Helpdesk

Top image

Editorial board

Juraj Altus
University of Zilina, Slovakia

Alexander Argyros
The University of Sydney, Australia

Radu Arsinte
Technical University of Cluj Napoca, Romania

Ivan Baronak
Slovak University of Technology, Slovakia

Dalibor Biolek
University of Defence, Czech Republic

Klara Capova
University of Zilina, Slovakia

Ray-Guang Cheng
National Taiwan University of Science and Technology, Taiwan, Province of China

Erik Chromy
UPC Broadband Slovakia, Slovakia

Frantisek Cvachovec
University of Defence, Czech Republic

Annraoi M de Paor
University College Dublin, Ireland

Milan Dado
University of Zilina, Slovakia

Zdenek Divis
VSB - Technical University of Ostrava, Czech Republic

Petr Drexler
Brno University of Technology, Czech Republic

Pavel Fiala
Brno University of Technology, Czech Republic

Eva Gescheidtova
Brno University of Technology, Czech Republic

Valeria Hrabovcova
University of Zilina, Slovakia

Gokhan Hakki Ilk
Ankara University, Turkey

Rene Kalus
VSB - Technical University of Ostrava, Czech Republic

Ivan Kasik
Academy of Sciences of the Czech Republic, Czech Republic

Vladimir Kasik
VSB - Technical University of Ostrava, Czech Republic

Jan Kohout
University of Defence, Czech Republic

Pavel Koktavy
Brno University of Technology, Czech Republic

Ondrej Krejcar
University of Hradec Kralove, Czech Republic

Igor Piotr Kurytnik
University of Bielsko-Biala, Poland

Miroslaw Luft
Technical University of Radom, Poland

Stanislav Marchevsky
Technical University of Kosice, Slovakia

Luigi Martirano
University of Rome "La Sapienza", Italy

Jerzy Mikulski
University of Economics in Katowice, Katowice, Poland

Karol Molnar
Honeywell International, Czech Republic

Miloslav Ohlidal
Brno University of Technology, Czech Republic

Ibrahim Taner Okumus
Sutcu Imam University, Turkey

Milos Orgon
Slovak University of Technology, Slovakia

Marek Penhaker
VSB - Technical University of Ostrava, Czech Republic

Wasiu Oyewole Popoola
The University of Edinburgh, United Kingdom

Roman Prokop
Tomas Bata University in Zlin, Czech Republic

Karol Rastocny
University of Zilina, Slovakia

Marie Richterova
University of Defence, Czech Republic

Gheorghe Sebestyen-Pal
Technical University of Cluj Napoca, Romania

Sergey Vladimirovich Serebriannikov
National Research University "MPEI", Russian Federation

Yuriy Shmaliy
Guanajuato University, Mexico

Vladimir Schejbal
University of Pardubice, Czech Republic

Bohumil Skala
University of West Bohemia in Plzen, Czech Republic

Lorand Szabo
Technical University of Cluj Napoca, Romania

Adam Szelag
Warsaw University of Technology, Poland

Ahmadreza Tabesh
Isfahan University of Technology, Iran, Islamic Republic Of

Mauro Tropea
DIMES Department of University of Calabria, Italy

Pavel Vaclavek
Brno University of Technology, Czech Republic

Martin Vaculik
University of Zilina, Slovakia

Viktor Valouch
Academy of Sciences of the Czech Republic, Czech Republic

Vladimir Vasinek
VSB - Technical University of Ostrava, Czech Republic

Jiri Vodrazka
Czech Technical University in Prague, Czech Republic

Miroslav Voznak
VSB - Technical University of Ostrava, Czech Republic

Otakar Wilfert
Brno University of Technology, Czech Republic

Jan Zidek
VSB - Technical University of Ostrava, Czech Republic


Home Search Mail RSS


A State Evaluation Adaptive Differential Evolution Algorithm for FIR Filter Design

Yong Wang, Zhaosheng Teng, Wen He, Jianmin Li, Radek Martinek

DOI: 10.15598/aeee.v15i5.2496


Abstract

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 dimension of optimization problem, and evaluating the distribution of population on each dimension, the SEADE correct the control parameters adaptively. External archive and a moving window evaluation mechanism on evolution state are introduced in SEADE to detect whether the evolution is stagnation or not, and with the help of opposition-based population, the algorithm can jump out of local optima basins. The results of experiments on several benchmarks show that the proposed algorithm is capable of improving the search performance of high dimensional optimization problems. And it is more efficient in design FIR digital filter using SEADE than conventional method like Parks-McClellan algorithm.

Keywords


Differential Evolution (DE); external archive; FIR filter; opposition-based population; state evaluation.

Full Text:

PDF