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
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
H. David Mathias, Samantha S. Foley PEARC '19 Proceedings of the Practice and Experience in Advanced Research Computing Conference, Chicago, July 2019.
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.
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.