Particle Swarm Hybridized with Differential Evolution: Black-Box Optimization Benchmarking for Noisy Functions

Abstract

In 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.