Title :
Investigation on the performance of a new multiple choice strategy for PSO Algorithm in the task of large scale optimization problems
Author :
Pluhacek, Michal ; Senkerik, Roman ; Zelinka, Ivan
Author_Institution :
Fac. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin, Czech Republic
Abstract :
In this paper, a novel strategy for particle swarm optimization is presented and investigated over its ability to improve the performance of PSO algorithm in the task of large scale optimization problems. This proposed strategy alters the way the velocity of each particle is determined. Promising results of this innovative strategy are presented in the results section and briefly analyzed.
Keywords :
particle swarm optimisation; PSO algorithm; large scale optimization problems; multiple choice strategy; particle swarm optimization; particle velocity; Algorithm design and analysis; History; Optimization; Particle swarm optimization; Sociology; Statistics; Evolutionary algorithm; PSO; Particle swarm optimization; optimization;
Conference_Titel :
Evolutionary Computation (CEC), 2013 IEEE Congress on
Conference_Location :
Cancun
Print_ISBN :
978-1-4799-0453-2
Electronic_ISBN :
978-1-4799-0452-5
DOI :
10.1109/CEC.2013.6557805
