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

  • Authors:

  • José García-Nieto;Enrique Alba;Javier Apolloni

  • Affiliations:

  • University of Málaga, Málaga, Spain;University of Málaga, Málaga, Spain;University of San Luis, San Luis, Argentina

  • Venue:
  • Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
  • Year:
  • 2009

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Abstract

In this work we evaluate a Particle Swarm Optimizer hybridized with Differential Evolution and apply it to the Black-Box 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.