- author = "Frank W. Moore and Oscar N. Garcia",
- title = "A Methodology for Strategy Optimization Under Uncertainty in the Extended Two-Dimensional Pursuer/Evader Problem",
- booktitle = "Proceedings: Eighth Midwest Artificial Intelligence and Cognitive Science Conference (MAICS-97)",
- year = "1997",
- editor = "E. {Santos Jr.}",
- pages = "58--65",
- publisher = "AAAI Press",
- note = "AAAI Technical Report CF-97-01",
- keywords = "genetic algorithms, genetic programming, SAM, E2DPE, SA-6, SA-13, SA-15",
-
URL = "
http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/moore/moore.maics97.ps.gz",
- size = "8 pages",
- abstract = "To solve the extended two-dimensional pursuer/evader problem, a strategy must be identified by which an evader such as an F-16C fighter aircraft may manoeuvre to successfully evade pursuers (such as surface-to-air missiles) launched from a wide range of potentially lethal relative initial positions. Uncertainty about the type of pursuer introduces a degree of complexity that is difficult to model using traditional analytic or control-theoretic approaches. This paper describes the implementation of a genetic programming system that uses training populations reflecting specific probability distributions to evolve optimized solutions to the extended two-dimensional pursuer/evader problem under conditions of uncertainty about the type of pursuer.",
-
notes = "Some formatting difficulties with moore.maics97.ps Try
moore.maics97.pdf
",
