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On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence

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Genetic and Evolutionary Computation — GECCO 2003 (GECCO 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2723))

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Abstract

In this paper, some guidelines for setting the parameters of quantum-inspired evolutionary algorithm (QEA) are presented. Although the performance of QEA is excellent, there is relatively little or no research on the effects of different settings for its parameters. The guidelines are drawn up based on extensive experiments.

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References

  1. Han, K.-H., Kim, J.-H.: Quantum-inspired Evolutionary Algorithm for a Class of Combinatorial Optimization. IEEE Trans. Evol. Comput. 6 (2002) 580–593

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  2. Kim, K.-H., Hwang, J.-Y., Han, K.-H., Kim, J.-H., Park, K.-H.: A Quantum-inspired Evolutionary Computing Algorithm for Disk Allocation Method. IEICE Trans. Inf. & Syst., E86-D (2003) 645–649

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  3. Jang, J.-S., Han, K.-H., Kim, J.-H.: Quantum-inspired Evolutionary Algorithm-based Face Verification. Proc. Genet. & Evol. Comput. Conf. (2003)

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Korea Advanced Institute of Science and Technology (KAIST), Guseong-dong, Yuseong-gu, Daejeon, 305-701, Republic of Korea

    Kuk-Hyun Han & Jong-Hwan Kim

Authors
  1. Kuk-Hyun Han
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  2. Jong-Hwan Kim
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Editor information

Editors and Affiliations

  1. Lawrence Livermore National Laboratory, Center for Applied Scientific Computing (CASC), 7000 East Avenue, L-561, Livermore, CA, 94550, USA

    Erick Cantú-Paz

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© 2003 Springer-Verlag Berlin Heidelberg

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Han, KH., Kim, JH. (2003). On Setting the Parameters of QEA for Practical Applications: Some Guidelines Based on Empirical Evidence. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45105-6_52

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  • DOI: https://doi.org/10.1007/3-540-45105-6_52

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40602-0

  • Online ISBN: 978-3-540-45105-1

  • eBook Packages: Springer Book Archive

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