| 2026 | GECCO | Hybridized Evolution Accelerating Thermostability (HEAT): A Novel MOEA Approach to EASME Protein Engineering. | James Satterthwaite Larkin Browning, Daniel R. Tauritz, John F. Beckmann |
| 2026 | GECCO | Automatically Designing Novel Evolutionary Architectures. | Braden N. Tisdale, Daniel R. Tauritz, Aaron Scott Pope |
| 2025 | FOGA | Analyzing Competitive Coevolution across Families of N-Player Games through Tree Search. | Sean N. Harris, Daniel R. Tauritz, Samuel Mulder |
| 2024 | GECCO | Generative Hyper-heuristics. | Daniel R. Tauritz, John R. Woodward |
| 2023 | GECCO | Maelstrom: An Accelerator-compatible GP Framework. | Deacon Seals, Robert Wilkes, Daniel R. Tauritz |
| 2023 | GECCO | Generative Hyper-heuristics. | Daniel R. Tauritz, John R. Woodward |
| 2022 | GECCO | Generative hyper-heuristics. | Daniel R. Tauritz, John R. Woodward |
| 2021 | GECCO | Elo-based similar-strength opponent sampling for multiobjective competitive coevolution. | Sean N. Harris, Daniel R. Tauritz |
| 2021 | GECCO | Competitive coevolution for defense and security: Elo-based similar-strength opponent sampling. | Sean N. Harris, Daniel R. Tauritz |
| 2021 | GECCO | Hyper-heuristics tutorial. | Daniel R. Tauritz, John R. Woodward |
| 2021 | GECCO | Directing evolution: the automated design of evolutionary pathways using directed graphs. | Braden N. Tisdale, Deacon Seals, Aaron Scott Pope, Daniel R. Tauritz |
| 2020 | GECCO | The automated design of local optimizers for memetic algorithms employing supportive coevolution. | Nathaniel R. Kamrath, Aaron Scott Pope, Daniel R. Tauritz |
| 2020 | GECCO | ExaEvo: topological optimization and scalability of evolutionary algorithms. | Ian Bradley Morgan, Daniel R. Tauritz |
| 2020 | GECCO | Adversarial threats to large satellite networks (ATLAS-N): a coevolutionary approach based on flipit. | Jay Patel, Dhathri H. Somavarapu, Deacon Seals, Daniel R. Tauritz, Davide Guzzetti |
| 2020 | GECCO | Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control. | Aaron Scott Pope, Daniel R. Tauritz |
| 2020 | GECCO | Hyper-heuristics tutorial. | Daniel R. Tauritz, John R. Woodward |
| 2020 | GECCO | Dynamic primitive granularity control: an exploration of unique design considerations. | Braden N. Tisdale, Aaron Scott Pope, Daniel R. Tauritz |
| 2019 | GECCO | Empirical evidence of the effectiveness of primitive granularity control for hyper-heuristics. | Adam Harter, Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings |
| 2019 | GECCO | Nested monte carlo search expression discovery for the automated design of fuzzy ART category choice functions. | Marketa Illetskova, Islam El-Nabarawy, Leonardo Enzo Brito da Silva, Daniel R. Tauritz, Donald C. Wunsch II |
| 2019 | GECCO | Automated design of random dynamic graph models for enterprise computer network applications. | Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings |
| 2019 | GECCO | Automated design of random dynamic graph models. | Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings |
| 2019 | GECCO | Automated design of tailored link prediction heuristics for applications in enterprise network security. | Aaron Scott Pope, Daniel R. Tauritz, Melissa J. Turcotte |
| 2019 | GECCO | Comparing terminal sets for evolving CMA-ES mean-update selection. | Samuel N. Richter, Michael G. Schoen, Daniel R. Tauritz |
| 2019 | GECCO | Evolving mean-update selection methods for CMA-ES. | Samuel N. Richter, Michael G. Schoen, Daniel R. Tauritz |
| 2019 | GECCO | Hyper-heuristics tutorial. | Daniel R. Tauritz, John R. Woodward |
| 2018 | GECCO | Evolution of network enumeration strategies in emulated computer networks. | Sean N. Harris, Eric Michalak, Kevin Schoonover, Adam Gausmann, Hannah Reinbolt, Joshua Herman, Daniel R. Tauritz, Chris Rawlings, Aaron Scott Pope |
| 2018 | GECCO | Automated design of network security metrics. | Aaron Scott Pope, Robert Morning, Daniel R. Tauritz, Alexander D. Kent |
| 2018 | GECCO | The automated design of probabilistic selection methods for evolutionary algorithms. | Samuel N. Richter, Daniel R. Tauritz |
| 2018 | GECCO | Hyper-heuristics tutorial. | Daniel R. Tauritz, John R. Woodward |
| 2017 | GECCO | Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration. | Islam El-Nabarawy, Daniel R. Tauritz, Donald C. Wunsch |
| 2017 | GECCO | Asynchronous parallel cartesian genetic programming. | Adam Harter, Daniel R. Tauritz, William M. Siever |
| 2017 | GECCO | Hyper-heuristics tutorial. | Daniel R. Tauritz, John R. Woodward |
