Swarm intelligence based multivariate polynomial for anchovy catches forecasting

NIBALDO RODRIGUEZ AGURTO, Eleuterio Yañez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we propose a forecasting model suitably developed to forecast monthly anchovy catches in the north area of Chile. This forecaster is developed in order to combine in the most effective way the capability of the quantum particle swarm optimization algorithm and a reduced multivariate polynomial. The performance evaluation of this model achieves an approximately determination coefficient equal to 93%. Beside, the advantages of the proposed model are reduced parsimony and increasing accuracy precision.

Original languageEnglish
Title of host publicationWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference
Pages79-84
Number of pages6
StatePublished - 1 Dec 2008
EventComputational Intelligence in Decision and Control - 8th International FLINS Conference - Madrid, Spain
Duration: 21 Sep 200824 Sep 2008

Publication series

NameWorld Scientific Proceedings Series on Computer Engineering and Information Science 1; Computational Intelligence in Decision and Control - Proceedings of the 8th International FLINS Conference

Conference

ConferenceComputational Intelligence in Decision and Control - 8th International FLINS Conference
CountrySpain
CityMadrid
Period21/09/0824/09/08

Keywords

  • Forecasting
  • Multivariate polynomial
  • Swarm intelligence

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