Title :
Asynchronous Particle Swarm Optimization
Author_Institution :
TOBB Ekonomi ve Teknoloji Univ., Ankara
Abstract :
In this article we consider an asynchronous particle swarm optimization (PSO) algorithm. In addition to the fact that the particles can update their estimates independently time delays are also allowed in obtaining information from their neighbors. Moreover, we test the performance of the algorithm with a simulation example.
Keywords :
delays; estimation theory; particle swarm optimisation; PSO algorithm; asynchronous particle swarm optimization; estimation theory; time delays; Ant colony optimization; Delay effects; Delay estimation; Kalman filters; Particle swarm optimization; Testing;
Conference_Titel :
Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
Conference_Location :
Eskisehir
Print_ISBN :
1-4244-0719-2
Electronic_ISBN :
1-4244-0720-6
DOI :
10.1109/SIU.2007.4298806
