DocumentCode
2899941
Title
A New ACO with Immune Ability
Author
Gu, Jun-hua ; TAN, QING ; Li, Na-Na ; Zhang, Jian-Nan ; Mao, Ning
Author_Institution
Sch. of Comput. Sci. & Eng., Hebei Univ. of Technol., Tianjin
fYear
2006
fDate
13-16 Aug. 2006
Firstpage
4278
Lastpage
4281
Abstract
In this paper, a new ant colony optimization (ACO) that immunity is introduced to is proposed. The proposed algorithm extracts the vaccine from transcendental knowledge and injects it into the elite of ants, which improves the elite ant´s capability and makes an improvement of ACO. This paper not only describes the new algorithm´s flow, but also makes a simulation. The simulation results show that proposed algorithm finds optimum solutions more effectively both in time and quantity than ACO
Keywords
artificial life; search problems; travelling salesman problems; artificial ant simulation; immune ant colony optimization algorithm; vaccine extraction; Ant colony optimization; Character recognition; Cities and towns; Computer science; Cybernetics; Data mining; Immune system; Intelligent agent; Machine learning; Negative feedback; Protection; Traveling salesman problems; Vaccines; Ant colony optimization; Immune algorithm; Traveling salesman problem; Vaccine;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location
Dalian, China
Print_ISBN
1-4244-0061-9
Type
conf
DOI
10.1109/ICMLC.2006.259012
Filename
4028824
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