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Author(s): |
Ping Liu, Network Center Henan Normal University, Xinxing, 453007, China
Peiyan Yuan, Network Center Henan Normal University, Xinxing, 453007, China
Kangkang Liu, Network Center Henan Normal University, Xinxing, 453007, China
Yunliang Yuan, Network Center Henan Normal University, Xinxing, 453007, China |
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Abstract: |
Recently, the studies of intelligent algorithms attract more attention especially for ant colony sys- tem, which is robust and adapts to the new circumstances swiftly. Firstly, this paper studies and analyses the function and influence on ant colony system with classical parameters such as α, β in theory and practice within a random environment , taking TSP as an example. Secondly, this thesis takes number of ants and it- erations as new parameters to evaluate the performance of ant colony system and draws an interesting result. Our goal is to better understand it.
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