Daniel R. Tauritz

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 43

Top Topics

Monte Carlo Search

Evolutionary Algorithm

Examination Timetabling

Top Venues

GECCO (Companion)

GECCO Companion

Publications

James S. L. Browning Jr., Daniel R. Tauritz, John Beckmann
Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal. CoRR (2024)
James S. L. Browning Jr., Daniel R. Tauritz, John Beckmann
Evolutionary algorithms simulating molecular evolution: a new field proposal. Briefings Bioinform. 25 (5) (2024)
Daniel R. Tauritz, John R. Woodward
Generative Hyper-heuristics. GECCO Companion (2024)
Deacon Seals, Robert Wilkes, Daniel R. Tauritz
Maelstrom: An Accelerator-compatible GP Framework. GECCO Companion (2023)
Daniel R. Tauritz, John R. Woodward
Generative Hyper-heuristics. GECCO Companion (2023)
Braden N. Tisdale, Daniel R. Tauritz
Breaking the Cycle: Exploring the Advantages of Novel Evolutionary Cycles. SSCI (2023)
Daniel R. Tauritz, John R. Woodward
Generative hyper-heuristics. GECCO Companion (2022)
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)
Sean Harris, Daniel R. Tauritz
Competitive coevolution for defense and security: Elo-based similar-strength opponent sampling. GECCO Companion (2021)
Sean N. Harris, Daniel R. Tauritz
Elo-based similar-strength opponent sampling for multiobjective competitive coevolution. GECCO Companion (2021)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO Companion (2021)
Michael H. Prince, Andrew J. McGehee, Daniel R. Tauritz
EDM-DRL: Toward Stable Reinforcement Learning Through Ensembled Directed Mutation. EvoApplications (2021)
Braden N. Tisdale, Deacon Seals, Aaron Scott Pope, Daniel R. Tauritz
Directing evolution: the automated design of evolutionary pathways using directed graphs. GECCO (2021)
Braden N. Tisdale, Aaron Scott Pope, Daniel R. Tauritz
Dynamic primitive granularity control: an exploration of unique design considerations. GECCO Companion (2020)
Nathaniel R. Kamrath, Aaron Scott Pope, Daniel R. Tauritz
The automated design of local optimizers for memetic algorithms employing supportive coevolution. GECCO Companion (2020)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO Companion (2020)
Ian Bradley Morgan, Daniel R. Tauritz
ExaEvo: topological optimization and scalability of evolutionary algorithms. GECCO Companion (2020)
Aaron Scott Pope, Daniel R. Tauritz
Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control. GECCO (2020)
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)
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)
Samuel N. Richter, Michael G. Schoen, Daniel R. Tauritz
Comparing terminal sets for evolving CMA-ES mean-update selection. GECCO (Companion) (2019)
Samuel N. Richter, Michael G. Schoen, Daniel R. Tauritz
Evolving mean-update selection methods for CMA-ES. GECCO (Companion) (2019)
Aaron S. Pope, Daniel R. Tauritz, Alexander D. Kent
Evolving Bipartite Authentication Graph Partitions. IEEE Trans. Dependable Secur. Comput. 16 (1) (2019)
Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings
Automated design of random dynamic graph models. GECCO (Companion) (2019)
Aaron Scott Pope, Daniel R. Tauritz, Chris Rawlings
Automated design of random dynamic graph models for enterprise computer network applications. GECCO (Companion) (2019)
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)
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)
Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman 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 (2019)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO (Companion) (2019)
Kevin Schoonover, Eric Michalak, Sean 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)
Sean 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)
Aaron Scott Pope, Robert Morning, Daniel R. Tauritz, Alexander D. Kent
Automated design of network security metrics. GECCO (Companion) (2018)
Samuel N. Richter, Daniel R. Tauritz
The automated design of probabilistic selection methods for evolutionary algorithms. GECCO (Companion) (2018)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO (Companion) (2018)
Adam Harter, Daniel R. Tauritz, William M. Siever
Asynchronous parallel cartesian genetic programming. GECCO (Companion) (2017)
Daniel R. Tauritz, John R. Woodward
Hyper-heuristics tutorial. GECCO (Companion) (2017)
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)
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)
Aaron S. Pope, Daniel R. Tauritz, Alexander D. Kent
Evolving random graph generators: A case for increased algorithmic primitive granularity. SSCI (2016)
Manuel López-Ibáñez, Daniel R. Tauritz, John R. Woodward
ECADA 2016 Chairs' Welcome. GECCO (Companion) (2016)
