Title :
Testing of a modified particle swarm optimization algorithm using different benchmark functions
Author :
Hamdan, Shawkat ; El Zawawi, Amr
Author_Institution :
Electr. Eng. Dept., Beirut Arab Univ., Debbiah, Lebanon
fDate :
July 29 2009-Aug. 1 2009
Abstract :
This paper presents a new optimization algorithm called modified particle swarm optimization MPSO technique. In order to demonstrate the advantages of this MPSO technique, it is tested using different benchmark functions and the results are compared with those obtained using the classical particle swarm optimization PSO algorithm.
Keywords :
benchmark testing; particle swarm optimisation; MPSO testing; benchmark function; modified particle swarm optimization algorithm; Benchmark testing; Birds; Educational institutions; Equations; Genetic algorithms; Marine animals; Particle swarm optimization; Power system simulation; Simulated annealing; Stochastic processes; Modified particle swarm optimization (MPSO); Particle swarm optimization (PSO); benchmark functions;
Conference_Titel :
Soft Computing Applications, 2009. SOFA '09. 3rd International Workshop on
Conference_Location :
Arad
Print_ISBN :
978-1-4244-5054-1
Electronic_ISBN :
978-1-4244-5056-5
DOI :
10.1109/SOFA.2009.5254866
