Abstract:
The performance of the well-known particle swarm optimization (PSO) method can be improved by minimizing the possibility of premature convergence in a local minimum. We c...Show MoreMetadata
Abstract:
The performance of the well-known particle swarm optimization (PSO) method can be improved by minimizing the possibility of premature convergence in a local minimum. We can achieve this by modifying some of the particles with crossover and mutation operators used in genetic algorithms. However, the impact of genetic operators on the optimization process should depend on the current state of the PSO algorithm. In this article, we propose to use the neuro-fuzzy system to dynamically determine the strength with which these operators will affect the process of finding the optimal solution. Results obtained for well-known benchmark functions demonstrate the advance of the proposed method over the original PSO algorithm and its selected modifications.
Published in: IEEE Transactions on Fuzzy Systems ( Volume: 28, Issue: 6, June 2020)
Funding Agency:
Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland
Piotr Dziwiński was born in Zawiercie, Poland, in 1978. He received the M.Sc. and Ph.D. degrees in computer science from the Czestochowa University of Technology, Czestochowa, Poland, in 2003 and 2008, respectively.
Since 2008, he has been an Assistant Professor with the Institute of Computational Intelligence, Czestochowa University of Technology. He has published about 17 technical papers in conference proceedings and bo...Show More
Piotr Dziwiński was born in Zawiercie, Poland, in 1978. He received the M.Sc. and Ph.D. degrees in computer science from the Czestochowa University of Technology, Czestochowa, Poland, in 2003 and 2008, respectively.
Since 2008, he has been an Assistant Professor with the Institute of Computational Intelligence, Czestochowa University of Technology. He has published about 17 technical papers in conference proceedings and bo...View more
Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland
Łukasz Bartczuk was born in Czestochowa, Poland, in 1979. He received the M.Sc. and Ph.D. degrees in computer science from the Czestochowa University of Technology, Czestochowa, Poland, in 2003 and 2008, respectively.
Since 2008, he has been an Assistant Professor with the Institute of Computational Intelligence, Czestochowa University of Technology. He has published about 20 technical papers in conference proceedings and ...Show More
Łukasz Bartczuk was born in Czestochowa, Poland, in 1979. He received the M.Sc. and Ph.D. degrees in computer science from the Czestochowa University of Technology, Czestochowa, Poland, in 2003 and 2008, respectively.
Since 2008, he has been an Assistant Professor with the Institute of Computational Intelligence, Czestochowa University of Technology. He has published about 20 technical papers in conference proceedings and ...View more
Contents Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland
Piotr Dziwiński was born in Zawiercie, Poland, in 1978. He received the M.Sc. and Ph.D. degrees in computer science from the Czestochowa University of Technology, Czestochowa, Poland, in 2003 and 2008, respectively.
Since 2008, he has been an Assistant Professor with the Institute of Computational Intelligence, Czestochowa University of Technology. He has published about 17 technical papers in conference proceedings and book chapters. His main research interests include swarm intelligence, evolutionary algorithms, hybrid methods, and fuzzy systems.
Piotr Dziwiński was born in Zawiercie, Poland, in 1978. He received the M.Sc. and Ph.D. degrees in computer science from the Czestochowa University of Technology, Czestochowa, Poland, in 2003 and 2008, respectively.
Since 2008, he has been an Assistant Professor with the Institute of Computational Intelligence, Czestochowa University of Technology. He has published about 17 technical papers in conference proceedings and book chapters. His main research interests include swarm intelligence, evolutionary algorithms, hybrid methods, and fuzzy systems.View more
Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland
Łukasz Bartczuk was born in Czestochowa, Poland, in 1979. He received the M.Sc. and Ph.D. degrees in computer science from the Czestochowa University of Technology, Czestochowa, Poland, in 2003 and 2008, respectively.
Since 2008, he has been an Assistant Professor with the Institute of Computational Intelligence, Czestochowa University of Technology. He has published about 20 technical papers in conference proceedings and book chapters. His main fields of interests include fuzzy systems, evolutionary algorithms, and hybrid methods.
Łukasz Bartczuk was born in Czestochowa, Poland, in 1979. He received the M.Sc. and Ph.D. degrees in computer science from the Czestochowa University of Technology, Czestochowa, Poland, in 2003 and 2008, respectively.
Since 2008, he has been an Assistant Professor with the Institute of Computational Intelligence, Czestochowa University of Technology. He has published about 20 technical papers in conference proceedings and book chapters. His main fields of interests include fuzzy systems, evolutionary algorithms, and hybrid methods.View more
