95 Publications (Page 1 of 4)
2025
Analyzing Competitive Coevolution across Families of N-Player Games through Tree Search
2024
A Tabletop Game to Study Business Wargaming in the P-LEO SATCOM Marketplace
Qureshi, Rehman⋅Gleason, Robert⋅Rao, Akhil⋅Mulder, Samuel⋅Tauritz, Daniel R. and Guzzetti, Davide
(pp. 1-8)
 
Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal
Browning, James S. L.⋅Tauritz, Daniel R. and Beckmann, John
arXiv
 
Evolutionary algorithms simulating molecular evolution: a new field proposal. Briefings in Bioinformatics
. | Journal Article
 
Generative Hyper-heuristics
Tauritz, Daniel R. and Woodward, John R.
(pp. 1069–1095). Association for Computing Machinery
2023
Breaking the Cycle: Exploring the Advantages of Novel Evolutionary Cycles. IEEE Symposium Series on Computational Intelligence (SSCI)
 
Coevolving Defender Strategies Within Adversarial Ground Station Transit Time Games via Competitive Coevolution
Indaco, M.⋅Harris, S.N.⋅Seals, D.⋅Mulder, S. and Tauritz, D.R.
Journal of the Astronautical Sciences, vol. 70. | Journal Article
 
Generative Hyper-heuristics
 
Maelstrom: An Accelerator-compatible GP Framework
 
Modeling emergence of Wolbachia toxin-antidote protein functions with an evolutionary algorithm.
Beckmann, John⋅Gillespie, Joe and Tauritz, Daniel
Frontiers in microbiology, vol. 14, pp. 1116766, 2023. | Journal Article
 
Modelling Emergence of Wolbachia Toxin-Antidote Protein Functions with an Evolutionary Algorithm
Beckmann, J.⋅Gillespie, J. and Tauritz, D.
2022
Coevolving Defender Strategies within Adversarial Ground Station Transit Time Games via Competitive Coevolution. AAS/AIAA Astrodynamics Specialist Conference
 
Generative hyper-heuristics
Tauritz, D.R. and Woodward, J.
(pp. 1111-1140)
 
Modeling and Gamification Framework of Business Competition Between P-LEO Constellations. AAS/AIAA Astrodynamics Specialist Conference
2021
A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems
Prince, M.H.⋅DeHaan, K. and Tauritz, D.R.
(pp. 97-112)
 
Competitive coevolution for defense and security
Harris, Sean N. and Tauritz, Daniel R.
ACM
 
Directing evolution: The automated design of evolutionary pathways using directed graphs
Tisdale, B.⋅Seals, D.⋅Pope, A.S. and Tauritz, D.R.
(pp. 732-740)
 
EDM-DRL: Toward Stable Reinforcement Learning Through Ensembled Directed Mutation
Prince, M.H.⋅McGehee, A.J. and Tauritz, D.R.
(pp. 275-290)
 
Elo-based similar-strength opponent sampling for multiobjective competitive coevolution
Harris, S.N. and Tauritz, D.R.
(pp. 237-238)
 
Hyper-heuristics tutorial
Tauritz, D.R. and Woodward, J.
(pp. 528-557)
2020
Adversarial threats to large satellite networks (ATLAS-N): A coevolutionary approach based on FlipIt
Patel, J.⋅Somavarapu, D.H.⋅Seals, D.⋅Tauritz, D.R. and Guzzetti, D.
(pp. 1503–1511)
 
Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control
Pope, A.S. and Tauritz, D.R.
(pp. 1168-1176)
 
Dynamic primitive granularity control: An exploration of unique design considerations
Tisdale, B.N.⋅Pope, A.S. and Tauritz, D.R.
(pp. 1906-1914)
 
ExaEvo: Topological optimization and scalability of evolutionary algorithms
Morgan, I.B. and Tauritz, D.R.
(pp. 1747-1755)
 
Hyper-heuristics tutorial
Tauritz, D.R. and Woodward, J.
(pp. 652-681)