Skip to main content
SpringerLink
Log in

A genetic programming methodology for missile countermeasures optimization under uncertainty

  • Conference paper
  • First Online:
Book cover Evolutionary Programming VII (EP 1998)

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

Included in the following conference series:

Abstract

This paper describes a new methodology for using genetic programming to solve the missile countermeasures optimization problem. The resulting system evolves programs that combine maneuvers with additional countermeasures to optimize aircraft survivability under conditions of uncertainty.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ball, R. E., 1985. The Fundamentals of Aircraft Combat Survivability Analysis and Design, AIAA Education Series, AIAA Inc.

    Google Scholar 

  2. Barron, R. L., 1995. “Reduced-Computation End-Game Steering Laws for Predictive Guidance”, in Journal of Guidance, Control, and Dynamics, Vol. 18 No 2, March-April 1995, pp. 306–315, AIAA Inc.

    Google Scholar 

  3. Bryson, A. E. and Y. Ho, 1969. Applied Optimal Control, Blaisdell Publishing.

    Google Scholar 

  4. Cullen, T. and C. Foss, 1995. Jane's Land-Based Air Defence: 1995–1996, Jane's Information Group, Inc.

    Google Scholar 

  5. Koza, J. R., 1992. Genetic Programming: On the Programming of Computers by Means of Natural Selection, MIT Press.

    Google Scholar 

  6. Krasovskii, N. N. and A. I. Subbotin, 1988. Game-Theoretical Control Problems, Springer-Verlag.

    Google Scholar 

  7. Lambert, M. and K. Munson (eds.), 1994. Jane's All the World's Aircraft: 1994–1995, Jane's Information Group, Inc.

    Google Scholar 

  8. Lin, C.-F., 1991. Modern Navigation, Guidance, and Control Processing, Prentice-Hall.

    Google Scholar 

  9. Moore, F. W. and O. N. Garcia, 1997a. “A Genetic Programming Approach to Strategy Optimization in the Extended Two-Dimensional Pursuer/Evader Problem”, in Koza, J. R. et al (eds.), Genetic Programming 1997: Proceedings of the Second Annual Conference, pp. 249–254, Morgan Kaufmann Publishers.

    Google Scholar 

  10. Moore, F. W. and O. N. Garcia, 1997b. “A Methodology for Strategy Optimization Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem”, in Santos, E. Jr. (ed.), Proceedings: Eighth Midwest Artificial Intelligence and Cognitive Science Conference, pp. 58–65, AAAI Technical Report CF-97-01, AAAI Press.

    Google Scholar 

  11. Moore, F. W. and O. N. Garcia, 1997c. “A New Methodology for Optimizing Evasive Maneuvers Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem”, in Proceedings: Ninth International Conference on Tools with Artificial Intelligence, pp. 278–285, IEEE Computer Society.

    Google Scholar 

  12. Shinar, J. and D. Steinberg, 1977. “Analysis of Optimal Evasive Maneuvers Based on a Linearized Two-Dimensional Model”, in Journal of Aircraft, Vol. 14, August 1977, pp. 795–802.

    Google Scholar 

  13. Zarchan, P., 1994. Tactical and Strategic Missile Guidance (Second Edition), Progress in Astronautics and Aeronautics Vol. 157, AIAA, Inc.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, University of Dayton, 300 College Park, 45469-2160, Dayton, OH

    Frank W. Moore

  2. Department of Computer Science & Engineering 303 Russ Engineering Center, Wright State University, 45435, Dayton, OH

    Oscar N. Garcia

Authors
  1. Frank W. Moore
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Oscar N. Garcia
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

V. W. Porto N. Saravanan D. Waagen A. E. Eiben

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Moore, F.W., Garcia, O.N. (1998). A genetic programming methodology for missile countermeasures optimization under uncertainty. 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/BFb0040789

Download citation

  • DOI: https://doi.org/10.1007/BFb0040789

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64891-8

  • Online ISBN: 978-3-540-68515-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation