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Journal Articles
- 2024
[j4]James S. L. Browning Jr.
, Daniel R. Tauritz, John Beckmann:
Evolutionary algorithms simulating molecular evolution: a new field proposal. Briefings Bioinform. 25(5) (2024)- 2019
- [j3]Aaron S. Pope, Daniel R. Tauritz, Alexander D. Kent:
Evolving Bipartite Authentication Graph Partitions. IEEE Trans. Dependable Secur. Comput. 16(1): 58-71 (2019) - 2008
- [j2]William M. Siever, Daniel R. Tauritz, Ann Miller, Mariesa L. Crow, Bruce M. McMillin, Stanley Atcitty:
Symbolic Reduction for High-Speed Power System Simulation. Simul. 84(6): 297-309 (2008) - 2000
- [j1]Daniel R. Tauritz, Joost N. Kok, Ida G. Sprinkhuizen-Kuyper:
Adaptive Information Filtering using Evolutionary Computation. Inf. Sci. 122(2-4): 121-140 (2000)
Conference and Workshop Papers
- 2024
- [c77]Rehman Qureshi, Robert Gleason, Akhil Rao, Samuel A. Mulder, Daniel R. Tauritz, Davide Guzzetti:
A Tabletop Game to Study Business Wargaming in the P-LEO SATCOM Marketplace. CoG 2024: 1-8 - [c76]Daniel R. Tauritz, John R. Woodward:
Generative Hyper-heuristics. GECCO Companion 2024: 1069-1095 - 2023
- [c75]Daniel R. Tauritz, John R. Woodward:
Generative Hyper-heuristics. GECCO Companion 2023: 1069-1098 - [c74]Deacon Seals, Robert Wilkes, Daniel R. Tauritz:
Maelstrom: An Accelerator-compatible GP Framework. GECCO Companion 2023: 1882-1890 - [c73]Braden N. Tisdale, Daniel R. Tauritz:
Breaking the Cycle: Exploring the Advantages of Novel Evolutionary Cycles. SSCI 2023: 355-360 - 2022
- [c72]Daniel R. Tauritz, John R. Woodward:
Generative hyper-heuristics. GECCO Companion 2022: 1111-1140 - 2021
- [c71]Michael H. Prince, Kristian DeHaan, Daniel R. Tauritz:
A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems. EvoApplications 2021: 97-112 - [c70]Michael H. Prince, Andrew J. McGehee, Daniel R. Tauritz:
EDM-DRL: Toward Stable Reinforcement Learning Through Ensembled Directed Mutation. EvoApplications 2021: 275-290 - [c69]Sean N. Harris, Daniel R. Tauritz:
Elo-based similar-strength opponent sampling for multiobjective competitive coevolution. GECCO Companion 2021: 237-238 - [c68]Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. GECCO Companion 2021: 528-557 - [c67]Braden N. Tisdale, Deacon Seals, Aaron Scott Pope, Daniel R. Tauritz:
Directing evolution: the automated design of evolutionary pathways using directed graphs. GECCO 2021: 732-740 - [c66]Sean N. Harris, Daniel R. Tauritz:
Competitive coevolution for defense and security: Elo-based similar-strength opponent sampling. GECCO Companion 2021: 1898-1906 - 2020
- [c65]Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. GECCO Companion 2020: 652-681 - [c64]Aaron Scott Pope, Daniel R. Tauritz:
Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control. GECCO 2020: 1168-1176 - [c63]Jay Patel, Dhathri H. Somavarapu, Deacon Seals, Daniel R. Tauritz, Davide Guzzetti:
Adversarial threats to large satellite networks (ATLAS-N): a coevolutionary approach based on flipit. GECCO Companion 2020: 1503-1511 - [c62]Ian Bradley Morgan, Daniel R. Tauritz:
ExaEvo: topological optimization and scalability of evolutionary algorithms. GECCO Companion 2020: 1747-1755 - [c61]Nathaniel R. Kamrath, Aaron Scott Pope, Daniel R. Tauritz:
