supported by the National Natural Science Foundation of China(No.61300167,No.61171132);the Open Project Program of State Key Laboratory for Novel Software Technology,Nanjing University(No.KFKT2015B17);the Natural Science Foundation of Jiangsu Province(No.BK20151274);the Natural Science Pre-research Foundation of Nantong University(No.12ZY016);the Qing Lan Project of Jiangsu Province
In order to further analyze the dynamical behavior of co-evolutionary populations in minimum attribute reduction, an Enhanced attribute co-evolutionary game reduction(EACGR) algorithm by integrating selfadaptive multi...