Application Methods of Ant Colony Algorithm
Elnaz Shafigh Fard,
Khalil Monfaredi,
Mohammad H. Nadimi
Issue:
Volume 3, Issue 2, April 2014
Pages:
12-20
Received:
11 May 2014
Accepted:
11 June 2014
Published:
30 June 2014
Abstract: As one of the most prestigious and beneficial methods of artificial intelligence, ant colony takes the advantage of communal behavior of ants in nature for solving optimization problems in various fields. However, this useful algorithm requires extensive and repetitious computation, as a result, the processing duration of the present algorithm seems to be one of the most serious challenges about it. In order to solve optimization problems in which duration is very important, this paper attempts to review the previously applied methods and consider the advantages and the disadvantages of each method through highlighting the problems algorithm designers encounter.
Abstract: As one of the most prestigious and beneficial methods of artificial intelligence, ant colony takes the advantage of communal behavior of ants in nature for solving optimization problems in various fields. However, this useful algorithm requires extensive and repetitious computation, as a result, the processing duration of the present algorithm seem...
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