Adaptive Information Filtering Algorithms. - Daniel R. Tauritz; Ida G. Sprinkhuizen-Kuyper (IDA, 1999)

Adaptive Information Filtering using Evolutionary Computation. - Daniel R. Tauritz; Joost N. Kok; Ida G. Sprinkhuizen-Kuyper (Inf. Sci., 2000)

Toward automating EA configuration: the parent selection stage. - Ekaterina Smorodkina; Daniel R. Tauritz (IEEE Congress on Evolutionary Computation, 2007)

Greedy Population Sizing for Evolutionary Algorithms. - Ekaterina Smorodkina; Daniel R. Tauritz (IEEE Congress on Evolutionary Computation, 2007)

Infrastructure Hardening: A Competitive Coevolutionary Methodology Inspired by Neo-Darwinian Arms Races. - Travis C. Service; Daniel R. Tauritz; William M. Siever (COMPSAC (1), 2007)

SNDL-MOEA: stored non-domination level MOEA. - Matt D. Johnson; Daniel R. Tauritz; Ralph W. Wilkerson (GECCO, 2007)

Blueprint for Iteratively Hardening Power Grids Employing Unified Power Flow Controllers. - William M. Siever; Ann Miller; Daniel R. Tauritz (SoSE, 2007)

Algorithms for the Balanced Edge Partitioning Problem. - Ekaterina Smorodkina; Mayur Thakur; Daniel R. Tauritz (WEA, 2007)

Learning offspring optimizing mate selection. - Ekaterina A. Holdener; Daniel R. Tauritz (GECCO, 2008)

A no-free-lunch framework for coevolution. - Travis C. Service; Daniel R. Tauritz (GECCO, 2008)

Co-optimization algorithms. - Travis C. Service; Daniel R. Tauritz (GECCO, 2008)

Symbolic Reduction for High-Speed Power System Simulation. - William M. Siever; Daniel R. Tauritz; Ann Miller; Mariesa L. Crow; Bruce M. McMillin; Stanley Atcitty (Simul., 2008)

Futility-based offspring sizing. - André Nwamba; Daniel R. Tauritz (GECCO, 2009)

Free lunches in pareto coevolution. - Travis C. Service; Daniel R. Tauritz (GECCO, 2009)

An exploration into dynamic population sizing. - Jason E. Cook; Daniel R. Tauritz (GECCO, 2010)

Coevolutionary automated software correction. - Josh L. Wilkerson; Daniel R. Tauritz (GECCO, 2010)

Adaptive Rule-Based Malware Detection Employing Learning Classifier Systems: A Proof of Concept. - Jonathan J. Blount; Daniel R. Tauritz; Samuel A. Mulder (COMPSAC Workshops, 2011)

Probabilistically interpolated rational hypercube landscape evolutionary algorithm. - David Andrew Cape; Daniel R. Tauritz (GECCO (Companion), 2011)

Meta-evolved empirical evidence of the effectiveness of dynamic parameters. - Brian W. Goldman; Daniel R. Tauritz (GECCO (Companion), 2011)

Self-configuring crossover. - Brian W. Goldman; Daniel R. Tauritz (GECCO (Companion), 2011)

Learning individual mating preferences. - Lisa M. Guntly; Daniel R. Tauritz (GECCO, 2011)

A guide for fitness function design. - Josh L. Wilkerson; Daniel R. Tauritz (GECCO (Companion), 2011)

Scalability of the coevolutionary automated software correction system. - Josh L. Wilkerson; Daniel R. Tauritz (GECCO (Companion), 2011)

Linkage tree genetic algorithms: variants and analysis. - Brian W. Goldman; Daniel R. Tauritz (GECCO, 2012)

Supportive coevolution. - Brian W. Goldman; Daniel R. Tauritz (GECCO (Companion), 2012)

Multi-objective coevolutionary automated software correction. - Josh L. Wilkerson; Daniel R. Tauritz; James M. Bridges (GECCO, 2012)

Using supportive coevolution to evolve self-configuring crossover. - Nathaniel R. Kamrath; Brian W. Goldman; Daniel R. Tauritz (GECCO (Companion), 2013)

