Title :
Can tournament selection improve performances of the classical Particle Swarm Optimization Algorithm?
Author :
Golubovic, Ruzica ; Stevanovic, Ivica ; Olcan, Dragan ; Mosig, Juan
Author_Institution :
Lab. of Electromagn. & Acoust., Ecole Polytech. Fed. de Lausanne, Lausanne
Abstract :
Particle Swarm Optimization (PSO) algorithm is known to be very efficient solution for electromagnetic (EM) optimization problems. In this paper we show that binary tournament selection applied to PSO algorithm further speeds-up its convergence. Having in mind that EM simulation is the most time-consuming part of the optimization, reducing the overall number of iterations (EM solver calls) is of a paramount relevance.
Keywords :
convergence; particle swarm optimisation; EM; PSO; binary tournament selection; convergence speed; electromagnetic optimization problem; particle swarm optimization algorithm; Acoustical engineering; Acoustics; Boundary conditions; Convergence; Dynamic range; Frequency; Geometry; Microstrip antennas; Multidimensional systems; Particle swarm optimization;
Conference_Titel :
Antennas and Propagation, 2009. EuCAP 2009. 3rd European Conference on
Conference_Location :
Berlin
Print_ISBN :
978-1-4244-4753-4
Electronic_ISBN :
978-3-00-024573-2
