The National Natural Science Foundation of China(No.61300167);the Open Project Program of State Key Laboratory for Novel Software Technology of Nanjing University(No.KFKT2015B17);the Natural Science Foundation of Jiangsu Province(No.BK20151274);Qing Lan Project of Jiangsu Province;the Open Project Program of Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education(No.JYB201606);the Program for Special Talent in Six Fields of Jiangsu Province(No.XYDXXJS-048)
In order to improve the performance of the attribute reduction algorithm to deal with the noisy and uncertain large data, a novel co-evolutionary cloud-based attribute ensemble multi-agent reduction(CCAEMR) algorith...