The automated design of local optimizers for memetic algorithms employing supportive coevolution. GECCO Companion 2020: 1889-1897 - [c60]Braden N. Tisdale, Aaron Scott Pope, Daniel R. Tauritz:
Dynamic primitive granularity control: an exploration of unique design considerations. GECCO Companion 2020: 1906-1914 - 2019
- [c59]Marketa Illetskova, Islam El-Nabarawy, Leonardo Enzo Brito da Silva, Daniel R. Tauritz, Donald C. Wunsch II:
Nested monte carlo search expression discovery for the automated design of fuzzy ART category choice functions. GECCO (Companion) 2019: 171-172 - [c58]Samuel N. Richter, Michael G. Schoen, Daniel R. Tauritz:
Comparing terminal sets for evolving CMA-ES mean-update selection. GECCO (Companion) 2019: 326-327 - [c57]Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings:
Automated design of random dynamic graph models for enterprise computer network applications. GECCO (Companion) 2019: 352-353 - [c56]Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. GECCO (Companion) 2019: 770-805 - [c55]Adam Harter, Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings:
Empirical evidence of the effectiveness of primitive granularity control for hyper-heuristics. GECCO (Companion) 2019: 1478-1486 - [c54]Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings:
Automated design of random dynamic graph models. GECCO (Companion) 2019: 1504-1512 - [c53]Samuel N. Richter, Michael G. Schoen, Daniel R. Tauritz:
Evolving mean-update selection methods for CMA-ES. GECCO (Companion) 2019: 1513-1517 - [c52]Aaron Scott Pope, Daniel R. Tauritz, Melissa J. Turcotte:
Automated design of tailored link prediction heuristics for applications in enterprise network security. GECCO (Companion) 2019: 1634-1642 - 2018
- [c51]Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. GECCO (Companion) 2018: 685-719 - [c50]Samuel N. Richter, Daniel R. Tauritz:
The automated design of probabilistic selection methods for evolutionary algorithms. GECCO (Companion) 2018: 1545-1552 - [c49]Sean N. Harris, Eric Michalak, Kevin Schoonover, Adam Gausmann, Hannah Reinbolt, Joshua Herman, Daniel R. Tauritz, Chris Rawlings, Aaron Scott Pope:
Evolution of network enumeration strategies in emulated computer networks. GECCO (Companion) 2018: 1640-1647 - [c48]Aaron Scott Pope, Robert Morning, Daniel R. Tauritz, Alexander D. Kent:
Automated design of network security metrics. GECCO (Companion) 2018: 1680-1687 - [c47]Kevin Schoonover, Eric Michalak, Sean N. Harris, Adam Gausmann, Hannah Reinbolt, Daniel R. Tauritz, Chris Rawlings, Aaron Scott Pope:
Galaxy: A Network Emulation Framework for Cybersecurity. CSET @ USENIX Security Symposium 2018 - 2017
- [c46]Daniel R. Tauritz, John R. Woodward:
Hyper-heuristics tutorial. GECCO (Companion) 2017: 510-544 - [c45]Islam El-Nabarawy, Daniel R. Tauritz, Donald C. Wunsch:
Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration. GECCO (Companion) 2017: 1133-1140 - [c44]Adam Harter, Daniel R. Tauritz, William M. Siever:
Asynchronous parallel cartesian genetic programming. GECCO (Companion) 2017: 1820-1824 - [c43]Marketa Illetskova, Alex R. Bertels, Joshua M. Tuggle, Adam Harter, Samuel Richter, Daniel R. Tauritz, Samuel A. Mulder, Denis Bueno, Michelle Leger, William M. Siever:
Improving performance of CDCL SAT solvers by automated design of variable selection heuristics. SSCI 2017: 1-8 - 2016
