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Authors: Jarrod Grewe 1 and Igor Griva 2

Affiliations: 1 Department of Computational and Data Sciences, George Mason University, 4400 University Dr Fairfax VA, U.S.A. ; 2 Department of Mathematical Sciences, George Mason University, 4400 University Dr Fairfax VA, U.S.A.

Keyword(s): Search Theory, Optimization, Search and Rescue, Agent-based Modeling, Search Planning.

Abstract: This paper introduces a new search planning methodology, nicknamed Pathfinder, that can optimize heterogeneous teams of mobile and stationary searchers. Unlike previously developed search methods, the new methodology applies an Agent-Based Model (ABM) to simulate target movement and behavior then uses nonlinear optimization methods to find optimal search plans for complex teams of searchers. We describe initial target location with a probability distribution influenced by evidence and environmental data. The ABM models target movement based on environmental and behavioral factors. Then, Pathfinder suggests a search plan that maximizes the probability of target detection and satisfies searcher requirements.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Grewe, J. and Griva, I. (2022). Optimizing Heterogeneous Maritime Search Teams using an Agent-based Model and Nonlinear Optimization Methods. In Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-548-7; ISSN 2184-4372, SciTePress, pages 200-207. DOI: 10.5220/0010869100003117

@conference{icores22,
author={Jarrod Grewe. and Igor Griva.},
title={Optimizing Heterogeneous Maritime Search Teams using an Agent-based Model and Nonlinear Optimization Methods},
booktitle={Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2022},
pages={200-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010869100003117},
isbn={978-989-758-548-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Optimizing Heterogeneous Maritime Search Teams using an Agent-based Model and Nonlinear Optimization Methods
SN - 978-989-758-548-7
IS - 2184-4372
AU - Grewe, J.
AU - Griva, I.
PY - 2022
SP - 200
EP - 207
DO - 10.5220/0010869100003117
PB - SciTePress

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