文献类型：期刊文献

英文题名：A genetic algorithm with filter technique for nonlinear programming

作者：Huang, Yiqian[1]; Wang, Wei[2]

机构：[1] School of Management Science, Fudan University, Shanghai 200433, China; [2] School of Science, East China University of Science Technology, Shanghai 200433, China

年份：2014

卷号：272 LNEE

期号：VOL. 3

起止页码：127

外文期刊名：Lecture Notes in Electrical Engineering

收录：EI(收录号：20140917375952)

语种：英文

外文关键词：Nonlinear programming - Function evaluation - Computer programming - Bandpass filters

摘要：Combining genetic algorithm with filter technique, a new method for nonlinearly constrained programming problem is presented. Instead of the penalty function being a fitness function, the filter is taken as the criteria to evaluate individuals in the paper. The convergence of the algorithm is proved and the numerical results are also listed. ? Springer-Verlag Berlin Heidelberg 2014.