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

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

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

SCHOOL OF COMPUTER ENGINEERING

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 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 - 1 Jan 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	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

Fingerprint Dive into the research topics of 'Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem'. Together they form a unique fingerprint.

Cite this

CRAWFORD LABRIN, BRODERICK., SOTO DE GIORGIS, RICARDO. JAVIER., 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

CRAWFORD LABRIN, BRODERICK ; SOTO DE GIORGIS, RICARDO JAVIER ; Astorga, Gino ; Lemus, José ; Salas-Fernández, Agustín. / Self-configuring Intelligent Water Drops Algorithm for Software Project Scheduling Problem. Information Technology and Systems - Proceedings of ICITS 2019. editor / Manolo Paredes ; Carlos Ferrás ; Álvaro Rocha. Springer Verlag, 2019. pp. 274-283 (Advances in Intelligent Systems and Computing).

@inproceedings{cd539a8bb6734041a369aac610b74689,

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 = "{CRAWFORD LABRIN}, BRODERICK and {SOTO DE GIORGIS}, {RICARDO JAVIER} and Gino Astorga and Jos{\'e} Lemus and Agust{\'i}n Salas-Fern{\'a}ndez",

year = "2019",

month = jan,

day = "1",

doi = "10.1007/978-3-030-11890-7_27",

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",

booktitle = "Information Technology and Systems - Proceedings of ICITS 2019",

note = "null ; Conference date: 06-02-2019 Through 08-02-2019",

}

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

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

TY - GEN

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

AU - CRAWFORD LABRIN, BRODERICK

AU - SOTO DE GIORGIS, RICARDO JAVIER

AU - Astorga, Gino

AU - Lemus, José

AU - Salas-Fernández, Agustín

PY - 2019/1/1

Y1 - 2019/1/1

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.

KW - Intelligent water drops

KW - Project management

KW - Software Project Scheduling Problem

UR - http://www.scopus.com/inward/record.url?scp=85061357896&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-11890-7_27

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

M3 - Conference contribution

AN - SCOPUS:85061357896

SN - 9783030118891

T3 - Advances in Intelligent Systems and Computing

SP - 274

EP - 283

BT - Information Technology and Systems - Proceedings of ICITS 2019

A2 - Paredes, Manolo

A2 - Ferrás, Carlos

A2 - Rocha, Álvaro

PB - Springer Verlag

Y2 - 6 February 2019 through 8 February 2019

ER -

CRAWFORD LABRIN BRODERICK , SOTO DE GIORGIS RICARDOJAVIER, 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). https://doi.org/10.1007/978-3-030-11890-7_27

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

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this