Multi-object Optimal Design of Analog Filter Based on Improved Genetic Algorithm

摘要：

A multi-object optimization method for analog filter design based on genetic algorithm (GA) is proposed.The complete objective function is a weighted sum of deviations between the properties of designed filter and these of desired filter, including the magnitude, phase responses and step response, etc. The optimization is achieved by GA to minimize the complete objective.For overcoming the disadvantages of simple GA,an improvement is given.A four order filter designed by proposed method testified the validity of the method.

关键词： analog filter multi-object optimization genetic algorithm (GA)

作者: Xie Qinlan Chen Hong

作者单位: College of Electronics and Information Engineering South-Central University For Nationalities Wuhan, College of Chemistry and materials South-Central University For Nationalities Wuhan,China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 362-365

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）