Title
Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem
Date Issued
01 January 2019
Access level
metadata only access
Resource Type
conference paper
Author(s)
Pontificia Universidad Católica de Valparaíso
Publisher(s)
Springer Verlag
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.
Start page
274
End page
283
Volume
918
Language
English
OCDE Knowledge area
Ingeniería mecánica
Física de plasmas y fluídos
Subjects
Scopus EID
2-s2.0-85061357896
ISBN
9783030118891
Source
Advances in Intelligent Systems and Computing
ISSN of the container
21945357
Sponsor(s)
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.
Acknowledgements. Broderick Crawford is supported by grant CONICYT/ FONDECYT/REGULAR 1171243 and Ricardo Soto is supported by Grant CONI-CYT/FONDECYT/REGULAR/1160455, Gino Astorga is supported by Postgraduate Grant, Pontificia Universidad Catolica de Valparáıso, 2015 and JoséLemus is supported by INF-PUCV 2018.
Pontificia Universidade Catolica de Campinas
Sources of information:
Directorio de Producción Científica
Scopus