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International Conference on Evolutionary Programming

EP 1998: Evolutionary Programming VII pp 591–600Cite as

Parameter selection in particle swarm optimization

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1447))

Abstract

This paper first analyzes the impact that inertia weight and maximum velocity have on the performance of the particle swarm optimizer, and then provides guidelines for selecting these two parameters. Analysis of experiments demonstrates the validity of these guidelines.

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References

  1. Angeling P. J. (1998), Using selection to improve particle swarm optimization, IEEE Intl. Conf. on Evolutionary Computation, Anchorage, AK, in press.

    Google Scholar 

  2. Davis, L., Ed. (1991), Handbook of Genetic Algorithms, New York, NY: Van Nostrand Reinhold

    Google Scholar 

  3. Eberhart, R. C., Dobbins, R. W., and Simpson, P. K. (1996), Computational Intelligence PC Tools, Boston: Academic Press.

    Google Scholar 

  4. Eberhart, R. C., and Kennedy, J. (1995). A new optimizer using particle swarm theory, Proc. Sixth Intl. Symp. on Micro Machine and Human Science (Nagoya, Japan), IEEE Service Center, Piscataway, NJ, 39–43.

    Google Scholar 

  5. Fogel, L. J. (1994), Evolutionary programming in perspective: the top-down view, in Computational Intelligence: Imitating Life, J.M. Zurada, R. J. Marks II, and C. J. Robinson, Eds., IEEE Press, Piscataway, NJ.

    Google Scholar 

  6. Goldberg, D. E. (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Reading, MA: Addison-Wesley.

    Google Scholar 

  7. Kennedy, J., and Eberhart, R. C. (1995). Particle swarm optimization, Proc. IEEE Intl. Conf. on Neural Networks, IEEE Service Center, Piscataway, NJ, IV: 1942–1948.

    Google Scholar 

  8. Kennedy, J. (1997), The particle swarm: social adaptation of knowledge, Proc. IEEE Intl. Conf. on Evolutionary Computation, IEEE Service Center, Piscataway, NJ, 303–308.

    Google Scholar 

  9. Koza, J. R. (1992), Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA.

    Google Scholar 

  10. Rechenberg, I. (1994), Evolution strategy, In Computational Intelligence: Imitating Life, J. M. Zurada, R. J. Marks II, and C. Robinson, Eds., IEEE Press, Piscataway, NJ.

    Google Scholar 

  11. Reynolds, R. G. (1994), An introduction to cultural algorithms, in Proc. 3rd Ann. Conf. On Evolutionary Programming, A. Sebald and D. Fogel, Eds., River Edge, NJ: World Scientific Publishing, 131–139.

    Google Scholar 

  12. Shi, Y. H., Eberhart, R. C., and Chen, Y. B. (1997), Design of evolutionary fuzzy expert system, Proc. 1997 Artificial Neural Networks in Engineering Conf.

    Google Scholar 

  13. Shi, Y. H., Eberhart, R. C., (1998), A modified particle swarm optimizer, IEEE Intl. Conf. on Evolutionary Computation, Anchorage, AK, in press.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, Indiana University Purdue University Indianapolis, 723 W. Michigan St., SL160, 46202, Indianapolis, IN

    Yuhui Shi & Russell C. Eberhart

Authors
  1. Yuhui Shi
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  2. Russell C. Eberhart
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Editor information

V. W. Porto N. Saravanan D. Waagen A. E. Eiben

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© 1998 Springer-Verlag Berlin Heidelberg

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Shi, Y., Eberhart, R.C. (1998). Parameter selection in particle swarm optimization. In: Porto, V.W., Saravanan, N., Waagen, D., Eiben, A.E. (eds) Evolutionary Programming VII. EP 1998. Lecture Notes in Computer Science, vol 1447. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0040810

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  • DOI: https://doi.org/10.1007/BFb0040810

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64891-8

  • Online ISBN: 978-3-540-68515-9

  • eBook Packages: Springer Book Archive

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