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Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem

  • Broderick CrawfordEmail author
  • Ricardo Soto
  • Gino Astorga
  • José Lemus
  • Agustín Salas-Fernández
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 918)

Abstract

At present a large number exists of metaheuristics that can support some process in the industry; however, there is a great difficulty to be overcome before use, that is the adjustment of the parameters that they use. It is already known the significant impact that they have on their behavior the correct choice of their values. Given the importance that has the proper adjustment of the parameters, our work presents a self-adjusting alternative for a constructive metaheuristic called Intelligent Water Drops. To evaluate our proposal we solve the Software Project Scheduling Problem, obtaining very similar results and one case superior to the version with manual adjustment.

Keywords

Intelligent water drops Project management Software Project Scheduling Problem 

Notes

Acknowledgements

Broderick Crawford is supported by grant CONICYT/FONDECYT/REGULAR 1171243 and Ricardo Soto is supported by Grant CONICYT/FONDECYT/REGULAR/1160455, Gino Astorga is supported by Postgraduate Grant, Pontificia Universidad Catolica de Valparaíso, 2015 and José Lemus is supported by INF-PUCV 2018.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Broderick Crawford
    • 1
    Email author
  • Ricardo Soto
    • 1
  • Gino Astorga
    • 1
    • 2
  • José Lemus
    • 1
  • Agustín Salas-Fernández
    • 3
  1. 1.Pontificia Universidad Católica de ValparaísoValparaísoChile
  2. 2.Universidad de ValparaísoValparaísoChile
  3. 3.Universidad Tecnológica de Chile INACAPSantiagoChile

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