DocumentCode
521569
Title
Fuzzy ant colony optimization algorithm
Author
Alsawy, Assem A. ; Hefny, Hesham A. ; El-licy, F.
Author_Institution
Department of Computer and Information Science, Institute of Statistical Studies and Research (ISSR), Cairo University
fYear
2010
fDate
28-30 March 2010
Firstpage
1
Lastpage
5
Abstract
Due to the fact that the element of uncertainty, not only, exists, but also significantly affects system performance in many real-world applications. Therefore there is a need for finding powerful techniques to handle such situations. The main objective of this research is to introduce a new version of ant algorithm that can solve the problems, which contain uncertain information or imprecise data. To achieve this objective, the research integrates fuzzy logic and ant algorithm for better handling of such problems.
Keywords
Ant colony optimization; Cities and towns; Fuzzy logic; Information science; Particle swarm optimization; System performance; Traveling salesman problems; Uncertainty; Fuzzy numbers, Ant Colony Optimization, TSP, Soft computing, Swarm intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Informatics and Systems (INFOS), 2010 The 7th International Conference on
Conference_Location
Cairo
Print_ISBN
978-1-4244-5828-8
Type
conf
Filename
5502976
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