Genetic algorithms in the Battlespace Terrain Reasoning and Awareness-Battle Command (Btra-Bc) battle engine
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Authors
Maroon, Kenneth J.
Subjects
Advisors
Blais, Curtis
Appleget, Jeff
Date of Issue
2009-09
Date
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The U.S. Army Corps of Engineers Research and Development Center's (ERDC) Battlespace Terrain Reasoning and Awareness-Battle Command (BTRA-BC) Battle Engine (BBE) is a tool that enables command staffs to semi-automate the creation and evaluation of potential courses of action (COA) for use in military planning. The BBE uses data generated during the initial steps of the Military Decision Making Process (MDMP) and a genetic algorithm to produce and evaluate a population of COAs. This thesis provides a basic background of both the MDMP and genetic algorithms. It describes the features of the BBE and the parameters that control its genetic algorithm. The thesis describes an experiment to test the genetic algorithm parameter effects on the BBE search results. The results of this experiment and research are used to provide recommendations to improve the performance and functionality of the BBE.
Type
Thesis
Description
Series/Report No
Department
Organization
Naval Postgraduate School
Identifiers
NPS Report Number
Sponsors
Funder
Format
xviii, 99 p. : col. ill. ;
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.