Title :
An analysis of Bare Bones Particle Swarm
Author :
Pan, Feng ; Hu, Xiaohui ; Eberhart, Russ ; Chen, Yaobin
Author_Institution :
Sch. of Inf. Sci. & Technol., Beijing Inst. of Technol., Beijing
Abstract :
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.
Keywords :
Gaussian processes; particle swarm optimisation; sampling methods; Gaussian sampling strategy; bare bones particle swarm; canonical particle swarm optimizer; Bones; Equations; Finite element methods; Linear programming; Optimization methods; Particle swarm optimization; Sampling methods; Space exploration; Topology; USA Councils;
Conference_Titel :
Swarm Intelligence Symposium, 2008. SIS 2008. IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-2704-8
Electronic_ISBN :
978-1-4244-2705-5
DOI :
10.1109/SIS.2008.4668301
