MAAP: The military aircraft allocation planner

P. Abrahams, R. Balart, J. S. Byrnes, Douglas Cochran, M. J. Larkin, W. Moran, G. Ostheimer, A. Pollington

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Scopus citations

Abstract

We present an application of Genetic Algorithms to the field of large-scale allocation problems in which a collection of resources (assets) must be mapped in an optimal or near-optimal manner to a number of objectives (targets), as measured by an objective function. Such problems are complex due to their requirements for integer solutions, non-linear objective functions and linear asset constraints. Genetic Algorithms have turned out to be a natural fit for this application. In this paper, we summarize the scope of the MAAP tool prototype as delivered to the U.S. Air Force and indicate our plans for ongoing and future research.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Conference on Evolutionary Computation, ICEC
Editors Anon
PublisherIEEE
Pages336-341
Number of pages6
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98 - Anchorage, AK, USA
Duration: May 4 1998May 9 1998

Other

OtherProceedings of the 1998 IEEE International Conference on Evolutionary Computation, ICEC'98
CityAnchorage, AK, USA
Period5/4/985/9/98

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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  • Cite this

    Abrahams, P., Balart, R., Byrnes, J. S., Cochran, D., Larkin, M. J., Moran, W., Ostheimer, G., & Pollington, A. (1998). MAAP: The military aircraft allocation planner. In Anon (Ed.), Proceedings of the IEEE Conference on Evolutionary Computation, ICEC (pp. 336-341). IEEE.