会议专题

Global adaptive harmony search algorithm and its application in rough set reduction

Inspired by the particle swarm optimization algorithm, the global information is added to the adaptive harmony search algorithm. The Global adaptive harmony search algorithm is proposed in this paper. Then five criteria are used to test the new algorithm. And its application to attribute reduction is given. The simulation result shows the effectiveness and feasibility of the algorithm.

Harmony Search Algorithm Adaptive Algorithmn Rough set Reduction

Zhi Kong Lifu Wang Zhaoxia Wu

Department of Automation and Engineering Northeastern University At Qinhuangdao University of Huaguoshan Qinhuangdao, Hebei, 066004

国际会议

2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

杭州

英文

572-576

2012-03-23(万方平台首次上网日期,不代表论文的发表时间)