期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2015
卷号：8
期号：11
页码：91-100
DOI：10.14257/ijhit.2015.8.11.07
出版社：SERSC
摘要：The hybrid technique of Swine Influenza Model Based Optimization (SIMBO) and Genetic Algorithm (GA) for designing linear phase FIR low pass filter has been presented in this paper. The major difficulties using SIMBO algorithm in designing filter was premature convergence and unacceptable computational cost. To address this problem, a hybrid SIMBO-GA is proposed where GA is used to help SIMBO escape from local optima and prevent premature convergence. DEPSO, GLPSO DVN are adopted for comparison. In contrast with aforementioned algorithms it has been divulged that hybrid SIMBO-GA seems to be promising tool for optimum FIR filter design.
关键词：SIMBO; SIMBO-GA; Digital Filter; Particle Swarm Optimization
