Particle Swarm Optimization
Eduardo Fávero Pacheco da Luz,
José Carlos Becceneri,
Stephan Stephany,
Haroldo Fraga de Campos Velho () and
Antônio José da Silva Neto ()
Additional contact information
Eduardo Fávero Pacheco da Luz: National Center for Monitoring and Early Warning of Natural Hazards (CEMADEN)
José Carlos Becceneri: National Institute for Space Research (INPE)
Stephan Stephany: National Institute for Space Research (INPE)
Haroldo Fraga de Campos Velho: National Institute for Space Research (INPE)
Antônio José da Silva Neto: Rio de Janeiro State University
Chapter Chapter 10 in Computational Intelligence Applied to Inverse Problems in Radiative Transfer, 2023, pp 95-106 from Springer
Abstract:
Abstract In this chapter, the description of the method called Particle Swarm Optimization (PSO) is presented, including a brief history, the algorithm, and its application to the inverse radiative transfer problem, for the determination of the optical thickness, single scattering albedo, and diffuse reflectivities in the internal part of the boundary surfaces of one-dimensional homogeneous participating media.
Keywords: Particle Swarm Optimization (PSO); PSO method algorithm; PSO with inertia; PSO with turbulence; One-dimensional homogeneous participating medium; Radiative transfer (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-43544-7_10
Ordering information: This item can be ordered from
http://www.springer.com/9783031435447
DOI: 10.1007/978-3-031-43544-7_10
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().