A modular simulation framework for assessing swarm search models

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Authors
Wanier, Blake M.
Subjects
Swarm Search
Search Theory
Modeling Framework
JMP
MATLAB
Analysis Tool
Modular
UAV
UXS
ASW
Advisors
Chung, Timothy H.
Date of Issue
2014-09
Date
Sep-14
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The ability to utilize large numbers of unmanned systems as search agents allows the implementation of different search strategies that are not currently explored utilizing today’s search decision support and analysis tools. This thesis develops a framework in MATLAB that allows the investigation of search strategies that utilize large numbers, or a swarm, of search agents. By implementing a modular design, multiple aspects of the search, such as tactics, searcher characteristics, and target characteristics, can easily be varied and analyzed. Utilizing JMP to perform statistical analysis, future design requirements can be refined in order to advise decision makers on possible alternatives and trade spaces for optimizing swarm search performance. Numerical studies demonstrate the ability to leverage the developed simulation and analysis framework to investigate three canonical swarm search models as benchmarks for future exploration of more sophisticated swarm search scenarios.
Type
Thesis
Description
Series/Report No
Department
Operations Research
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
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.
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