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

BRODERICK CRAWFORD LABRIN, RICARDO JAVIER SOTO DE GIORGIS, Gino Astorga, José Lemus, Agustín Salas-Fernández

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

2 Scopus citations

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.

Original languageEnglish
Title of host publicationInformation Technology and Systems - Proceedings of ICITS 2019
EditorsManolo Paredes, Carlos Ferrás, Álvaro Rocha
PublisherSpringer Verlag
Pages274-283
Number of pages10
ISBN (Print)9783030118891
DOIs
StatePublished - 1 Jan 2019
EventInternational Conference on Information Technology and Systems, ICITS 2019 - Quito, Ecuador
Duration: 6 Feb 20198 Feb 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume918
ISSN (Print)2194-5357

Conference

ConferenceInternational Conference on Information Technology and Systems, ICITS 2019
CountryEcuador
CityQuito
Period6/02/198/02/19

Keywords

  • Intelligent water drops
  • Project management
  • Software Project Scheduling Problem

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