Ants can schedule software projects
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This paper presents the design of an algorithm based on Ant Colony Optimization paradigm to solve the Software Project Scheduling Problem. This problem consists in deciding who does what during the software project development, finding an optimal schedule for a project so that the precedence and resource constraints are satisfied and the final project cost and its duration are minimized. We present the design of an general ant algorithm to solve it. © Springer-Verlag Berlin Heidelberg 2013.
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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)
Conference PaperCrawford B.; Soto R.; Johnson F.; Vargas M.; Misra S.; Paredes F. (Springer Verlag, 2015)
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)