文献类型：期刊文献

英文题名：A filter-genetic algorithm for constrained optimization problems

作者：Tang, Junjie[1]; Wang, Wei[1]

机构：[1] Department of Mathematics, East China university of science and technology, Shanghai, 200237, China

年份：2015

卷号：95

起止页码：355

外文期刊名：Springer Proceedings in Mathematics and Statistics

收录：EI(收录号：20161102105566)

语种：英文

外文关键词：Bandpass filters - Constrained optimization - Genetic algorithms

摘要：A filter-genetic method for constrained optimization problems is presented. It uses the filter technique instead of a fitness function to determine the merits of individuals. The method not only ensures the optimization of the offspring, but also avoids selecting the penalty parameter of a penalty function, which often leads to computational instability. And the numerical results are listed in the end. ? Springer International Publishing Switzerland 2015.