29 August 2001 Distributed course-of-action planning using genetic algorithms, XML, and JMS
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Future command and control (C2) systems must be constructed in such a way that they are extensible both in terms of the kinds of scenarios they can handle and the type of manipulations that they support. This paper presents an open architecture that uses commercial standards and implementations where appropriate. The discussion is framed by our ongoing work with a course of action planner and generator that uses genetic algorithms together with an abstract wargamer to suggest a small number of possible COAs (FOX).
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harald Ruda, Janet Burge, Peter Aykroyd, Jeffrey Sander, Dennis Okon, Greg L. Zacharias, "Distributed course-of-action planning using genetic algorithms, XML, and JMS", Proc. SPIE 4396, Battlespace Digitization and Network-Centric Warfare, (29 August 2001); doi: 10.1117/12.438323; https://doi.org/10.1117/12.438323

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