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Generalized Extremal Optimization

In: Computational Intelligence Applied to Inverse Problems in Radiative Transfer

Author

Listed:
  • Fabiano Luis de Sousa

    (National Institute for Space Research (INPE))

  • Francisco José da Cunha Pires Soeiro

    (Rio de Janeiro State University (UERJ))

  • Fernando Manoel Ramos

    (National Institute for Space Research (INPE))

  • Antônio José da Silva Neto

    (Rio de Janeiro State University)

Abstract

In this chapter, the description of the method called Generalized Extremal Optimization (GEO) 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. The results obtained with a variant of the canonical method, called GEO v a r $${ }_{var}$$ , are compared with those obtained with the GA and SA methods, as well as with a hybridization of the GEO method with the SA method (GEO+SA).

Suggested Citation

  • Fabiano Luis de Sousa & Francisco José da Cunha Pires Soeiro & Fernando Manoel Ramos & Antônio José da Silva Neto, 2023. "Generalized Extremal Optimization," Springer Books, in: Antônio José da Silva Neto & José Carlos Becceneri & Haroldo Fraga de Campos Velho (ed.), Computational Intelligence Applied to Inverse Problems in Radiative Transfer, chapter 0, pages 107-118, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-43544-7_11
    DOI: 10.1007/978-3-031-43544-7_11
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