TY - GEN
T1 - An analysis of bare bones particle swarm
AU - Pan, Feng
AU - Hu, Xiaohui
AU - Eberhart, Russ
AU - Chen, Yaobin
PY - 2008
Y1 - 2008
N2 - The Bare Bones Particle Swarm (BBPS) is evolved from the canonical Particle Swarm Optimizer (PSO). The velocity term of the canonical PSO is removed in BBPS and replaced by Gaussian sampling strategy. There is no parameter tuning and it is much easier to implement. In the paper, it is proven that the BBPS can be mathematically deduced from the canonical PSO and a more general formula of BBPS is also presented. The results presented in the paper represent initial results of an ongoing research project effort.
AB - The Bare Bones Particle Swarm (BBPS) is evolved from the canonical Particle Swarm Optimizer (PSO). The velocity term of the canonical PSO is removed in BBPS and replaced by Gaussian sampling strategy. There is no parameter tuning and it is much easier to implement. In the paper, it is proven that the BBPS can be mathematically deduced from the canonical PSO and a more general formula of BBPS is also presented. The results presented in the paper represent initial results of an ongoing research project effort.
UR - https://www.scopus.com/pages/publications/57649174481
U2 - 10.1109/SIS.2008.4668301
DO - 10.1109/SIS.2008.4668301
M3 - Conference contribution
AN - SCOPUS:57649174481
SN - 9781424427055
T3 - 2008 IEEE Swarm Intelligence Symposium, SIS 2008
BT - 2008 IEEE Swarm Intelligence Symposium, SIS 2008
T2 - 2008 IEEE Swarm Intelligence Symposium, SIS 2008
Y2 - 21 September 2008 through 23 September 2008
ER -