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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259012
