Mısra, SanjayCrawford, BroderickSoto, RicardoAstorga, GinoCastro, CarlosParedes, FernandoMisra, SanjayRubio, Jose-MiguelComputer Engineering2024-07-052024-07-05201851330-36511848-633910.17559/TV-201606292243482-s2.0-85045935550https://doi.org/10.17559/TV-20160629224348https://hdl.handle.net/20.500.14411/2675Misra, Sanjay/0000-0002-3556-9331; Rubio, Jose-Miguel/0000-0003-0377-4397Within 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.eninfo:eu-repo/semantics/openAccesscombinational optimizationcomputational intelligenceintelligent water dropsmetaheuristicssoftware project scheduling problemArticleQ4Q3252350357WOS:000430936800007