Matthew J. Robbins

According to our database, Matthew J. Robbins authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Characterizing military medical evacuation dispatching and delivery policies via a self-exciting spatio-temporal Hawkes process model.

Virbon B. Frial, Phillip R. Jenkins, Matthew J. Robbins

J. Oper. Res. Soc., July, 2024

2023

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

Joseph M. Liles IV, Matthew J. Robbins, Brian J. Lunday

Expert Syst. Appl., December, 2023

Solving the joint military medical evacuation problem via a random forest approximate dynamic programming approach.

Channel A. Rodriguez, Phillip R. Jenkins, Matthew J. Robbins

Expert Syst. Appl., July, 2023

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

Joseph M. Liles IV, Matthew J. Robbins, Brian J. Lunday

Eur. J. Oper. Res., 2023

2022

An approximate dynamic programming approach for solving an air combat maneuvering problem.

James B. Crumpacker, Matthew J. Robbins, Phillip R. Jenkins

Expert Syst. Appl., 2022

The weighted intruder path covering problem.

Adam B. Haywood, Brian J. Lunday, Matthew J. Robbins, Meir Pachter

Eur. J. Oper. Res., 2022

Partially autoregressive machine learning: Development and testing of methods to predict United States Air Force retention.

Joseph C. Hoecherl, Matthew J. Robbins, Brett J. Borghetti, Raymond R. Hill

Comput. Ind. Eng., 2022

2021

Approximate Dynamic Programming for Military Medical Evacuation Dispatching Policies.

Phillip R. Jenkins, Matthew J. Robbins, Brian J. Lunday

INFORMS J. Comput., 2021

Approximate dynamic programming for the military aeromedical evacuation dispatching, preemption-rerouting, and redeployment problem.

Phillip R. Jenkins, Matthew J. Robbins, Brian J. Lunday

Eur. J. Oper. Res., 2021

Analyzing the Impact of Triage Classification Errors on Military Medical Evacuation Dispatching Policies.

Emily S. Graves, Phillip R. Jenkins, Matthew J. Robbins

Proceedings of the Winter Simulation Conference, 2021

2020

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

Daniel S. Summers, Matthew J. Robbins, Brian J. Lunday

Comput. Oper. Res., 2020

Approximate dynamic programming for the military inventory routing problem.

Rebekah S. McKenna, Matthew J. Robbins, Brian J. Lunday, Ian M. McCormack

Ann. Oper. Res., 2020

2018

Optimal Policies for the Management of an Electric Vehicle Battery Swap Station.

Rebecca S. Widrick, Sarah G. Nurre, Matthew J. Robbins

Transp. Sci., 2018

Simulating attacker and defender strategies within a dynamic game on network topology.

Jared K. Nystrom, Matthew J. Robbins, Richard F. Deckro, James F. Morris

J. Simulation, 2018

Utilizing reliability modeling to analyze United States Air Force officer retention.

Jill A. Schofield, Christine L. Zens, Raymond R. Hill, Matthew J. Robbins

Comput. Ind. Eng., 2018

Examining military medical evacuation dispatching policies utilizing a Markov decision process model of a controlled queueing system.

Phillip R. Jenkins, Matthew J. Robbins, Brian J. Lunday

Ann. Oper. Res., 2018

2017

Heterogeneous surface-to-air missile defense battery location: a game theoretic approach.

Nicholas T. Boardman, Brian J. Lunday, Matthew J. Robbins

J. Heuristics, 2017

Approximate dynamic programming for missile defense interceptor fire control.

Michael T. Davis, Matthew J. Robbins, Brian J. Lunday

Eur. J. Oper. Res., 2017

2016

A Game Theoretic Model for the Optimal Location of Integrated Air Defense System Missile Batteries.

Chan Y. Han, Brian J. Lunday, Matthew J. Robbins

INFORMS J. Comput., 2016

A bilevel formulation of the pediatric vaccine pricing problem.

Matthew J. Robbins, Brian J. Lunday

Eur. J. Oper. Res., 2016

Approximate dynamic programming for the dispatch of military medical evacuation assets.

Aaron J. Rettke, Matthew J. Robbins, Brian J. Lunday

Eur. J. Oper. Res., 2016

Approximate dynamic programming algorithms for United States Air Force officer sustainment.

Joseph C. Hoecherl, Matthew J. Robbins, Raymond R. Hill, Darryl K. Ahner

Proceedings of the Winter Simulation Conference, 2016

2014

An Analytical Comparison of Social Network Measures.

Joshua D. Guzman, Richard F. Deckro, Matthew J. Robbins, James F. Morris, Nicholas A. Ballester

IEEE Trans. Comput. Soc. Syst., 2014

The Weighted Set Covering Game: A Vaccine Pricing Model for Pediatric Immunization.

Matthew J. Robbins, Sheldon H. Jacobson, Uday V. Shanbhag, Banafsheh Behzad

INFORMS J. Comput., 2014