Global optimization using particle swarm optimization and a comparison with evolutionary algorithms and an artificial immune system

M. Szczepanik; A. Poteralski; W. Kuś; T. Burczynski

Global optimization using particle swarm optimization and a comparison with evolutionary algorithms and an artificial immune system

M. Szczepanik
, A. Poteralski
, W. Kuś
, T. Burczynski

Katedra Mechaniki i Inżynierii Obliczeniowej (RMT/RMT4)

Silesian University of Technology
Cracow University of Technology

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

Abstrakt

The paper is devoted to an application of the particle swarm algorithm to the optimization problems. The optimization of the known mathematical test functions (Rastrigin, Griewank, Branin and Goldstein-Price) is considered. On the base of the optimization of the test functions optimal parameters of the particle swarm optimizer are found. The comparisons of the particle swarm optimiser, an artificial immune system and evolutionary methods for the mathematical functions are presented. A few numerical examples for the swarm optimization of engineering optimization problems are also presented.

Język oryginału	angielski
Tytuł publikacji goszczącej	Proceedings of the 10th International Conference on Computational Structures Technology, CST 2010
Wydawca	Civil-Comp Press
Tom	93
ISBN (drukowany)	9781905088386
Status publikacji	Opublikowano - 2010
Wydarzenie	10th International Conference on Computational Structures Technology, CST 2010 - Valencia, Hiszpania Czas trwania: 14 wrz 2010 → 17 wrz 2010

Konferencja

Konferencja	10th International Conference on Computational Structures Technology, CST 2010
Kraj/Terytorium	Hiszpania
Miejscowość	Valencia
Okres	14/09/10 → 17/09/10

Obszary tematyczne ASJC Scopus

Inżynieria środowiska
Inżynieria lądowa i strukturalna
Teoria i matematyka obliczeń
Sztuczna inteligencja

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

@inproceedings{3a67ca5e0ebc4f9eacffedfbc4eeeefd,

title = "Global optimization using particle swarm optimization and a comparison with evolutionary algorithms and an artificial immune system",

abstract = "The paper is devoted to an application of the particle swarm algorithm to the optimization problems. The optimization of the known mathematical test functions (Rastrigin, Griewank, Branin and Goldstein-Price) is considered. On the base of the optimization of the test functions optimal parameters of the particle swarm optimizer are found. The comparisons of the particle swarm optimiser, an artificial immune system and evolutionary methods for the mathematical functions are presented. A few numerical examples for the swarm optimization of engineering optimization problems are also presented.",

keywords = "Artificial immune system, Evolutionary algorithm, Finite element method, Optimization, Particle swarm optimizer, Topology optimisation",

author = "M. Szczepanik and A. Poteralski and W. Ku{\'s} and T. Burczynski",

year = "2010",

language = "English",

isbn = "9781905088386",

volume = "93",

booktitle = "Proceedings of the 10th International Conference on Computational Structures Technology, CST 2010",

publisher = "Civil-Comp Press",

note = "10th International Conference on Computational Structures Technology, CST 2010 ; Conference date: 14-09-2010 Through 17-09-2010",

}

Szczepanik, M , Poteralski, A , Kuś, W & Burczynski, T 2010, Global optimization using particle swarm optimization and a comparison with evolutionary algorithms and an artificial immune system. w Proceedings of the 10th International Conference on Computational Structures Technology, CST 2010. tom 93, Civil-Comp Press, 10th International Conference on Computational Structures Technology, CST 2010, Valencia, Hiszpania, 14/09/10.

Global optimization using particle swarm optimization and a comparison with evolutionary algorithms and an artificial immune system. / Szczepanik, M.; Poteralski, A.; Kuś, W. i in.
Proceedings of the 10th International Conference on Computational Structures Technology, CST 2010. Tom 93 Civil-Comp Press, 2010.

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Global optimization using particle swarm optimization and a comparison with evolutionary algorithms and an artificial immune system

AU - Szczepanik, M.

AU - Poteralski, A.

AU - Kuś, W.

AU - Burczynski, T.

PY - 2010

Y1 - 2010

N2 - The paper is devoted to an application of the particle swarm algorithm to the optimization problems. The optimization of the known mathematical test functions (Rastrigin, Griewank, Branin and Goldstein-Price) is considered. On the base of the optimization of the test functions optimal parameters of the particle swarm optimizer are found. The comparisons of the particle swarm optimiser, an artificial immune system and evolutionary methods for the mathematical functions are presented. A few numerical examples for the swarm optimization of engineering optimization problems are also presented.

AB - The paper is devoted to an application of the particle swarm algorithm to the optimization problems. The optimization of the known mathematical test functions (Rastrigin, Griewank, Branin and Goldstein-Price) is considered. On the base of the optimization of the test functions optimal parameters of the particle swarm optimizer are found. The comparisons of the particle swarm optimiser, an artificial immune system and evolutionary methods for the mathematical functions are presented. A few numerical examples for the swarm optimization of engineering optimization problems are also presented.

KW - Artificial immune system

KW - Evolutionary algorithm

KW - Finite element method

KW - Optimization

KW - Particle swarm optimizer

KW - Topology optimisation

UR - https://www.scopus.com/pages/publications/84893857375

M3 - Conference contribution

AN - SCOPUS:84893857375

SN - 9781905088386

VL - 93

BT - Proceedings of the 10th International Conference on Computational Structures Technology, CST 2010

PB - Civil-Comp Press

T2 - 10th International Conference on Computational Structures Technology, CST 2010

Y2 - 14 September 2010 through 17 September 2010

ER -

Global optimization using particle swarm optimization and a comparison with evolutionary algorithms and an artificial immune system

Abstrakt

Konferencja

Obszary tematyczne ASJC Scopus

Inne pliki i linki

Fingerprint

Cytowanie