Nature-inspired computing
NCCS Lab
Natural Computation and Coadaptive Systems Laboratory
Studying nature-inspired computational mechanisms and interaction-oriented complex adaptive systems
Publications
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 2009 Genetic and Evolutionary Computation Conference. Pages (to appear). ACM Press.
Gautham Anil and R. Paul Wiegand (2009). Black-box Search by Elimination of Fitness Functions. In Foundations of Genetic Algorithms X. Pages 67–78. ACM Press.
Chris Ellis and R. Paul Wiegand (2008). Actuation Constraints and Artificial Physics Control. In Proceedings of the Ninth International Conference on Parallel Problem Solving from Nature. Pages 389–398. (c) Springer. [Download From publisher]
Liviu Panait, Sean Luke, and R. Paul Wiegand (2006). Biasing Coevolutionary Search for Optimal Multiagent Behaviors. IEEE Transactions on Evolutionary Computation, 10(6) : 629-645. IEEE Press [Download from publisher]
R. Paul Wiegand and Mitch A. Potter (2006). Robustness in Cooperative Coevolution. In Proceedings of the 2006 Genetic and Evolutionary Computation Conference. Pages 368–376. ACM Press. [Download from publisher]
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 of the Ninth International Conference on Parallel Problem Solving from Nature. Pages 741–750. (c) Springer. [Download from publisher]
Mitch A. Potter, R. Paul Wiegand, H. Joseph Blumenthal, and Donald A. Sofge (2005). Effects of Experience Bias When Seeding With Prior Results. In Proceedings of the 2005 Congress on Evolutionary Computation. Pages 2730–2737. IEEE Press. [Download from publisher]
Thomas Jansen and R. Paul Wiegand (2004). Bridging the Gap Between Theory and Practice. In Proceedings of Parallel Problem Solving from Nature VIII. Pages 61–71. (c) Springer. [Download from publisher]
Thomas Jansen and R. Paul Wiegand (2004). The Cooperative Coevolutionary (1+1) EA. Evolutionary Computation, 12(4). MIT Press [Download from publisher]
Liviu Panait, R. Paul Wiegand, and Sean Luke (2004). A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization. In Proceedings of the 2004 Genetic and Evolutionary Computation Conference. (c) Springer.
Liviu Panait, R. Paul Wiegand, and Sean Luke (2004). A Visual Demonstration of Convergence Properties of Cooperative Coevolution. In Proceedings of Parallel Problem Solving from Nature VIII. Pages 892–901. (c) Springer. [Download from publisher]
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 Proceedings of Parallel Problem Solving from Nature VIII. Pages 912–921. (c) Springer. [Download from publisher]
Thomas Jansen and R. Paul Wiegand (2003). Sequential versus parallel cooperative coevolutionary (1+1) EAs. In Proceedings of the 2003 Congress on Evolutionary Computation. Pages 30–37. IEEE Press. [Download from publisher]
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. [PDF] [PostScript]
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.
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. [PDF] [PostScript]
Sean Luke and R. Paul Wiegand (2002). Guaranteeing Coevolutionary Objective Measures. In Foundations of Genetic Algorithms VII. Pages 237-251. Morgan Kaufman. [PDF] [PostScript]
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]
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. [PDF] [PostScript]
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. [PDF] [PostScript]
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 2001 Genetic and Evolutionary Computation Conference. 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 2001 Genetic and Evolutionary Computation Conference. 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 Parallel Problem Solving fron Nature V. Pages 560–569. (c) Springer. [PDF] [PostScript] [GZipped PostScript]