Abstract

The research of designing floating-point digital infinite-impulse response (IIR) filter using multi-objective optimization evolutionary algorithm (MOEA) is a newly emerged research field. However, none of previous work takes notice of the fixed-point representation in the MOEA based digital IIR filter design research. In this paper, we introduce fixed-point representation in a new local search operator enhanced multi-objective evolutionary algorithm (LS-MOEA), which is specifically proposed for multi-objective optimization digital IIR filter design problems, to form a new version LS-MOEA with floating-point representation (LS-MOEA-FR). The effectiveness and efficiency of LS-MOEA-FR is verified on four types of digital IIR filter design problems, including low pass (LP), high pass (HP), band pass (BP) and band stop (BS).

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call