- [c42]Daniel R. Tauritz, John R. Woodward:
Hyper-Heuristics. GECCO (Companion) 2016: 273-304 - [c41]Manuel López-Ibáñez, Daniel R. Tauritz, John R. Woodward:
ECADA 2016 Chairs' Welcome. GECCO (Companion) 2016: 1339 - [c40]Alex R. Bertels, Daniel R. Tauritz:
Why Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A CDCL SAT Solver Case Study. GECCO (Companion) 2016: 1359-1365 - [c39]Aaron S. Pope, Daniel R. Tauritz, Alexander D. Kent:
Evolving random graph generators: A case for increased algorithmic primitive granularity. SSCI 2016: 1-8 - [c38]Aaron S. Pope, Daniel R. Tauritz, Alexander D. Kent:
Evolving Multi-level Graph Partitioning Algorithms. SSCI 2016: 1-8 - 2015
- [c37]John R. Woodward, Daniel R. Tauritz:
Hyper-Heuristics. GECCO (Companion) 2015: 199-230 - [c36]George Rush, Daniel R. Tauritz, Alexander D. Kent:
Coevolutionary Agent-based Network Defense Lightweight Event System (CANDLES). GECCO (Companion) 2015: 859-866 - [c35]Sean N. Harris, Travis Bueter, Daniel R. Tauritz:
A Comparison of Genetic Programming Variants for Hyper-Heuristics. GECCO (Companion) 2015: 1043-1050 - [c34]Matthew A. Martin, Daniel R. Tauritz:
Hyper-Heuristics: A Study On Increasing Primitive-Space. GECCO (Companion) 2015: 1051-1058 - [c33]Matthew A. Martin, Alex R. Bertels, Daniel R. Tauritz:
Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure. GECCO (Companion) 2015: 1429-1430 - 2014
- [c32]George Rush, Daniel R. Tauritz, Alexander D. Kent:
DCAFE: A Distributed Cyber Security Automation Framework for Experiments. COMPSAC Workshops 2014: 134-139 - [c31]Jasenko Hosic, Daniel R. Tauritz, Samuel A. Mulder:
Evolving Decision Trees for the Categorization of Software. COMPSAC Workshops 2014: 337-342 - [c30]Matthew A. Martin, Daniel R. Tauritz:
Multi-sample evolution of robust black-box search algorithms. GECCO (Companion) 2014: 195-196 - [c29]Matthew A. Martin, Daniel R. Tauritz:
A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic. GECCO (Companion) 2014: 1389-1396 - 2013
- [c28]Nathaniel R. Kamrath, Brian W. Goldman, Daniel R. Tauritz:
Using supportive coevolution to evolve self-configuring crossover. GECCO (Companion) 2013: 1489-1496 - [c27]Matthew A. Martin, Daniel R. Tauritz:
Evolving black-box search algorithms employing genetic programming. GECCO (Companion) 2013: 1497-1504 - [c26]Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Daniel R. Tauritz:
Preference-based multi-objective software modelling. CMSBSE@ICSE 2013: 61-66 - [c25]Jeffery Shelburg, Marouane Kessentini, Daniel R. Tauritz:
Regression Testing for Model Transformations: A Multi-objective Approach. SSBSE 2013: 209-223 - 2012
- [c24]Brian W. Goldman, Daniel R. Tauritz:
Supportive coevolution. GECCO (Companion) 2012: 59-66 - [c23]Brian W. Goldman, Daniel R. Tauritz:
Linkage tree genetic algorithms: variants and analysis. GECCO 2012: 625-632 - [c22]Josh L. Wilkerson, Daniel R. Tauritz, James M. Bridges:
Multi-objective coevolutionary automated software correction. GECCO 2012: 1229-1236 - 2011
- [c21]Jonathan J. Blount, Daniel R. Tauritz, Samuel A. Mulder:
Adaptive Rule-Based Malware Detection Employing Learning Classifier Systems: A Proof of Concept. COMPSAC Workshops 2011: 110-115 - [c20]Josh L. Wilkerson, Daniel R. Tauritz:
A guide for fitness function design. GECCO (Companion) 2011: 123-124 - [c19]Brian W. Goldman, Daniel R. Tauritz:
