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

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Part of the book series: Lecture Notes in Computer Science ((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.

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References

  1. G. Payne, “Anti-air lethality modelling,” Military Technology, vol. 19,no. 11, pp. 46–49, 1995.

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  2. J.R. Koza, Genetic Programming: on the Programming of Computers by Means of Natural Selection, MIT Press, Cambridge, MA, USA, 1992.

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  3. J.H. Holland, Adaption in Natural and Artificial Systems, University of Michigan Press, 1975.

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  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.

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© 2001 Springer-Verlag Berlin Heidelberg

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Nyongesa, H.O. (2001). Generation of Time-Delay Algorithms for Anti-air Missiles Using Genetic Programming. In: Boers, E.J.W. (eds) Applications of Evolutionary Computing. EvoWorkshops 2001. Lecture Notes in Computer Science, vol 2037. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45365-2_25

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  • DOI: https://doi.org/10.1007/3-540-45365-2_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41920-4

  • Online ISBN: 978-3-540-45365-9

  • eBook Packages: Springer Book Archive

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