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
Link To Document :
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