Selected Publications

* Undergraduate coauthor

• Analysis of Evolved Response Threhsolds for Decentralized Dynamic Task Allocation
  H. David Mathias, Annie S. Wu, and Daniel Dang*
  ACM Transactions on Evolutionary Learning and Optimization, To appear.
• Evolved Response Thresholds Generalize Across Problem Instances for a Deterministic-Response Multiagent System
  H. David Mathias, Annie S. Wu, and Daniel Dang*
  GECCO '21 Proceedings of the Genetic and Evolutionary Computation Conference Companion
  Lille, France, July 2021
  DOI: 10.1145/3449726.3459522
• A Biologically-Inspired Model for Mass Extinction in Genetic Algorithms
  Kaelan Engholdt* and H. David Mathias
  Proceedings of the IEEE Congress on Evolutionary Computation
  Krakow, June 2021
  DOI: 10.1109/CEC45853.2021.9504851
• Evolutionary Optimization of Cooperative Strategies for the Iterated Prisoner's Dilemma
  Jessica J. Finocchiaro and H. David Mathias
  IEEE Transactions on Games, 13(2), 170-179.
  DOI: 10.1109/TG.2020.3005124
• Comparison of Desynchronization Methods for a Decentralized Swarm on a Logistical Resupply Problem
  Joseph Giordano*, Arjun Pherwani*, Annie S. Wu, and H. David Mathias
  Proceedings of the 20th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2021)
  London, May 2021
• Variable Response Duration Promotes Self-organization in Decentralized Swarms
  Kaelan Engholdt*, H. David Mathias, and Annie S. Wu
  Proceedings of the 9th International Conference on Bio-inspired Optimisation Methods and their Applications (BIOMA 2020)
  Brussels, November 2020
• Heterogeneous Response Intensity Ranges and Response Probability Improve Goal Achievement in Multi-agent Systems
  H. David Mathias, Annie S. Wu, and Laik Ruetten*
  Proceedings of the Twelfth International Conference on Swarm Intelligence (ANTS 2020)
  Barcelona, October 2020
• Dynamic Response Thresholds: Heterogeneous Ranges Allow Specialization while Mitigating Convergence to Sink States
  Annie S. Wu and H. David Mathias
  Proceedings of the Twelfth International Conference on Swarm Intelligence (ANTS 2020)
  Barcelona, October 2020
• A Parallel Two-stage Genetic Algorithm for Route Planning

  H. David Mathias, Samantha S. Foley
  GECCO '20 Proceedings of the Genetic and Evolutionary Computation Conference Companion, Cancun, Mexico, July 2020.
• Improving Multi-Agent System Coordination via Intensity Variation
  H. David Mathias, Annie S. Wu, Laik Ruetten* and Eric Coursin*
  Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference
  North Miami, FL, May 2020.
  
• Effects of Response Threshold Distribution on Dynamic Division of Labor in Decentralized Swarms
  Annie S. Wu, H. David Mathias, Joseph Giordano* and Anthony Hevia*
  Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference
  North Miami, FL, May 2020.
  
• Improving a Genetic Algorithm for Route Planning Using Parallelism with Speculative Execution

  H. David Mathias, Samantha S. Foley
  PEARC '19 Proceedings of the Practice and Experience in Advanced Research Computing Conference, Chicago, July 2019.
• Evolving cooperation for the iterated prisoner's dilemma

  Jessica Finocchiaro, H. David Mathias
  GECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companion, Prague, July 2019.
• A Co-evolutionary Genetic Algorithm to Avoid Airline Passenger Denied Boarding
  Kaelan Engholdt*, Isaac Lock*, Jacob McAllister*, and H. David Mathias
  Proceedings of the Midwest Instruction and Computing Symposium, Fargo, ND, April 2019.
• A Multi-objective Genetic Algorithm for Path Planning with Micro Aerial Vehicle Test Bed
  H. David Mathias and Vincent R. Ragusa*
  In Intelligent Systems and Applications
  Y. Bi, S. Kapoor, and R. Bhatia (Editors).
  Studies in Computational Intelligence, 751, 59-82, Springer, January 2018.
• Enhanced Genetic Path Planning for Autonomous Flight

  Vincent R. Ragusa, H. David Mathias, Vera A. Kazakova, Annie S. Wu
  GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference, Berlin, July 2017.
• Social Trends in the Iterated Prisoner's Dilemma

  Jessica Finocchiaro, H. David Mathias
  GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, July 2017.
• Micro Aerial Vehicle Path Planning and Flight with a Multi-objective Genetic Algorithm
  H. David Mathias and Vincent R. Ragusa*
  Proceedings of the 2nd Conference on Intelligent Systems, London, September 2016.
• An Empirical Study of Crossover and Mass Extinction in a Genetic Algorithm for Pathfinding in a Continuous Environment
  H. David Mathias and Vincent R. Ragusa*
  Proceedings of the IEEE Congress on Evolutionary Computation (CEC) , Vancouver, July 2016.
• An Autonomous Drone Platform for Student Research Projects
  H. David Mathias
  Journal of Computing Sciences in Colleges 31 (5), May 2016.
• Noise-tolerant Distribution-free Learning of General Geometric Concepts

  Nader H. Bshouty, Sally A. Goldman, H. David Mathias, Subhash Suri, Hisao Tamaki
  Journal of the ACM (JACM), 1998.
• A Model of Interactive Teaching
  H. David Mathias
  Journal of Computer and Systems Sciences 54, 487-501, 1997.
• Teaching a Smarter Learner
  Sally A. Goldman and H. David Mathias
  Journal of Computer and Systems Sciences 52, 255-267, 1996.