Evolving black-box search algorithms employing genetic programming. - Matthew A. Martin; Daniel R. Tauritz (GECCO (Companion), 2013)

Preference-based multi-objective software modelling. - Mohamed Wiem Mkaouer; Marouane Kessentini; Slim Bechikh; Daniel R. Tauritz (CMSBSE@ICSE, 2013)

Regression Testing for Model Transformations: A Multi-objective Approach. - Jeffery Shelburg; Marouane Kessentini; Daniel R. Tauritz (SSBSE, 2013)

Evolving Decision Trees for the Categorization of Software. - Jasenko Hosic; Daniel R. Tauritz; Samuel A. Mulder (COMPSAC Workshops, 2014)

DCAFE: A Distributed Cyber Security Automation Framework for Experiments. - George Rush; Daniel R. Tauritz; Alexander D. Kent (COMPSAC Workshops, 2014)

Multi-sample evolution of robust black-box search algorithms. - Matthew A. Martin; Daniel R. Tauritz (GECCO (Companion), 2014)

A problem configuration study of the robustness of a black-box search algorithm hyper-heuristic. - Matthew A. Martin; Daniel R. Tauritz (GECCO (Companion), 2014)

A Comparison of Genetic Programming Variants for Hyper-Heuristics. - Sean N. Harris; Travis Bueter; Daniel R. Tauritz (GECCO (Companion), 2015)

Asynchronous Parallel Evolutionary Algorithms: Leveraging Heterogeneous Fitness Evaluation Times for Scalability and Elitist Parsimony Pressure. - Matthew A. Martin; Alex R. Bertels; Daniel R. Tauritz (GECCO (Companion), 2015)

Hyper-Heuristics: A Study On Increasing Primitive-Space. - Matthew A. Martin; Daniel R. Tauritz (GECCO (Companion), 2015)

Coevolutionary Agent-based Network Defense Lightweight Event System (CANDLES). - George Rush; Daniel R. Tauritz; Alexander D. Kent (GECCO (Companion), 2015)

Why Asynchronous Parallel Evolution is the Future of Hyper-heuristics: A CDCL SAT Solver Case Study. - Alex R. Bertels; Daniel R. Tauritz (GECCO (Companion), 2016)

ECADA 2016 Chairs' Welcome. - Manuel López-Ibáñez 001; Daniel R. Tauritz; John R. Woodward (GECCO (Companion), 2016)

Hyper-Heuristics. - Daniel R. Tauritz; John R. Woodward (GECCO (Companion), 2016)

Evolving random graph generators: A case for increased algorithmic primitive granularity. - Aaron S. Pope; Daniel R. Tauritz; Alexander D. Kent (SSCI, 2016)

Evolving Multi-level Graph Partitioning Algorithms. - Aaron S. Pope; Daniel R. Tauritz; Alexander D. Kent (SSCI, 2016)

Evolutionary computation for the automated design of category functions for fuzzy ART: an initial exploration. - Islam El-Nabarawy; Daniel R. Tauritz; Donald C. Wunsch (GECCO (Companion), 2017)

Asynchronous parallel cartesian genetic programming. - Adam Harter; Daniel R. Tauritz; William M. Siever (GECCO (Companion), 2017)

Improving performance of CDCL SAT solvers by automated design of variable selection heuristics. - 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 (SSCI, 2017)

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 (GECCO (Companion), 2018)

Automated design of network security metrics. - Aaron Scott Pope; Robert Morning; Daniel R. Tauritz; Alexander D. Kent (GECCO (Companion), 2018)

The automated design of probabilistic selection methods for evolutionary algorithms. - Samuel N. Richter; Daniel R. Tauritz (GECCO (Companion), 2018)

Galaxy: A Network Emulation Framework for Cybersecurity. - Kevin Schoonover; Eric Michalak; Sean N. Harris; Adam Gausmann; Hannah Reinbolt; Daniel R. Tauritz; Chris Rawlings; Aaron Scott Pope (CSET @ USENIX Security Symposium, 2018)

