A State Evaluation Adaptive Differential Evolution Algorithm for FIR Filter Design

A State Evaluation Adaptive Differential Evolution Algorithm for FIR Filter Design

Due to conventional differential evolution algorithm is often trapped in local optima and premature convergence in high dimensional optimization problems, a State Evaluation Adaptive Differential Evolution algorithm (SEADE) is proposed in this paper. By using independent scale factor on each dimensi...

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Bibliographic Details
Main Authors: Yong Wang, Zhaosheng Teng, Wen He, Jianmin Li, Radek Martinek
Format: Article
Language:English
Published: VSB-Technical University of Ostrava 2017-01-01
Series:Advances in Electrical and Electronic Engineering
Subjects:
differential evolution (de)
external archive
fir filter
opposition-based population
state evaluation.
Online Access:http://advances.utc.sk/index.php/AEEE/article/view/2496

Internet

http://advances.utc.sk/index.php/AEEE/article/view/2496

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