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Generation of Time-Delay Algorithms for Anti-air Missiles Using Genetic Programming

  • Henry O. Nyongesa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2037)

Abstract

This paper describes the application of genetic programming to generate algorithms for control of time-delays in anti-air missiles equipped with proximity fuzes. Conventional algorithms for determining these delay-times rely on human effort and experience, and are generally deficient. It is demonstrated that by applying genetic programming determination of the timing can be automated and made near-optimal.

Keywords

Genetic Programming Conventional Algorithm Approach Angle Genetic Programming System Algorithm Genetic Programming 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    G. Payne, “Anti-air lethality modelling,” Military Technology, vol. 19,no. 11, pp. 46–49, 1995.Google Scholar
  2. 2.
    J.R. Koza, Genetic Programming: on the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA, USA, 1992.zbMATHGoogle Scholar
  3. 3.
    J.H. Holland, Adaption in Natural and Artificial Systems, University of Michigan Press, 1975.Google Scholar
  4. 4.
    F.W. Moore, “Genetic programming solves the three-dimensional missile counter-measures optimization problem under uncertainty,” in Genetic Programming 1998: Proceedings of the Third Annual Conference, John R. Koza, et al Eds., University of Wisconsin, 22-25 July 1998, pp. 242–245, Morgan Kaufmann.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • Henry O. Nyongesa
    • 1
  1. 1.School of Computing and Management SciencesSheffield Hallam UniversitySheffieldUK

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