Particle Swarm Optimization and regression analysis – I

Authors

Soumya D. Mohanty, The University of Texas Rio Grande Valley

Document Type

Article

Publication Date

2012

Abstract

Particle Swarm Optimization (PSO) is now widely used in many problems that require global optimization of high-dimensional and highly multi-modal functions. However, PSO has not yet seen widespread use in astronomical data analysis even though optimization problems in this field have become increasingly complex. In this two-part article, we first provide an overview of the PSO method in the concrete context of a ubiquitous problem in astronomy, namely, regression analysis. In particular, we consider the problem of optimizing the placement of knots in regression based on cubic splines (spline smoothing). The second part will describe an in-depth investigation of PSO in some realistic data analysis challenges.

Comments

© 2012 Taylor & Francis

Recommended Citation

Soumya D. Mohanty (2012) Particle Swarm Optimization and regression analysis – I, Astronomical Review, 7:2, 29-35, DOI: 10.1080/21672857.2012.11519700

Publication Title

Astronomical Review

DOI

10.1080/21672857.2012.11519700