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Particle Swarm Optimization: An Alternative For Parameter Estimation In Regression

Author

Listed:
  • S.G. de-los-Cobos-Silva

    (Autónoma Metropolitan Iztapalapa University, Electronic Engineering Department, Iztapalapa, Mexico D.F.)

  • A. Terceño-Gómez

    (Rovira i Virgili University, Business Administration Department, Faculty of Business and Economics, Reus, Spain)

  • M.A. Gutiérrez-Andrade

    (Autónoma Metropolitan Iztapalapa University, Electronic Engineering Department, Iztapalapa, Mexico D.F.)

  • E.A. Rincón-García

    (Autónoma Metropolitan Azcapotzalco University, Computer Engineering Department, Av. San Pablo 180, Colonia Reynosa Tamauluipas, Mexico D.F.,)

  • P. Lara-Velázquez

    (Autónoma Metropolitan Azcapotzalco University, Computer Engineering Department, Av. San Pablo 180, Colonia Reynosa Tamauluipas, Mexico D.F.,)

  • M. Aguilar-Cornejo

    (Autónoma Metropolitan Iztapalapa University, Electronic Engineering Department, Iztapalapa, Mexico D.F.)

Abstract

The practice of applying curve fitting techniques to describe data is widespread in many fields: in biology, in medicine, in engineer, in economy, etc. This paper presents a heuristic technique named Particle Swarm Optimization to be used for parameter estimation in regression models. The algorithm was tested on 27 databases for nonlinear models and 11 for linear models by collection NIST (2001), which are considered with different degrees of difficulty. We present experimental results

Suggested Citation

  • S.G. de-los-Cobos-Silva & A. Terceño-Gómez & M.A. Gutiérrez-Andrade & E.A. Rincón-García & P. Lara-Velázquez & M. Aguilar-Cornejo, 2013. "Particle Swarm Optimization: An Alternative For Parameter Estimation In Regression," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 19-32, November.
    • Handle: RePEc:fzy:fuzeco:v:xviii:y:2013:i:2:p:19-32
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    Keywords

    particle swarm optimization; regression;

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

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