R. Paul  Wiegand's Publications
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Journal Articles, FOGA Articles, and Book Chapters

Steven D Prager and R Paul Wiegand (2014)
Modeling Use of Space from Social Media Data Using a Biased Random Walker. Transactions in GIS, 18(6) : 817–833.

Elena Popovici, Anthony Bucci, R Paul Wiegand, and Edwin D de Jong (2012)
Coevolutionary principles. In Handbook of Natural Computing.  Pages 987–1033.  Springer Berlin Heidelberg.

R Paul Wiegand (2011)
Coevolutionary Learning. In Encyclopedia of Machine Learning.  Pages 184–189.  Springer US.

R Paul Wiegand and Chris Ellis (2011)
Physicomimetic Swarm Design Considerations: Modularity, Scalability, Heterogeneity, and the Prediction Versus Control Dilemma. In Physicomimetics.  Pages 505–527.  (c) Springer.

Gautham Anil and R Paul Wiegand (2009)
Black-box search by elimination of fitness functions. In Foundations of Genetic Algorithms X.  Pages 67–78.
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Liviu Panait, Sean Luke, and R. Paul Wiegand (2006)
Biasing Coevolutionary Search for Optimal Multiagent Behaviors. IEEE Transactions on Evolutionary Computation, 10(6)   IEEE Press

Thomas Jansen and R. Paul Wiegand (2004)
The Cooperative Coevolutionary (1+1) EA. Evolutionary Computation, 12(4)   MIT Press

Sean Luke and R. Paul Wiegand (2002)
Guaranteeing Coevolutionary Objective Measures. In Foundations of Genetic Algorithms VII.  Pages 237-251.  Morgan Kaufman.
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R. Paul Wiegand, William C. Liles, and Kenneth A. De Jong (2002)
Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory. In Foundations of Genetic Algorithms VII.  Pages 203-220.  Morgan Kaufman.
[PDF]  [PostScript

Other Peer-Reviewed Articles

Anthony Bucci, R. Paul Wiegand, Amruth N. Kumar, Jennifer L. Albert, and Alessio Gaspar (2016)
Dimension Extraction Analysis of Student Performance on Problems. In Proceedings of the $29^{th}$ International Conference of the Florida Artificial Intelligence Research Society.
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Jeff Hanes and R. Paul Wiegand (2016)
Using L-Systems to Generate Fault Trees for Benchmarking \& Testing. In Proceedings of the $29^{th}$ International Conference of the Florida Artificial Intelligence Research Society.
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R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert, and Alessio Gaspar (2016)
A Data-Driven Analysis of Informatively Hard Concepts in Introductory Programming. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education.  Pages 370–375.  ACM.
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Annie S. Wu, R. Paul Wiegand, and Ramya Pradhan (2016)
Building Redundancy in Multi-agent Systems Using Probabilistic Action . In Proceedings of the $29^{th}$ International Conference of the Florida Artificial Intelligence Research Society.
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Sean C Mondesire and R Paul Wiegand (2015)
A Demonstration of Stability-Plasticity Imbalance in Multi-agent, Decomposition-Based Learning. In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA).  Pages 1070–1075.
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Sean Mondesire and R Paul Wiegand (2014)
Forgetting Beneficial Knowledge in Decomposition-Based Reinforcement Learning Using Evolutionary Computation. Proceedings of the International Conference on Genetic and Evolutionary Methods (ICGEM) : 1.   WorldComp
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Steven Prager and R. Paul Wiegand (2014)
Real-time detection of anomalous paths through networks. In Proceedings of the AGILE'2014 International Conference on Geographic Information Science.
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Sean Mondesire and R Paul Wiegand (2013)
Forgetting Classification and Measurement for Decomposition-based Reinforcement Learning. Proceedings on the International Conference on Artificial Intelligence (ICAI) : 1.   WorldComp
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Annie S Wu, R Paul Wiegand, and Ramya Pradhan (2013)
Using response probability to build system redundancy in multiagent systems. In Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems.  Pages 1343–1344.
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Gautham Anil and R Paul Wiegand (2011)
Domain specific analysis and modeling of optimal elimination of fitness functions with optimal sampling. In Proceedings of the 13th annual conference on Genetic and evolutionary computation.  Pages 2067–2074.
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Sean Mondesire and R Paul Wiegand (2011)
Evolving a non-playable character team with layered learning. In Computational Intelligence in Multicriteria Decision-Making (MDCM), 2011 IEEE Symposium on.  Pages 52–59.
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Chandana Ghosh, R Paul Wiegand, Brian Goldiez, and Troy Dere (2010)
An architecture supporting large scale MMOGs. In Proceedings of the 3rd international ICST conference on simulation tools and techniques.  Pages 2.
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R Paul Wiegand, Gautham Anil, Ivan I Garibay, Ozlem O Garibay, and Annie S Wu (2009)
On the performance effects of unbiased module encapsulation. In Proceedings of the 11th Annual conference on Genetic and evolutionary computation.  Pages 1729–1736.
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Chris Ellis and R Paul Wiegand (2008)
Actuation constraints and artificial physics control. In Parallel Problem Solving from Nature--PPSN X.  Pages 389–398.  Springer Berlin Heidelberg.
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R. Paul Wiegand and Mitch A. Potter (2006)
Robustness in Cooperative Coevolution. In Proceedings from the 2006 Genetic and Evolutionary Computation Conference.  Pages 368–376.  ACM Press.
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R. Paul Wiegand, Mitch A. Potter, Don A. Sofge, and William M. Spears (2006)
A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems. In Proceedings from the Ninth International Conference on Parallel Problem Solving from Nature.  Pages 741–750.  (c) Springer.
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Mitch A. Potter, R. Paul Wiegand, H. Joseph Blumenthal, and Donald A. Sofge (2005)
Effects of Experience Bias When Seeding With Prior Results. In Congress on Evolutionary Computation --- CEC-2005.  Pages 2730–2737.  IEEE Press.
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Thomas Jansen and R. Paul Wiegand (2004)
Bridging the Gap Between Theory and Practice. In Parallel Problem Solving from Nature -- PPSN-2004.  Pages 61–71.  (c) Springer.
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Liviu Panait, R. Paul Wiegand, and Sean Luke (2004)
A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization. In Genetic and Evolutionary Computation Conference -- GECCO-2004.  (c) Springer.
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Liviu Panait, R. Paul Wiegand, and Sean Luke (2004)
A Visual Demonstration of Convergence Properties of Cooperative Coevolution. In Parallel Problem Solving from Nature -- PPSN-2004.  Pages 892–901.  (c) Springer.
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R. Paul Wiegand (2004)
An Analysis of Cooperative Coevolutionary Algorithms.
Ph.D. Thesis, George Mason University, Fairfax, VA.
[Abstract]  [Downloading Instructions

