Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions

In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the BlackBox Optimization Benchmarking for noisy functions (BBOB 2009). We have performed the complete procedure established in this special session dealing with noisy functions with dimension: 2, 3, 5, 10, 20, and 40 variables. Our proposal obtained an accurate level of coverage rate, despite the simplicity of the model and the relatively small number of function evaluations used. Categories and Subject Descriptors

• Type: Conference
• Year: 2009
• Where: GECCO
• Authors: José García-Nieto, Enrique Alba, Javier Apolloni
• Keywords: BlackBox Optimization, GECCO 2009, Noisy Functions, Optimization, Particle Swarm Optimizer