Aaron S. Pope, Daniel R. Tauritz, Alexander D. Kent
Evolving Multi-level Graph Partitioning Algorithms. SSCI (2016)
Daniel R. Tauritz, John R. Woodward
Hyper-Heuristics. GECCO (Companion) (2016)
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)
John R. Woodward, Daniel R. Tauritz
Hyper-Heuristics. GECCO (Companion) (2015)
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)
Matthew A. Martin, Daniel R. Tauritz
Hyper-Heuristics: A Study On Increasing Primitive-Space. GECCO (Companion) (2015)
Sean Harris, Travis Bueter, Daniel R. Tauritz
A Comparison of Genetic Programming Variants for Hyper-Heuristics. GECCO (Companion) (2015)
George Rush, Daniel R. Tauritz, Alexander D. Kent
Coevolutionary Agent-based Network Defense Lightweight Event System (CANDLES). GECCO (Companion) (2015)
George Rush, Daniel R. Tauritz, Alexander D. Kent
DCAFE: A Distributed Cyber Security Automation Framework for Experiments. COMPSAC Workshops (2014)
Jasenko Hosic, Daniel R. Tauritz, Samuel A. Mulder
Evolving Decision Trees for the Categorization of Software. COMPSAC Workshops (2014)
Matthew A. Martin, Daniel R. Tauritz
Multi-sample evolution of robust black-box search algorithms. GECCO (Companion) (2014)
Matthew A. Martin, Daniel R. Tauritz
A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic. GECCO (Companion) (2014)
Jeffery Shelburg, Marouane Kessentini, Daniel R. Tauritz
Regression Testing for Model Transformations: A Multi-objective Approach. SSBSE (2013)
Matthew A. Martin, Daniel R. Tauritz
Evolving black-box search algorithms employing genetic programming. GECCO (Companion) (2013)
Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Daniel R. Tauritz
Preference-based multi-objective software modelling. CMSBSE@ICSE (2013)
Nathaniel R. Kamrath, Brian W. Goldman, Daniel R. Tauritz
Using supportive coevolution to evolve self-configuring crossover. GECCO (Companion) (2013)
Brian W. Goldman, Daniel R. Tauritz
Linkage tree genetic algorithms: variants and analysis. GECCO (2012)
Brian W. Goldman, Daniel R. Tauritz
Supportive coevolution. GECCO (Companion) (2012)
Josh L. Wilkerson, Daniel R. Tauritz, James M. Bridges
Multi-objective coevolutionary automated software correction. GECCO (2012)
Josh L. Wilkerson, Daniel R. Tauritz
A guide for fitness function design. GECCO (Companion) (2011)
Brian W. Goldman, Daniel R. Tauritz
Self-configuring crossover. GECCO (Companion) (2011)
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)
David Andrew Cape, Daniel R. Tauritz
Probabilistically interpolated rational hypercube landscape evolutionary algorithm. GECCO (Companion) (2011)
Lisa M. Guntly, Daniel R. Tauritz
Learning individual mating preferences. GECCO (2011)
Brian W. Goldman, Daniel R. Tauritz
Meta-evolved empirical evidence of the effectiveness of dynamic parameters. GECCO (Companion) (2011)
Josh L. Wilkerson, Daniel R. Tauritz
Scalability of the coevolutionary automated software correction system. GECCO (Companion) (2011)
Josh L. Wilkerson, Daniel R. Tauritz
Coevolutionary automated software correction. GECCO (2010)
Jason E. Cook, Daniel R. Tauritz
An exploration into dynamic population sizing. GECCO (2010)
Travis C. Service, Daniel R. Tauritz
Free lunches in pareto coevolution. GECCO (2009)
André Nwamba, Daniel R. Tauritz
Futility-based offspring sizing. GECCO (2009)
Travis C. Service, Daniel R. Tauritz
A no-free-lunch framework for coevolution. GECCO (2008)
Ekaterina A. Holdener, Daniel R. Tauritz
Learning offspring optimizing mate selection. GECCO (2008)
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) (2008)
Travis C. Service, Daniel R. Tauritz
Co-optimization algorithms. GECCO (2008)
Travis C. Service, Daniel R. Tauritz, William M. Siever
Infrastructure Hardening: A Competitive Coevolutionary Methodology Inspired by Neo-Darwinian Arms Races. COMPSAC (1) (2007)
Ekaterina Smorodkina, Daniel R. Tauritz
Toward automating EA configuration: the parent selection stage. IEEE Congress on Evolutionary Computation (2007)
William M. Siever, Ann Miller, Daniel R. Tauritz
Blueprint for Iteratively Hardening Power Grids Employing Unified Power Flow Controllers. SoSE (2007)
Ekaterina Smorodkina, Mayur Thakur, Daniel R. Tauritz
Algorithms for the Balanced Edge Partitioning Problem. WEA (2007)
Ekaterina Smorodkina, Daniel R. Tauritz
Greedy Population Sizing for Evolutionary Algorithms. IEEE Congress on Evolutionary Computation (2007)
Matt D. Johnson, Daniel R. Tauritz, Ralph W. Wilkerson
SNDL-MOEA: stored non-domination level MOEA. GECCO (2007)
Daniel R. Tauritz, Joost N. Kok, Ida G. Sprinkhuizen-Kuyper
Adaptive Information Filtering using Evolutionary Computation. Inf. Sci. 122 (2-4) (2000)
Daniel R. Tauritz, Ida G. Sprinkhuizen-Kuyper
Adaptive Information Filtering Algorithms. IDA (1999)