TY - GEN
T1 - An effective particle swarm optimization for global optimization
AU - Eslami, Mahdiyeh
AU - Shareef, Hussain
AU - Khajehzadeh, Mohammad
AU - Mohamed, Azah
PY - 2012
Y1 - 2012
N2 - In this paper, a novel chaotic particle swarm optimization with nonlinear time varying acceleration coefficient is introduced. The proposed modified particle swarm optimization algorithm (MPSO) greatly elevates global and local search abilities and overcomes the premature convergence of the original algorithm. This study aims to investigate the performance of the new algorithm, as an effective global optimization method, on a suite of some well-known benchmark functions and provides comparisons with the standard version of the algorithm. The simulated results illustrate that the proposed MPSO has the potential to converge faster, while improving the quality of solution. Experimental results confirm superior performance of the new method compared with standard PSO.
AB - In this paper, a novel chaotic particle swarm optimization with nonlinear time varying acceleration coefficient is introduced. The proposed modified particle swarm optimization algorithm (MPSO) greatly elevates global and local search abilities and overcomes the premature convergence of the original algorithm. This study aims to investigate the performance of the new algorithm, as an effective global optimization method, on a suite of some well-known benchmark functions and provides comparisons with the standard version of the algorithm. The simulated results illustrate that the proposed MPSO has the potential to converge faster, while improving the quality of solution. Experimental results confirm superior performance of the new method compared with standard PSO.
KW - Chaotic Sequence
KW - Global Optimization
KW - Nonlinear Acceleration Coefficient
KW - Particle Swarm Optimization
UR - http://www.scopus.com/inward/record.url?scp=84868296288&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868296288&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-34289-9_30
DO - 10.1007/978-3-642-34289-9_30
M3 - Conference contribution
AN - SCOPUS:84868296288
SN - 9783642342882
T3 - Communications in Computer and Information Science
SP - 267
EP - 274
BT - Computational Intelligence and Intelligent Systems - 6th International Symposium, ISICA 2012, Proceedings
T2 - 6th International Symposium on Intelligence Computation and Applications, ISICA 2012
Y2 - 27 October 2012 through 28 October 2012
ER -