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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Angeling P. J. (1998), Using selection to improve particle swarm optimization, IEEE Intl. Conf. on Evolutionary Computation, Anchorage, AK, in press.
Davis, L., Ed. (1991), Handbook of Genetic Algorithms, New York, NY: Van Nostrand Reinhold
Eberhart, R. C., Dobbins, R. W., and Simpson, P. K. (1996), Computational Intelligence PC Tools, Boston: Academic Press.
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.
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.
Goldberg, D. E. (1989), Genetic Algorithms in Search, Optimization, and Machine Learning, Reading, MA: Addison-Wesley.
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.
Kennedy, J. (1997), The particle swarm: social adaptation of knowledge, Proc. IEEE Intl. Conf. on Evolutionary Computation, IEEE Service Center, Piscataway, NJ, 303–308.
Koza, J. R. (1992), Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA.
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.
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.
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.
Shi, Y. H., Eberhart, R. C., (1998), A modified particle swarm optimizer, IEEE Intl. Conf. on Evolutionary Computation, Anchorage, AK, in press.
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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
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Online ISBN: 978-3-540-68515-9
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