García Nieto, José ManuelAlba, EnriqueApolloni, Javier2021-05-122021-05-122009García Nieto, J.M., Alba, E. y Apolloni, J. (2009). Particle Swarm Hybridized with Differential Evolution: Black-Box Optimization Benchmarking for Noisy Functions. En GECCO 2009: 11th annual conference on Genetic and evolutionary computation (2343-2350), Montreal, QC, Canada: ACM Digital Library.978-1-60558-505-5https://hdl.handle.net/11441/108903In this work we evaluate a Particle Swarm Optimizer hy- bridized with Di®erential Evolution and apply it to the Black- Box Optimization Benchmarking for noisy functions (BBOB 2009). We have performed the complete procedure estab- lished in this special session dealing with noisy functions with dimension: 2, 3, 5, 10, 20, and 40 variables. Our pro-posal obtained an accurate level of coverage rate, despite the simplicity of the model and the relatively small number of function evaluations used.application/pdf7engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/BenchmarkingBlack-box optimizationNoisy FunctionsHybrid AlgorithmsParticle SwarmDifferential Evolutioninfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1145/1570256.1570327