Empirical evidence of the effectiveness of primitive granularity control for hyper-heuristics. - Adam Harter; Aaron Scott Pope; Daniel R. Tauritz; Chris Rawlings (GECCO (Companion), 2019)

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 (GECCO (Companion), 2019)

Automated design of random dynamic graph models for enterprise computer network applications. - Aaron Scott Pope; Daniel R. Tauritz; Chris Rawlings (GECCO (Companion), 2019)

Automated design of random dynamic graph models. - Aaron Scott Pope; Daniel R. Tauritz; Chris Rawlings (GECCO (Companion), 2019)

Automated design of tailored link prediction heuristics for applications in enterprise network security. - Aaron Scott Pope; Daniel R. Tauritz; Melissa J. Turcotte (GECCO (Companion), 2019)

Comparing terminal sets for evolving CMA-ES mean-update selection. - Samuel N. Richter; Michael G. Schoen; Daniel R. Tauritz (GECCO (Companion), 2019)

Evolving mean-update selection methods for CMA-ES. - Samuel N. Richter; Michael G. Schoen; Daniel R. Tauritz (GECCO (Companion), 2019)

The ISTI Rapid Response on Exploring Cloud Computing 2018. - 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; et al. (CoRR, 2019)

Evolving Bipartite Authentication Graph Partitions. - Aaron S. Pope; Daniel R. Tauritz; Alexander D. Kent (IEEE Trans. Dependable Secur. Comput., 2019)

The automated design of local optimizers for memetic algorithms employing supportive coevolution. - Nathaniel R. Kamrath; Aaron Scott Pope; Daniel R. Tauritz (GECCO Companion, 2020)

ExaEvo: topological optimization and scalability of evolutionary algorithms. - Ian Bradley Morgan; Daniel R. Tauritz (GECCO Companion, 2020)

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 (GECCO Companion, 2020)

Automated design of multi-level network partitioning heuristics employing self-adaptive primitive granularity control. - Aaron Scott Pope; Daniel R. Tauritz (GECCO, 2020)

Dynamic primitive granularity control: an exploration of unique design considerations. - Braden N. Tisdale; Aaron Scott Pope; Daniel R. Tauritz (GECCO Companion, 2020)

A Multi-objective Evolutionary Algorithm Approach for Optimizing Part Quality Aware Assembly Job Shop Scheduling Problems. - Michael H. Prince; Kristian DeHaan; Daniel R. Tauritz (EvoApplications, 2021)

EDM-DRL: Toward Stable Reinforcement Learning Through Ensembled Directed Mutation. - Michael H. Prince; Andrew J. McGehee; Daniel R. Tauritz (EvoApplications, 2021)

Elo-based similar-strength opponent sampling for multiobjective competitive coevolution. - Sean N. Harris; Daniel R. Tauritz (GECCO Companion, 2021)

Competitive coevolution for defense and security: Elo-based similar-strength opponent sampling. - Sean N. Harris; Daniel R. Tauritz (GECCO Companion, 2021)

Hyper-heuristics tutorial. - Daniel R. Tauritz; John R. Woodward (GECCO Companion, 2021)

Directing evolution: the automated design of evolutionary pathways using directed graphs. - Braden N. Tisdale; Deacon Seals; Aaron Scott Pope; Daniel R. Tauritz (GECCO, 2021)

Maelstrom: An Accelerator-compatible GP Framework. - Deacon Seals; Robert Wilkes; Daniel R. Tauritz (GECCO Companion, 2023)

Generative Hyper-heuristics. - Daniel R. Tauritz; John R. Woodward (GECCO Companion, 2023)

Breaking the Cycle: Exploring the Advantages of Novel Evolutionary Cycles. - Braden N. Tisdale; Daniel R. Tauritz (SSCI, 2023)

A Tabletop Game to Study Business Wargaming in the P-LEO SATCOM Marketplace. - Rehman Qureshi; Robert Gleason; Akhil Rao; Samuel A. Mulder; Daniel R. Tauritz; Davide Guzzetti (CoG, 2024)

Evolutionary algorithms simulating molecular evolution: a new field proposal. - James S. L. Browning Jr.; Daniel R. Tauritz; John Beckmann (Briefings Bioinform., 2024)