- author = "F. W. Moore and O. N. Garcia",
- title = "A New Methodology for Optimizing Evasive Maneuvers Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem",
- booktitle = "Proceedings of the Ninth IEEE International Conference on Tools with Artificial Intelligence (ICTAI-97)",
- year = "1997",
- editor = "E. {Santos Jr.}",
- pages = "278--285",
- address = "Newport Beach, CA, USA",
- month = "3-8 " # nov,
- keywords = "genetic algorithms, genetic programming",
- ISBN = "0-8186-8203-5",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/moore/moore.ictai.ps.gz",
-
DOI = "
doi:10.1109/TAI.1997.632267",
- size = "8 pages",
- abstract = "Traditional analytic or control-theoretic solutions to the problem of optimising evasive manoeuvres in the extended two-dimensional pursuer/evader problem require the evader to execute specific sequences of maneuvers at precise pursuer/evader distances. These solutions depend upon several pursuer-specific characteristics, and fail to effectively account for uncertainty about the state of the pursuer. This paper describes the implementation of a genetic programming system that evolves optimised solutions to the extended two-dimensional pursuer/evader problem that do not depend upon knowledge of the pursuer's current state. Best-of-run programs execute strategies by which an evader may manoeuvre to successfully evade a pursuer starting from a wide range of relative initial positions, under conditions where the state of the pursuer is unknown or uncertain",
-
notes = "moore.ictai.ps.gz some formating difficulties, fig 6
lost
",
