A Max-Min Ant System algorithm to solve the Software Project Scheduling Problem

Broderick Crawford, Ricardo Soto, Franklin Johnson, Eric Monfroy, Fernando Paredes

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

29 Citas (Scopus)

Resumen

The Software Project Scheduling Problem is a specific Project Scheduling Problem present in many industrial and academic areas. This problem consists in making the appropriate worker-task assignment in a software project so the cost and duration of the project are minimized. We present the design of a Max-Min Ant System algorithm using the Hyper-Cube framework to solve it. This framework improves the performance of the algorithm. We illustrate experimental results and compare with other techniques demonstrating the feasibility and robustness of the approach, while reaching competitive solutions.

Idioma originalInglés
Páginas (desde-hasta)6634-6645
Número de páginas12
PublicaciónExpert Systems with Applications
Volumen41
N.º15
DOI
EstadoPublicada - 1 nov. 2014
Publicado de forma externa

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