Applying Diffusion to a Cooperative Coevolutionary Model. - R. Paul Wiegand (PPSN, 1998)

Analyzing cooperative coevolution with evolutionary game theory. - R. Paul Wiegand; William C. Liles; Kenneth A. De Jong (IEEE Congress on Evolutionary Computation, 2002)

Guaranteeing Coevolutionary Objective Measures. - Sean Luke; R. Paul Wiegand (FOGA, 2002)

Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory. - R. Paul Wiegand; William C. Liles; Kenneth A. De Jong (FOGA, 2002)

The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution. - R. Paul Wiegand; William C. Liles; Kenneth A. De Jong (PPSN, 2002)

Sequential versus parallel cooperative coevolutionary (1+1) EAs. - Thomas Jansen 001; R. Paul Wiegand (IEEE Congress on Evolutionary Computation, 2003)

Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA. - Thomas Jansen 001; R. Paul Wiegand (GECCO, 2003)

Improving Coevolutionary Search for Optimal Multiagent Behaviors. - Liviu Panait; R. Paul Wiegand; Sean Luke (IJCAI, 2003)

A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization. - Liviu Panait; R. Paul Wiegand; Sean Luke (GECCO (1), 2004)

Bridging the Gap Between Theory and Practice. - Thomas Jansen 001; R. Paul Wiegand (PPSN, 2004)

A Visual Demonstration of Convergence Properties of Cooperative Coevolution. - Liviu Panait; R. Paul Wiegand; Sean Luke (PPSN, 2004)

Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms. - R. Paul Wiegand; Jayshree Sarma (PPSN, 2004)

The Cooperative Coevolutionary (1+1) EA. - Thomas Jansen 001; R. Paul Wiegand (Evol. Comput., 2004)

Preface. - Mitchell A. Potter; R. Paul Wiegand (AAAI Fall Symposium: Coevolutionary and Coadaptive Systems, 2005)

Effects of experience bias when seeding with prior results. - Mitchell A. Potter; R. Paul Wiegand; H. Joseph Blumenthal; Donald Sofge (Congress on Evolutionary Computation, 2005)

Robustness in cooperative coevolution. - R. Paul Wiegand; Mitchell A. Potter (GECCO, 2006)

A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems. - R. Paul Wiegand; Mitchell A. Potter; Donald Sofge; William M. Spears (PPSN, 2006)

Biasing Coevolutionary Search for Optimal Multiagent Behaviors. - Liviu Panait; Sean Luke; R. Paul Wiegand (IEEE Trans. Evol. Comput., 2006)

Introductory tutorial on coevolution. - Edwin D. de Jong; Kenneth O. Stanley; R. Paul Wiegand (GECCO (Companion), 2007)

Actuation Constraints and Artificial Physics Control. - Chris Ellis; R. Paul Wiegand (PPSN, 2008)

Black-box search by elimination of fitness functions. - Gautham Anil; R. Paul Wiegand (FOGA, 2009)

On the performance effects of unbiased module encapsulation. - R. Paul Wiegand; Gautham Anil; Ivan I. Garibay; Ozlem O. Garibay; Annie S. Wu (GECCO, 2009)

An architecture supporting large scale MMOGs. - Chandana Ghosh; R. Paul Wiegand; Brian F. Goldiez; Troy Dere (SimuTools, 2010)

Coevolutionary Learning. - R. Paul Wiegand (Encyclopedia of Machine Learning, 2010)

Evolving a Non-playable Character team with Layered Learning. - Sean C. Mondesire; R. Paul Wiegand (MCDM, 2011)

Domain specific analysis and modeling of optimal elimination of fitness functions with optimal sampling. - Gautham Anil; R. Paul Wiegand (GECCO, 2011)

The Effects of Inter-Agent Variation on Developing Stable and Robust Teams. - Annie S. Wu; R. Paul Wiegand; Ramya Pradhan; Gautham Anil (AAAI Spring Symposium: AI, The Fundamental Social Aggregation Challenge, 2012)

Coevolutionary Principles. - Elena Popovici; Anthony Bucci; R. Paul Wiegand; Edwin D. de Jong (Handbook of Natural Computing, 2012)

Using response probability to build system redundancy in multiagent systems. - Annie S. Wu; R. Paul Wiegand; Ramya Pradhan (AAMAS, 2013)

Modeling Use of Space from Social Media Data Using a Biased Random Walker. - Steven D. Prager; R. Paul Wiegand (Trans. GIS, 2014)

A Demonstration of Stability-Plasticity Imbalance in Multi-agent, Decomposition-Based Learning. - Sean C. Mondesire; R. Paul Wiegand (ICMLA, 2015)

