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Particle Swarm Optimization

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Computational Intelligence Applied to Inverse Problems in Radiative Transfer

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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.

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Author information

Authors and Affiliations

  1. National Center for Monitoring and Early Warning of Natural Hazards (CEMADEN), São José dos Campos, Brazil

    Eduardo Fávero Pacheco da Luz

  2. National Institute for Space Research (INPE), São José dos Campos, Brazil

    José Carlos Becceneri, Stephan Stephany & Haroldo Fraga de Campos Velho

  3. Rio de Janeiro State University, Nova Friburgo, Rio de Janeiro, Brazil

    Antônio José da Silva Neto

Authors
  1. Eduardo Fávero Pacheco da Luz
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  2. José Carlos Becceneri
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  3. Stephan Stephany
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  4. Haroldo Fraga de Campos Velho
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  5. Antônio José da Silva Neto
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Corresponding author

Correspondence to Haroldo Fraga de Campos Velho .

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Editors and Affiliations

  1. Rio de Janeiro State University, Nova Friburgo, Rio de Janeiro, Brazil

    Antônio José da Silva Neto

  2. National Institute for Space Research, São José dos Campos, São Paulo, Brazil

    José Carlos Becceneri

  3. National Institute for Space Research, São José dos Campos, São Paulo, Brazil

    Haroldo Fraga de Campos Velho

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Luz, E.F.P.d., Becceneri, J.C., Stephany, S., de Campos Velho, H.F., da Silva Neto, A.J. (2023). Particle Swarm Optimization. In: Silva Neto, A.J.d., Becceneri, J.C., Campos Velho, H.F.d. (eds) Computational Intelligence Applied to Inverse Problems in Radiative Transfer. Springer, Cham. https://doi.org/10.1007/978-3-031-43544-7_10

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