An efficient hybrid genetic algorithm to design finite impulse response filters

作者：

Highlights：

• Design of 1D FIR filters by conventional methods is not optimal.

• This work sets out to propose a hybrid genetic approach for FIR filters design.

• The local search allows the GA to escape from local optima and premature convergence.

• Hybrid GA significantly reduces the computation cost and improves results.

摘要

•Design of 1D FIR filters by conventional methods is not optimal.•This work sets out to propose a hybrid genetic approach for FIR filters design.•The local search allows the GA to escape from local optima and premature convergence.•Hybrid GA significantly reduces the computation cost and improves results.

论文关键词：Genetic algorithm,FIR filter,Filter design,Hybridization,Instance selection

论文评审过程：Available online 31 March 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.03.034