Genetic algorithm based on differential evolution with variable length: Runoff prediction on an artificial basin

Ana Freire, Vanessa Aguiar-Pulido, Juan R. Rabuñal, Marta Garrido

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Differential evolution is a successful approach to solve optimization problems. The way it performs the creation of the individual allows a spontaneous self-adaptability to the function. In this paper, a new method based on the differential evolution paradigm has been developed. An innovative feature has been added: the variable length of the genotype, so this approach can be applied to predict special time series. This approach has been tested over rainfall data for real-time prediction of changing water levels on an artificial basin. This way, a flood prediction system can be obtained.

Original languageEnglish (US)
Title of host publicationICEC 2010 - Proceedings of the International Conference on Evolutionary Computation
Pages207-212
Number of pages6
StatePublished - 2010
Externally publishedYes
EventInternational Conference on Evolutionary Computation, ICEC 2010 - Valencia, Spain
Duration: Oct 24 2010Oct 26 2010

Publication series

NameICEC 2010 - Proceedings of the International Conference on Evolutionary Computation

Conference

ConferenceInternational Conference on Evolutionary Computation, ICEC 2010
Country/TerritorySpain
CityValencia
Period10/24/1010/26/10

Keywords

  • Differential evolution
  • Evolutionary computation
  • Hydrology

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Applied Mathematics

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