TY - JOUR
T1 - Multimodal function optimization based on particle swarm optimization
AU - Seo, Jang Ho
AU - Im, Chang Hwan
AU - Heo, Chang Geun
AU - Kim, Jae Kwang
AU - Jung, Hyun Kyo
AU - Lee, Cheol Gyun
PY - 2006/4
Y1 - 2006/4
N2 - In this paper, a new algorithm for the multimodal function optimization is proposed, based on the particle swarm optimization (PSO). A new method, named the multigrouped particle swarm optimization (MGPSO), keeps basic concepts of the PSO, and, thus, shows a more straightforward convergence compared to conventional hybrid type approaches. Moreover, the MGPSO has a unique advantage in that one can search N superior peaks of a multimodal function when the number of groups is N. The usefulness of the proposed algorithm was verified by the application to various case studies, including a practical electromagnetic optimization problem.
AB - In this paper, a new algorithm for the multimodal function optimization is proposed, based on the particle swarm optimization (PSO). A new method, named the multigrouped particle swarm optimization (MGPSO), keeps basic concepts of the PSO, and, thus, shows a more straightforward convergence compared to conventional hybrid type approaches. Moreover, the MGPSO has a unique advantage in that one can search N superior peaks of a multimodal function when the number of groups is N. The usefulness of the proposed algorithm was verified by the application to various case studies, including a practical electromagnetic optimization problem.
KW - Electromagnetic optimization problems
KW - Multigrouped particle swarm optimization (MGPSO)
KW - Multimodal function optimization
KW - Particle swarm optimization (PSO)
UR - http://www.scopus.com/inward/record.url?scp=33645158620&partnerID=8YFLogxK
U2 - 10.1109/TMAG.2006.871568
DO - 10.1109/TMAG.2006.871568
M3 - Article
AN - SCOPUS:33645158620
SN - 0018-9464
VL - 42
SP - 1095
EP - 1098
JO - IEEE Transactions on Magnetics
JF - IEEE Transactions on Magnetics
IS - 4
ER -