Mısra, SanjayCrawford, BroderickSoto, RicardoJohnson, FranklinMisra, SanjayParedes, FernandoOlguin, EduardoComputer Engineering2024-07-052024-07-05201561330-36511848-633910.17559/TV-201405192128132-s2.0-84946059895https://doi.org/10.17559/TV-20140519212813https://hdl.handle.net/20.500.14411/792johnson, franklin/0000-0003-4522-3809; Misra, Sanjay/0000-0002-3556-9331; Crawford, Broderick/0000-0001-5500-0188This paper introduces a proposal of design of Ant Colony Optimization algorithm paradigm using Hyper-Cube framework to solve the Software Project Scheduling Problem. This NP-hard problem consists in assigning tasks to employees in order to minimize the project duration and its overall cost. This assignment must satisfy the problem constraints and precedence between tasks. The approach presented here employs the Hyper-Cube framework in order to establish an explicitly multidimensional space to control the ant behaviour. This allows us to autonomously handle the exploration of the search space with the aim of reaching encouraging solutions.eninfo:eu-repo/semantics/openAccessAnt Colony OptimizationHyper-CubeschedulingSoftware Project ManagementArticleQ4Q322511711178WOS:000363986400012