Date of Award
3-6-2006
Document Type
Thesis
Degree Name
Master of Science in Operations Research
Department
Department of Operational Sciences
First Advisor
John O. Miller, PhD
Abstract
The SCUD hunt problem that emerged during Operation Desert Storm has become a source of great interest to major commands like Air Combat Command. One of the metrics used to measure the effectiveness of our operations in a SCUD hunt is time to detect and target. We use the agent-based System Effectiveness and Analysis Simulation (SEAS) to provide a simulation environment in which all the elements of a SCUD hunt mission can adequately be modeled. Our Blue Force agents are modeled as multirole fighters, satellites and unmanned aerial vehicles (UAV) with various sensor capabilities. The Red Force agents are modeled as the SCUD transporter/erector/launcher (TEL). Particular interest is paid to the effectiveness of various sensors modeled in a set of scenarios following an experimental design. Four measures of performance (MOP) were fashioned to provide insight into the contribution of sensors at work in a SCUD hunt. These MOPs were evaluated to show any statistically significant differences between various mixes of sensors.
AFIT Designator
AFIT-GOR-ENS-06-16
DTIC Accession Number
ADA446175
Recommended Citation
Rucker, Jeffrey E., "Using Agent-Based Modeling to Search for Elusive Hiding Targets" (2006). Theses and Dissertations. 3444.
https://scholar.afit.edu/etd/3444