Distributed course-of-action planning using genetic algorithms, XML, and JMS

Harald Ruda; Janet Burge; Peter Aykroyd; Jeffrey Sander; Dennis Okon; Greg L. Zacharias

doi:10.1117/12.438323

29 August 2001 Distributed course-of-action planning using genetic algorithms, XML, and JMS

Harald Ruda, Janet Burge, Peter Aykroyd, Jeffrey Sander, Dennis Okon, Greg L. Zacharias

Proceedings Volume 4396, Battlespace Digitization and Network-Centric Warfare; (2001) https://doi.org/10.1117/12.438323
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

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).

Citation Download Citation

Harald Ruda, Janet Burge, Peter Aykroyd, Jeffrey Sander, Dennis Okon, and 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); https://doi.org/10.1117/12.438323

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