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Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors

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Advances in Self-Organizing Maps (WSOM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5629))

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Abstract

This study proposes Network-Structured Particle Swarm Optimizer (NS-PSO) with various neighborhood topology. The proposed PSO has the various network topology as rectangular, hexagonal, cylinder and toroidal. We apply NS-PSO with various topology to optimization problems. We investigate their behaviors and evaluate what kind of topology would be the most appropriate for each function.

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References

  1. Kennedy, J., Eberhart, R.C.: Particle swarm optimization. In: Proc. of IEEE. Int. Conf. on Neural Netw., pp. 1942–1948 (1995)

    Google Scholar 

  2. Kohonen, T.: Self-organizing Maps. Springer, Berlin (1995)

    Book  MATH  Google Scholar 

  3. Kennedy, J.: Small worlds and mega-minds: effects of neighborhood topology on particle swarm performance. In: Proc. of Cong. on Evolut. Comput., pp. 1931–1938 (1999)

    Google Scholar 

  4. Kennedy, J., Mendes, R.: Population structure and particle swarm performance. In: Proc. of Cong. on Evolut. Comput., pp. 1671–1676 (2002)

    Google Scholar 

  5. Mendes, R., Kennedy, J., Neves, J.: The Fully Informed Particle Swarm: Simpler, Maybe Better. IEEE Trans. Evolut. Comput. 8(3), 204–210 (2004)

    Article  Google Scholar 

  6. Lane, J., Engelbrecht, A., Gain, J.: Particle Swarm Optimization with Spatially Meaningful Neighbours. In: Proc. of IEEE Swarm Intelligence Symposium, pp. 1–8 (2008)

    Google Scholar 

  7. Akat, S.B., Gazi, V.: Particle Swarm Optimization with Dynamic Neighborhood Topology: Three Neighborhood Strategies and Preliminary Results. In: Proc. of IEEE Swarm Intelligence Symposium, pp. 1–8 (2008)

    Google Scholar 

  8. Matsushita, H., Nishio, Y.: Network-Structured Particle Swarm Optimizer Considering Neighborhood Relationships. In: Proc. of IEEE. Int. Jont Conf. on Neural Netw. (accepted, 2009)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Matsushita, H., Nishio, Y. (2009). Network-Structured Particle Swarm Optimizer with Various Topology and Its Behaviors. In: Príncipe, J.C., Miikkulainen, R. (eds) Advances in Self-Organizing Maps. WSOM 2009. Lecture Notes in Computer Science, vol 5629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02397-2_19

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  • DOI: https://doi.org/10.1007/978-3-642-02397-2_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02396-5

  • Online ISBN: 978-3-642-02397-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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