Izvorni znanstveni članak

https://doi.org/10.17559/TV-20160629224348

Solving the Software Project Scheduling Problem Using Intelligent Water Drops

Broderick Crawford orcid.org/0000-0001-5500-0188 ; Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2950, Valparaíso, Chile
Ricardo Soto orcid.org/0000-0001-5685-2905 ; Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2950, Valparaíso, Chile
Gino Astorga ; Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2950, Valparaíso, Chile / Universidad de Valparaíso, Prat 856, Valparaíso, Chile
Carlos Castro orcid.org/0000-0003-4149-7730 ; Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso, Chile
Fernando Paredes ; Escuela de Ingeniería Industrial, Universidad Diego Portales, Manuel Rodríguez Sur 415, Santiago, Chile
Sanjay Misra ; Department of Computer and information Science, Covenant University, Nigeria / Atilim University, 06836 – Incek, Ankara Turkey
José-Miguel Rubio orcid.org/0000-0003-0377-4397 ; Universidad Tecnológica de Chile INACAP, Brown Norte 260, Ñuñoa, Chile

Sažetak

Within the category of project scheduling problems, there is a specific problem within the software industry referred to as the software project scheduling problem. The problem consists in the correct allocation of employees to the different tasks that make up a software project, bearing in mind time and cost restraints. To achieve this goal, the present work first uses metaheuristic intelligent water drops illustrating; this is a recent stochastic swarm-based method increasingly used for solving optimization problems. Finally, the results and comparisons with experiments performed with other techniques are presented, demonstrating the solidity of the approach presented.

Ključne riječi

combinational optimization; computational intelligence; intelligent water drops; metaheuristics; software project scheduling problem

Hrčak ID:

199130

URI

https://hrcak.srce.hr/199130

Datum izdavanja:

21.4.2018.

Posjeta: 2.304 *