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

Broderick Crawford; Ricardo Soto; Gino Astorga; José Lemus; Agustín Salas-Fernández

doi:10.1007/978-3-030-11890-7_27

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

Broderick Crawford, Ricardo Soto, Gino Astorga, José Lemus, Agustín Salas-Fernández

SCHOOL OF COMPUTER ENGINEERING

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 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 language	English
Title of host publication	Information Technology and Systems - Proceedings of ICITS 2019
Editors	Manolo Paredes, Carlos Ferrás, Álvaro Rocha
Publisher	Springer Verlag
Pages	274-283
Number of pages	10
ISBN (Print)	9783030118891
DOIs	https://doi.org/10.1007/978-3-030-11890-7_27
State	Published - 2019
Event	International Conference on Information Technology and Systems, ICITS 2019 - Quito, Ecuador Duration: 6 Feb 2019 → 8 Feb 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	918
ISSN (Print)	2194-5357

Conference

Conference	International Conference on Information Technology and Systems, ICITS 2019
Country/Territory	Ecuador
City	Quito
Period	6/02/19 → 8/02/19

Keywords

Intelligent water drops
Project management
Software Project Scheduling Problem

Access to Document

10.1007/978-3-030-11890-7_27

Cite this

Crawford, B., Soto, R., Astorga, G., Lemus, J., & Salas-Fernández, A. (2019). Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem. In M. Paredes, C. Ferrás, & Á. Rocha (Eds.), Information Technology and Systems - Proceedings of ICITS 2019 (pp. 274-283). (Advances in Intelligent Systems and Computing; Vol. 918). Springer Verlag. https://doi.org/10.1007/978-3-030-11890-7_27

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title = "Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem",

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",

author = "Broderick Crawford and Ricardo Soto and Gino Astorga and Jos{\'e} Lemus and Agust{\'i}n Salas-Fern{\'a}ndez",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; International Conference on Information Technology and Systems, ICITS 2019 ; Conference date: 06-02-2019 Through 08-02-2019",

year = "2019",

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language = "English",

isbn = "9783030118891",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "274--283",

editor = "Manolo Paredes and Carlos Ferr{\'a}s and {\'A}lvaro Rocha",

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Crawford, B , Soto, R, Astorga, G, Lemus, J & Salas-Fernández, A 2019, Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem. in M Paredes, C Ferrás & Á Rocha (eds), Information Technology and Systems - Proceedings of ICITS 2019. Advances in Intelligent Systems and Computing, vol. 918, Springer Verlag, pp. 274-283, International Conference on Information Technology and Systems, ICITS 2019, Quito, Ecuador, 6/02/19. https://doi.org/10.1007/978-3-030-11890-7_27

Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem. / Crawford, Broderick ; Soto, Ricardo; Astorga, Gino et al.
Information Technology and Systems - Proceedings of ICITS 2019. ed. / Manolo Paredes; Carlos Ferrás; Álvaro Rocha. Springer Verlag, 2019. p. 274-283 (Advances in Intelligent Systems and Computing; Vol. 918).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem

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AU - Soto, Ricardo

AU - Astorga, Gino

AU - Lemus, José

AU - Salas-Fernández, Agustín

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

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KW - Project management

KW - Software Project Scheduling Problem

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M3 - Conference contribution

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SN - 9783030118891

T3 - Advances in Intelligent Systems and Computing

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Crawford B , Soto R, Astorga G, Lemus J, Salas-Fernández A. Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem. In Paredes M, Ferrás C, Rocha Á, editors, Information Technology and Systems - Proceedings of ICITS 2019. Springer Verlag. 2019. p. 274-283. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-11890-7_27

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

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Keywords

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