| 2016 | GECCO | Why Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A CDCL SAT Solver Case Study. | Alex R. Bertels, Daniel R. Tauritz |
| 2016 | GECCO | ECADA 2016 Chairs' Welcome. | Manuel Lpez-Ibez, Daniel R. Tauritz, John R. Woodward |
| 2016 | GECCO | Hyper-Heuristics. | Daniel R. Tauritz, John R. Woodward |
| 2015 | GECCO | A Comparison of Genetic Programming Variants for Hyper-Heuristics. | Sean N. Harris, Travis Bueter, Daniel R. Tauritz |
| 2015 | GECCO | Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure. | Matthew A. Martin, Alex R. Bertels, Daniel R. Tauritz |
| 2015 | GECCO | Hyper-Heuristics: A Study On Increasing Primitive-Space. | Matthew A. Martin, Daniel R. Tauritz |
| 2015 | GECCO | Coevolutionary Agent-based Network Defense Lightweight Event System (CANDLES). | George Rush, Daniel R. Tauritz, Alexander D. Kent |
| 2015 | GECCO | Hyper-Heuristics. | John R. Woodward, Daniel R. Tauritz |
| 2014 | COMPSAC | Evolving Decision Trees for the Categorization of Software. | Jasenko Hosic, Daniel R. Tauritz, Samuel A. Mulder |
| 2014 | COMPSAC | DCAFE: A Distributed Cyber Security Automation Framework for Experiments. | George Rush, Daniel R. Tauritz, Alexander D. Kent |
| 2014 | GECCO | Multi-sample evolution of robust black-box search algorithms. | Matthew A. Martin, Daniel R. Tauritz |
| 2014 | GECCO | A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic. | Matthew A. Martin, Daniel R. Tauritz |
| 2013 | GECCO | Using supportive coevolution to evolve self-configuring crossover. | Nathaniel R. Kamrath, Brian W. Goldman, Daniel R. Tauritz |
| 2013 | GECCO | Evolving black-box search algorithms employing genetic programming. | Matthew A. Martin, Daniel R. Tauritz |
| 2013 | ICSE | Preference-based multi-objective software modelling. | Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Daniel R. Tauritz |
| 2013 | SSBSE | Regression Testing for Model Transformations: A Multi-objective Approach. | Jeffery Shelburg, Marouane Kessentini, Daniel R. Tauritz |
| 2012 | GECCO | Linkage tree genetic algorithms: variants and analysis. | Brian W. Goldman, Daniel R. Tauritz |
| 2012 | GECCO | Supportive coevolution. | Brian W. Goldman, Daniel R. Tauritz |
| 2012 | GECCO | Multi-objective coevolutionary automated software correction. | Josh L. Wilkerson, Daniel R. Tauritz, James M. Bridges |
| 2011 | COMPSAC | Adaptive Rule-Based Malware Detection Employing Learning Classifier Systems: A Proof of Concept. | Jonathan J. Blount, Daniel R. Tauritz, Samuel A. Mulder |
| 2011 | GECCO | Probabilistically interpolated rational hypercube landscape evolutionary algorithm. | David Andrew Cape, Daniel R. Tauritz |
| 2011 | GECCO | Meta-evolved empirical evidence of the effectiveness of dynamic parameters. | Brian W. Goldman, Daniel R. Tauritz |
| 2011 | GECCO | Self-configuring crossover. | Brian W. Goldman, Daniel R. Tauritz |
| 2011 | GECCO | Learning individual mating preferences. | Lisa M. Guntly, Daniel R. Tauritz |
| 2011 | GECCO | A guide for fitness function design. | Josh L. Wilkerson, Daniel R. Tauritz |
| 2011 | GECCO | Scalability of the coevolutionary automated software correction system. | Josh L. Wilkerson, Daniel R. Tauritz |
| 2010 | GECCO | An exploration into dynamic population sizing. | Jason E. Cook, Daniel R. Tauritz |
| 2010 | GECCO | Coevolutionary automated software correction. | Josh L. Wilkerson, Daniel R. Tauritz |
| 2009 | GECCO | Futility-based offspring sizing. | Andr Nwamba, Daniel R. Tauritz |
| 2009 | GECCO | Free lunches in pareto coevolution. | Travis C. Service, Daniel R. Tauritz |
| 2008 | GECCO | Learning offspring optimizing mate selection. | Ekaterina A. Holdener, Daniel R. Tauritz |
| 2008 | GECCO | A no-free-lunch framework for coevolution. | Travis C. Service, Daniel R. Tauritz |
| 2008 | GECCO | Co-optimization algorithms. | Travis C. Service, Daniel R. Tauritz |
| 2007 | CEC | Toward automating EA configuration: the parent selection stage. | Ekaterina Smorodkina, Daniel R. Tauritz |
| 2007 | CEC | Greedy Population Sizing for Evolutionary Algorithms. | Ekaterina Smorodkina, Daniel R. Tauritz |
| 2007 | COMPSAC | Infrastructure Hardening: A Competitive Coevolutionary Methodology Inspired by Neo-Darwinian Arms Races. | Travis C. Service, Daniel R. Tauritz, William M. Siever |
| 2007 | GECCO | SNDL-MOEA: stored non-domination level MOEA. | Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilkerson |
| 1999 | IDA | Adaptive Information Filtering Algorithms. | Daniel R. Tauritz, Ida G. Sprinkhuizen-Kuyper |