TY - GEN
T1 - A new hybrid PSOGSA algorithm for function optimization
AU - Mirjalili, Seyedali
AU - Hashim, Siti Zaiton Mohd
PY - 2010/12/1
Y1 - 2010/12/1
N2 - In this paper, a new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms' strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution. The results show the hybrid algorithm possesses a better capability to escape from local optimums with faster convergence than the standard PSO and GSA.
AB - In this paper, a new hybrid population-based algorithm (PSOGSA) is proposed with the combination of Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA). The main idea is to integrate the ability of exploitation in PSO with the ability of exploration in GSA to synthesize both algorithms' strength. Some benchmark test functions are used to compare the hybrid algorithm with both the standard PSO and GSA algorithms in evolving best solution. The results show the hybrid algorithm possesses a better capability to escape from local optimums with faster convergence than the standard PSO and GSA.
KW - Function optimization
KW - Gravitational Search Algorithm (GSA)
KW - Particle Swarm Optimization (PSO)
UR - http://www.scopus.com/inward/record.url?scp=84857134761&partnerID=8YFLogxK
U2 - 10.1109/ICCIA.2010.6141614
DO - 10.1109/ICCIA.2010.6141614
M3 - Conference contribution
AN - SCOPUS:84857134761
SN - 9781424485963
T3 - Proceedings of ICCIA 2010 - 2010 International Conference on Computer and Information Application
SP - 374
EP - 377
BT - Proceedings of ICCIA 2010 - 2010 International Conference on Computer and Information Application
T2 - 2010 International Conference on Computer and Information Application, ICCIA 2010
Y2 - 2 November 2010 through 4 November 2010
ER -