Brian Lunday

Professor of Operations Research

Air Force Institute of Technology

United States

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Brian Lunday is a Professor of Operations Research at the Air Force Institute of Technology in the United States. His research focuses on various optimization problems in operations research, including vehicle routing, decision processes, and military applications such as air battle management and asset location for defense purposes. Recent articles include studies on collaborative vehicle routing, dynamic programming for military medical evacuation, and bilevel programming approaches in intruder detection.

Articles (13)

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2025

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2024

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2021

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2020

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2020

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2020

Collaborators (2)

Matthew Robbins

Associate Professor of Operations Research

Air Force Institute of Technology

UNITED STATES

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Bruce Cox

Assistant Professor

Air Force Institute of Technology

UNITED STATES

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Brian Lunday

Research Interests

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Articles (13)

A multiple asset-type, collaborative vehicle routing problem with proximal servicing of demands

Verifying new instances of the multidemand multidimensional knapsack problem with instance space analysis

The maximal covering location disruption problem

Solving nonstationary Markov decision processes via contextual decomposition: A military air battle management application

Improving defensive air battle management by solving a stochastic dynamic assignment problem via approximate dynamic programming

Intruder detection and interdiction modeling: A bilevel programming approach for ballistic missile defense asset location

Regulating the rebound effect in the traveling purchaser problem

Optimal heterogeneous search and rescue asset location modeling for expected spatiotemporal demands using historic event data

The weighted intruder path covering problem

Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies

Approximate dynamic programming for the military inventory routing problem

An approximate dynamic programming approach for comparing firing policies in a networked air defense environment

Robust goal programming for multi-objective optimization of data-driven problems: A use case for the United States transportation command's liner rate setting problem

Collaborators (2)

Matthew Robbins

Bruce Cox

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