Solving Interval Multi-objective Optimization Problems Using Evolutionary Algorithms with Lower Limit of Possibility Degree

查看全文 作　　者：SUN [1,2]Jing;GONG [1]Dunwei

机构地区：[1]School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou 221008, China;[2]Colleqe of Science, Huai Hai Institute of Technoloqy, Lianyungang 221005, China

出　　处：《Chinese Journal of Electronics》索引2013年第22卷第2期,共4页

基　　金：This work is supported by the National Natural Science Foundation of China (No.6077044), Program for New Century Excellent Talents in Universities (No.NCET-07-0802), and Natural Science Foundation of HHIT (No.2010150037). 关键词：多目标优化问题进化算法非支配排序遗传算法下限区间可能度现实世界

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Solving Interval Multi-objective Optimization Problems Using Evolutionary Algorithms with Lower Limit of Possibility Degree

参考文献(12)

引证文献(6)

耦合文献(17)

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