Dimension Extraction Analysis of Student Performance on Problems. - Anthony Bucci; R. Paul Wiegand; Amruth N. Kumar; Jennifer L. Albert; Alessio Gaspar (FLAIRS, 2016)

Using L-Systems to Generate Fault Trees for Benchmarking and Testing. - Jeff Hanes; R. Paul Wiegand (FLAIRS, 2016)

Building Redundancy in Multi-Agent Systems Using Probabilistic Selection. - Annie S. Wu; R. Paul Wiegand; Ramya Pradhan (FLAIRS, 2016)

Evolutionary Practice Problems Generation: Design Guidelines. - Alessio Gaspar; A. T. M. Golam Bari; Amruth N. Kumar; Anthony Bucci; R. Paul Wiegand; Jennifer L. Albert (ICTAI, 2016)

A Data-Driven Analysis of Informatively Hard Concepts in Introductory Programming. - R. Paul Wiegand; Anthony Bucci; Amruth N. Kumar; Jennifer L. Albert; Alessio Gaspar (SIGCSE, 2016)

Evolutionary Practice Problems Generation: More Design Guidelines. - Alessio Gaspar; A. T. M. Golam Bari; R. Paul Wiegand; Anthony Bucci; Amruth N. Kumar; Jennifer L. Albert (FLAIRS, 2017)

Does relaxing strict acceptance condition improve test based pareto coevolution? - A. T. M. Golam Bari; Alessio Gaspar; R. Paul Wiegand; Anthony Bucci (SSCI, 2017)

Coevolutionary Learning. - R. Paul Wiegand (Encyclopedia of Machine Learning and Data Mining, 2017)

Selection Methods to Relax Strict Acceptance Condition in Test-Based Coevolution. - A. T. M. Golam Bari; Alessio Gaspar; R. Paul Wiegand; Anthony Bucci (CEC, 2018)

Towards investigation of iterative strategy for data mining of short-term traffic flow with Recurrent Neural Networks. - Armando Fandango; R. Paul Wiegand (ICISDM, 2018)

Evaluating multi-criteria Connection mechanisms: A new algorithm for browsing digital archives. - Amy Larner Giroux; Connie Harper; R. Paul Wiegand (Digit. Scholarsh. Humanit., 2018)

EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle. - A. T. M. Golam Bari; Alessio Gaspar; R. Paul Wiegand; Jennifer L. Albert; Anthony Bucci; Amruth N. Kumar (Genet. Program. Evolvable Mach., 2019)

Analytical and Evolutionary Methods for Finding Cut Volumes in Fault Trees Constrained by Location. - Jeff Hanes; R. Paul Wiegand (IEEE Trans. Reliab., 2019)

Robust Path Matching and Anomalous Route Detection Using Posterior Weighted Graphs. - Lauren Doocy; Steven D. Prager; Joseph T. Kider Jr.; R. Paul Wiegand (ACM Trans. Spatial Algorithms Syst., 2019)

Impact of Augmenting GRU Networks with Iterative and Direct Strategies for Traffic Speed Forecasting. - Armando Fandango; R. Paul Wiegand; Liqiang Ni; Samiul Hasan (FLAIRS, 2020)

The Objective of Simple Novelty Search. - R. Paul Wiegand (FLAIRS, 2020)

Response probability enhances robustness in decentralized threshold-based robotic swarms. - Annie S. Wu; R. Paul Wiegand; Ramya Pradhan (Swarm Intell., 2020)

A Neutral Rewrite Mutation Operator for Genetic Programming applied to Boolean Domain Problems. - Dmytro Vitel; Alessio Gaspar; R. Paul Wiegand (FLAIRS, 2021)

Population-Based Novelty Searches Can Converge. - R. Paul Wiegand (FLAIRS, 2021)

Identifying Informatively Easy and Informatively Hard Concepts. - R. Paul Wiegand; Anthony Bucci; Amruth N. Kumar; Jennifer L. Albert; Alessio Gaspar (ACM Trans. Comput. Educ., 2022)

Preliminary Analysis of Simple Novelty Search. - R. Paul Wiegand (Evol. Comput., 2024)

Robust Search for the Underlying Objectives in Black-Box Games with Binary Outcomes. - Dmytro Vitel; Alessio Gaspar; R. Paul Wiegand (EvoApplications (2), 2025)

Coordinate System Extraction as the Search Driver in Test-Based Genetic Programming. - Dmytro Vitel; Kok Cheng Tan; Alessio Gaspar; R. Paul Wiegand (GECCO, 2025)