Parallel particle swarm optimization on chaotic solutions of dynamical systems

Author

Gotthans, Tomas ; Petrzela, Jiri ; Hrubos, Zdenek ; Baudoin, Genevieve

Author_Institution

Dept. of Radio Electron., Brno Univ. of Technol., Brno, Czech Republic

fYear

2012

fDate

17-18 April 2012

Firstpage

1

Lastpage

4

Abstract

A parallel approach for finding chaotic solutions of general third-order autonomous dynamical systems with piecewise-linear vector field utilizing particle swarm optimization (PPSO) was proposed. PPSO is a metaheuristic method that can search very large spaces of candidate solutions using modern multi-core processors performance. To discover such sensitive systems in respect to chaotic behavior, special attention was devoted to the fitness function. Some of found systems are presented and analyzed in the article. A significant speedup using multi-core operations was proved.

Keywords

chaos; circuit optimisation; microprocessor chips; particle swarm optimisation; PPSO; chaotic solutions; fitness function; found systems; metaheuristic method; multi-core operations; multi-core processors; parallel approach; parallel particle swarm optimization; third-order autonomous dynamical systems; Chaotic communication; Equations; Mathematical model; Optimization; Particle swarm optimization; Program processors; Kaplan-Yorke dimension; Lyapunov exponents; Parallel particle swarm optimization; chaos; efficiency; speedup;

fLanguage

English

Publisher

ieee

Conference_Titel

Radioelektronika (RADIOELEKTRONIKA), 2012 22nd International Conference

Conference_Location

Brno

Print_ISBN

978-1-4673-0659-1

Type

conf

Filename

6207665