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Evolutionary programming strategies with self-adaptation applied to the design of rotorcraft using parallel processing

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Book cover Evolutionary Programming VII (EP 1998)

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

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Abstract

This paper describes an implementation of an evolutionary programming (EP) strategy with self-adaptation applied to the design of a helicopter rotor. We describe the behavior of our comprehensive rotor analysis code and illustrate why it is well suited for coupling with a nonderivative-based optimization scheme. We also show results from earlier gradient-based calculations and illustrate how we are creating a hybrid method of optimization that takes advantage of the best properties of each method. Both our gradient and EP strategies are implemented using a message passing paradigm which allows our codes to be run on a cluster of generic UNIX workstations or on a dedicated MPP, such as the IBM SP2.

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References

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Authors and Affiliations

  1. Boeing Philadelphia, P. O. Box 16858 M/S P29-32, 19142-0858, Philadelphia, Pennsylvania

    Joel E. Hirsh & Darrell K. Young

Authors
  1. Joel E. Hirsh
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  2. Darrell K. Young
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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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Hirsh, J.E., Young, D.K. (1998). Evolutionary programming strategies with self-adaptation applied to the design of rotorcraft using parallel processing. 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/BFb0040768

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  • DOI: https://doi.org/10.1007/BFb0040768

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64891-8

  • Online ISBN: 978-3-540-68515-9

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