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Using Network Science to Define a Dynamic Communication Topology for Particle Swarm Optimizers

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We propose here to use network sciences, specifically an approach based on the Barabási-Albert model, to define a dynamic communication topology for Particle Swarm Optimizers. We compared our proposal to previous approaches, including a simpler Barabási-Albert-based approach and other most used approaches, and we obtained better results in average for well known benchmark functions.

@incollection{oliveira2013network,
  title={Using Network Science to Define a Dynamic Communication Topology for Particle Swarm Optimizers},
  ISBN={9783642302879},
  ISSN={1860-9503},
  url={http://dx.doi.org/10.1007/978-3-642-30287-9_5},
  DOI={10.1007/978-3-642-30287-9_5},
  booktitle={Complex Networks},
  publisher={Springer Berlin Heidelberg},
  author={Oliveira, Marcos A. C. and Bastos Filho, Carmelo J. A. and Menezes, Ronaldo},
  year={2013},
  pages={39–47}
}