Abstract—This paper introduces a new methodology, nicknamed Pathfinder, for finding optimal search paths for searchers that can transport and deploy other searchers. The methodology applies an Agent-Based Model to model target movement, then uses nonlinear optimization methods to find optimal search plans. This methodology can optimize these search teams effectively and quickly. Pathfinder significantly increase probability of detection and decreases travel distance. In addition to advancing Search Theory, this methodology also has the potential to enhance current search and rescue (SAR) and anti-submarine warfare (ASW) operations.
Index Terms—Simulation, search theory, search and rescue, nonlinear optimization, agent based modeling.
J. K. Grewe is with George Mason University, Fairfax, VA 22030 USA (e-mail: jgrewe@gmu.edu).
I. Griva is with Department of Mathematical Sciences, George Mason University, Fairfax, VA 22030 USA (e-mail: igriva@gmu.edu).
Cite: Jarrod K. Grewe and Igor Griva, "Optimizing Searchers that can Transport and Deploy another Searcher Using an Agent Based Model and Nonlinear Optimization Methods in a Maritime Domain," International Journal of Modeling and Optimization vol. 12, no. 4, pp. 136-141, 2022.
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