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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
  • ACM DL Author-ize serviceA 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.
  • ACM DL Author-ize serviceImproving 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.
  • ACM DL Author-ize serviceEvolving 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.
  • ACM DL Author-ize serviceEnhanced 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.
  • ACM DL Author-ize serviceSocial 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.
  • ACM DL Author-ize serviceNoise-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.
Copyright © H. David Mathias