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Maintaining Population Diversity in Evolution Strategy for Engineering Problems

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New Frontiers in Applied Artificial Intelligence (IEA/AIE 2008)

Abstract

In the paper three new mechanisms for maintaining population diversity in (μ,λ)-evolution strategies are introduced: deterministic modification of standard deviations, crowding, and elitism. The proposed mechanisms are experimentally verified with the use of optimal shape designing of rotating variable-thickness annular elastic discs problem.

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References

  1. Bäck, T., Fogel, D., Whitley, D., Angeline, P.: Mutation. In: Bäck, T., Fogel, D., Michalewicz, Z. (eds.) Handbook of Evolutionary Computation, IOP Publishing and Oxford University Press (1997)

    Google Scholar 

  2. Bäck, T., Schwefel, H.-P.: An overview of evolutionary algorithms for parameter optimisation. Evolutionary Computation 1(1) (1993)

    Google Scholar 

  3. Bäck, T., Schwefel, H.-P.: Evolutionary computation: An overview. In: Proceedings of the Third IEEE Conference on Evolutionary Computation, IEEE Press, Piscataway NJ (1996)

    Google Scholar 

  4. Booker, L., Fogel, D., Whitley, D., Angeline, P.: Recombination. In: Bäck, T., Fogel, D., Michalewicz, Z. (eds.) Handbook of Evolutionary Computation, IOP Publishing and Oxford University Press (1997)

    Google Scholar 

  5. Dębski, R., Dreżewski, R., Kisiel-Dorohinicki, M.: Preserving diversity in evolution strategy for shape design of rotating elastic disc. In: Proceedings of the 6th Conference on Evolutionary Algorithms and Global Optimization (KAEiOG 2003), University of Zielona Góra (2003)

    Google Scholar 

  6. Dębski, R., Woźniak, G., Dreżewski, R., Kisiel-Dorohinicki, M.: Evolutionary strategy for shape design of rotating variable-thickness annular elastic disc. In: Proceedings of the Symposium on Methods of Artificial Intelligence (AI-METH 2002), Gliwice, Silesian University of Technology (2002)

    Google Scholar 

  7. Rudolph, G.: Evolution strategies. In: Bäck, T., Fogel, D., Michalewicz, Z. (eds.) Handbook of Evolutionary Computation, IOP Publishing and Oxford University Press (1997)

    Google Scholar 

  8. Schwefel, H.-P.: Numerical Optimization of Computer Models. John Willey & Sons, Ltd., Chichester (1981)

    MATH  Google Scholar 

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Ngoc Thanh Nguyen Leszek Borzemski Adam Grzech Moonis Ali

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© 2008 Springer-Verlag Berlin Heidelberg

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Dębski, R., Dreżewski, R., Kisiel-Dorohinicki, M. (2008). Maintaining Population Diversity in Evolution Strategy for Engineering Problems. In: Nguyen, N.T., Borzemski, L., Grzech, A., Ali, M. (eds) New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science(), vol 5027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69052-8_40

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  • DOI: https://doi.org/10.1007/978-3-540-69052-8_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69045-0

  • Online ISBN: 978-3-540-69052-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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