R. Paul Wiegand and Jayshree Sarma (2004)
Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms. In Parallel Problem Solving from Nature -- PPSN-2004.  Pages 912–921.  (c) Springer.
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Thomas Jansen and R. Paul Wiegand (2003)
Exploring the Explorative Advantage of the CC (1+1) EA. In Proceedings of the 2003 Genetic and Evolutionary Computation Conference.  (c) Springer.
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Liviu Panait, R. P. Wiegand, and Sean Luke (2003)
Improving Coevolutionary Search for Optimal Multiagent Behaviors. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03).   Georg Gottlob and Toby Walsh editor(s).  Pages 653–658.
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Sean Luke and R. Paul Wiegand (2002)
When Coevolutionary Algorithms Exhibit Evolutionary Dynamics. In Workshop Proceedings of the 2003 Genetic and Evolutionary Computation Conference.  (c) Springer.
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R. Paul Wiegand, William C. Liles, and Kenneth A. De Jong (2002)
Analyzing Cooperative Coevolution with Evolutionary Game Theory. In Proceedings of the 2002 Congress on Evolutionary Computation.  Pages 1600-1605.  IEEE Press.
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R. Paul Wiegand, William C. Liles, and Kenneth A. De Jong (2002)
The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution. In Proceedings of the Seventh Conference on Parallel Problem Solving from Nature.  Pages 257-268.  (c) Springer.
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Jeffrey K. Bassett, R. Paul Wiegand, and Kenneth A. De Jong (2001)
Evolving Multi--Agent Behaviors Using a Tunable Problem Landscape. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2001.  Pages 1133 (Poster).  Morgan Kaufmann Publishers.

R. Paul Wiegand, William C. Liles, and Kenneth A. De Jong (2001)
An Empirical Analysis of Collaboration Methods in Cooperative Coevolutionary Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO) 2001.  Pages 1235–1245.  Morgan Kaufmann Publishers.
[PostScript]  [GZipped PostScript]  [PDF]  [Errata

R. P. Wiegand (1999)
Applying Diffusion to a Cooperative Coevolutionary Model. In Proceedings of the Fifth International Conference on Parallel Problem Solving fron Nature (PPSN V).  Pages 560–569.  (c) Springer.
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