Meta-evolved empirical evidence of the effectiveness of dynamic parameters. GECCO (Companion) 2011: 155-156 - [c18]Josh L. Wilkerson, Daniel R. Tauritz:
Scalability of the coevolutionary automated software correction system. GECCO (Companion) 2011: 243-244 - [c17]Brian W. Goldman, Daniel R. Tauritz:
Self-configuring crossover. GECCO (Companion) 2011: 575-582 - [c16]David Andrew Cape, Daniel R. Tauritz:
Probabilistically interpolated rational hypercube landscape evolutionary algorithm. GECCO (Companion) 2011: 807-808 - [c15]Lisa M. Guntly, Daniel R. Tauritz:
Learning individual mating preferences. GECCO 2011: 1069-1076 - 2010
- [c14]Jason E. Cook, Daniel R. Tauritz:
An exploration into dynamic population sizing. GECCO 2010: 807-814 - [c13]Josh L. Wilkerson, Daniel R. Tauritz:
Coevolutionary automated software correction. GECCO 2010: 1391-1392 - 2009
- [c12]Travis C. Service, Daniel R. Tauritz:
Free lunches in pareto coevolution. GECCO 2009: 1721-1728 - [c11]André Nwamba, Daniel R. Tauritz:
Futility-based offspring sizing. GECCO 2009: 1873-1874 - 2008
- [c10]Travis C. Service, Daniel R. Tauritz:
A no-free-lunch framework for coevolution. GECCO 2008: 371-378 - [c9]Travis C. Service, Daniel R. Tauritz:
Co-optimization algorithms. GECCO 2008: 387-388 - [c8]Ekaterina A. Holdener, Daniel R. Tauritz:
Learning offspring optimizing mate selection. GECCO 2008: 1109-1110 - 2007
- [c7]Ekaterina Smorodkina, Daniel R. Tauritz:
Toward automating EA configuration: the parent selection stage. IEEE Congress on Evolutionary Computation 2007: 63-70 - [c6]Ekaterina Smorodkina, Daniel R. Tauritz:
Greedy Population Sizing for Evolutionary Algorithms. IEEE Congress on Evolutionary Computation 2007: 2181-2187 - [c5]Travis C. Service, Daniel R. Tauritz, William M. Siever:
Infrastructure Hardening: A Competitive Coevolutionary Methodology Inspired by Neo-Darwinian Arms Races. COMPSAC (1) 2007: 101-104 - [c4]Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilkerson:
SNDL-MOEA: stored non-domination level MOEA. GECCO 2007: 837-844 - [c3]William M. Siever, Ann Miller, Daniel R. Tauritz:
Blueprint for Iteratively Hardening Power Grids Employing Unified Power Flow Controllers. SoSE 2007: 1-7 - [c2]Ekaterina Smorodkina, Mayur Thakur, Daniel R. Tauritz:
Algorithms for the Balanced Edge Partitioning Problem. WEA 2007: 311-323 - 1999
- [c1]Daniel R. Tauritz, Ida G. Sprinkhuizen-Kuyper:
Adaptive Information Filtering Algorithms. IDA 1999: 513-524
Informal and Other Publications
- 2024
- [i2]James S. L. Browning Jr., Daniel R. Tauritz, John Beckmann:
Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal. CoRR abs/2403.08797 (2024) - 2019
- [i1]Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael J. Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean N. Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman R. Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron S. Pope, Reid B. Porter, Chris Rawlings, Hannah Reinbolt, Reid D. Rivenburgh, Philip Romero, Kevin Schoonover, Alexei N. Skurikhin, Daniel R. Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring:
The ISTI Rapid Response on Exploring Cloud Computing 2018. CoRR abs/1901.01331 (2019)
Coauthor Index
Aaron S. Pope
aka: Aaron Scott Pope
aka: Aaron Scott Pope
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