Personal Best Oriented Constriction Type Particle Swarm Optimization

Chen, Chang-Huang; Yeh, Syh‐Shiuh

doi:10.1109/iccis.2006.252300

Search citation statements

Order By: Relevance

Paper Sections

Select...

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2006

2009

Publication Types

Select...

Other4

Book2

Relationship

Self Cite1

Independent5

Authors

Journals

Cited by 6 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fotunately, previous studies showed that PPSO performs well both in testing on a suite of benchmark functions and applying to economic dispatch problems of the power system and others [Chen & Yeh, 2006a, 2006b, 2008. However, all the results were obtained from emperical studies.…”

Section: )mentioning

confidence: 99%

See 1 more Smart Citation

Personal Best Oriented Particle Swarm Optimizer

Chen¹,

Hwang²,

Yeh³

2009

Particle Swarm Optimization

Self Cite

View full text Add to dashboard Cite

Section: )mentioning

confidence: 99%

“…Hereafter, p g and p i will be called the global best and personal best particle of the swarm, respectively, in this chapter. Personal best oriented particle swarm optimizer (PPSO), also a varient of particle swarm optimization, is a newly developed optimization solver [Chen & Yeh, 2006a ]. PPSO uses the same velocity updating rule as PSO.…”

Section: Introductionmentioning

confidence: 99%