travelling salesman problems; artificial fish algorithm; biology model; optimize algorithm; qualitative analysis; travelling salesman problem; Ant colony optimization; Biochemistry; Biological cells; Biological system modeling; Cities and towns; Feedback; Genetic algorithms; Marine animals; Routing; Simulated annealing; TSP; artificial fish algorithm; distance; shoal;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3645-3
Type
conf
DOI
10.1109/CINC.2009.72
Filename
5231047
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