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
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)