An alternative solution to the software project scheduling problem
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Due to the competitiveness of the software industry a more stressful tasks for software project managers allocation of the human resources to the different tasks that perform the project. This is not an easy task and it is necessary that is computationally supported since every day projects are larger and these should be developed in the shortest time and possible costs.We propose to use a constructive metaheuristics called IntelligentWater Drops. In this paper the result are compared with another constructive metaheuristics obtaining promising performance. © Springer International Publishing Switzerland 2016.
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A new approach to solve the software project scheduling problem based on max–min ant system (2020) Crawford B.; Soto R.; Johnson F.; Monfroy E.; Paredes F. (Springer Verlag, 2014)
Software project scheduling using the Hyper-Cube ant colony optimization algorithm [Programiranje računarskog projekta primjenom Hyper-Cube algoritma za optimizaciju kolonije mrava] (2020) Crawford B.; Soto R.; Johnson F.; Misra S.; Paredes F.; Olguín E. (Strojarski Facultet, 2015)
Conference PaperCrawford B.; Soto R.; Johnson F.; Monfroy E. (Springer Verlag, 2013)