A NEW ACO WITH IMMUNE ABILITY

摘要：

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 ants capability and makes an improvement of ACO. This paper not only describes the new algorithms 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.

关键词： Ant colony optimization Immune algorithm Vaccine Traveling salesman problem

作者: JUN-HUA GU QING TAN NA-NA LI JIAN-NAN ZHANG NING MAO

作者单位: School of Computer Science and Engineering, Hebei University of Technology, Tianjin 300130, China School of Computer Science and Engineering, Hebei University of Technology, Tianjin 300130, China;Sc

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 4278-4281

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）