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R. Paul Wiegand
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2020 – today
- 2024
- [j10]R. Paul Wiegand:
Preliminary Analysis of Simple Novelty Search. Evol. Comput. 32(3): 249-273 (2024) - 2022
- [j9]R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar:
Identifying Informatively Easy and Informatively Hard Concepts. ACM Trans. Comput. Educ. 22(1): 7:1-7:28 (2022) - 2021
- [c39]Dmytro Vitel, Alessio Gaspar, R. Paul Wiegand:
A Neutral Rewrite Mutation Operator for Genetic Programming applied to Boolean Domain Problems. FLAIRS 2021 - [c38]R. Paul Wiegand:
Population-Based Novelty Searches Can Converge. FLAIRS 2021 - 2020
- [j8]Annie S. Wu, R. Paul Wiegand, Ramya Pradhan:
Response probability enhances robustness in decentralized threshold-based robotic swarms. Swarm Intell. 14(3): 233-258 (2020) - [c37]R. Paul Wiegand:
The Objective of Simple Novelty Search. FLAIRS 2020: 166-171 - [c36]Armando Fandango, R. Paul Wiegand, Liqiang Ni, Samiul Hasan:
Impact of Augmenting GRU Networks with Iterative and Direct Strategies for Traffic Speed Forecasting. FLAIRS 2020: 466-471
2010 – 2019
- 2019
- [j7]A. T. M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Jennifer L. Albert, Anthony Bucci, Amruth N. Kumar:
EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle. Genet. Program. Evolvable Mach. 20(2): 213-244 (2019) - [j6]Jeff Hanes, R. Paul Wiegand:
Analytical and Evolutionary Methods for Finding Cut Volumes in Fault Trees Constrained by Location. IEEE Trans. Reliab. 68(4): 1214-1226 (2019) - [j5]Lauren Doocy, Steven D. Prager, Joseph T. Kider Jr., R. Paul Wiegand:
Robust Path Matching and Anomalous Route Detection Using Posterior Weighted Graphs. ACM Trans. Spatial Algorithms Syst. 5(2): 14:1-14:19 (2019) - 2018
- [j4]Amy Larner Giroux, Connie Harper, R. Paul Wiegand:
Evaluating multi-criteria Connection mechanisms: A new algorithm for browsing digital archives. Digit. Scholarsh. Humanit. 33(3): 540-547 (2018) - [c35]A. T. M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Anthony Bucci:
Selection Methods to Relax Strict Acceptance Condition in Test-Based Coevolution. CEC 2018: 1-8 - [c34]Armando Fandango, R. Paul Wiegand:
Towards investigation of iterative strategy for data mining of short-term traffic flow with Recurrent Neural Networks. ICISDM 2018: 65-69 - 2017
- [c33]Alessio Gaspar, A. T. M. Golam Bari, R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert:
Evolutionary Practice Problems Generation: More Design Guidelines. FLAIRS 2017: 549-554 - [c32]A. T. M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Anthony Bucci:
Does relaxing strict acceptance condition improve test based pareto coevolution? SSCI 2017: 1-8 - [r2]R. Paul Wiegand:
Coevolutionary Learning. Encyclopedia of Machine Learning and Data Mining 2017: 232-237 - 2016
- [c31]Jeff Hanes, R. Paul Wiegand:
Using L-Systems to Generate Fault Trees for Benchmarking and Testing. FLAIRS 2016: 173-178 - [c30]Annie S. Wu, R. Paul Wiegand, Ramya Pradhan:
Building Redundancy in Multi-Agent Systems Using Probabilistic Selection. FLAIRS 2016: 404-409 - [c29]Anthony Bucci, R. Paul Wiegand, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar:
Dimension Extraction Analysis of Student Performance on Problems. FLAIRS 2016: 467-472 - [c28]Alessio Gaspar, A. T. M. Golam Bari, Amruth N. Kumar, Anthony Bucci, R. Paul Wiegand, Jennifer L. Albert:
Evolutionary Practice Problems Generation: Design Guidelines. ICTAI 2016: 544-548 - [c27]R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar:
A Data-Driven Analysis of Informatively Hard Concepts in Introductory Programming. SIGCSE 2016: 370-375 - 2015
- [c26]Sean C. Mondesire, R. Paul Wiegand:
A Demonstration of Stability-Plasticity Imbalance in Multi-agent, Decomposition-Based Learning. ICMLA 2015: 1070-1075 - 2014
- [j3]Steven D. Prager, R. Paul Wiegand:
Modeling Use of Space from Social Media Data Using a Biased Random Walker. Trans. GIS 18(6): 817-833 (2014) - 2013
- [c25]Annie S. Wu, R. Paul Wiegand, Ramya Pradhan:
Using response probability to build system redundancy in multiagent systems. AAMAS 2013: 1343-1344 - 2012
- [c24]Annie S. Wu, R. Paul Wiegand, Ramya Pradhan, Gautham Anil:
The Effects of Inter-Agent Variation on Developing Stable and Robust Teams. AAAI Spring Symposium: AI, The Fundamental Social Aggregation Challenge 2012 - [p1]Elena Popovici, Anthony Bucci, R. Paul Wiegand, Edwin D. de Jong:
Coevolutionary Principles. Handbook of Natural Computing 2012: 987-1033 - 2011
- [c23]Sean C. Mondesire, R. Paul Wiegand:
Evolving a Non-playable Character team with Layered Learning. MCDM 2011: 52-59 - [c22]Gautham Anil, R. Paul Wiegand:
Domain specific analysis and modeling of optimal elimination of fitness functions with optimal sampling. GECCO 2011: 2067-2074 - 2010
- [c21]Chandana Ghosh, R. Paul Wiegand, Brian F. Goldiez, Troy Dere:
An architecture supporting large scale MMOGs. SimuTools 2010: 2 - [r1]R. Paul Wiegand:
Coevolutionary Learning. Encyclopedia of Machine Learning 2010: 184-189
2000 – 2009
- 2009
- [c20]Gautham Anil, R. Paul Wiegand:
Black-box search by elimination of fitness functions. FOGA 2009: 67-78 - [c19]R. Paul Wiegand, Gautham Anil, Ivan I. Garibay, Ozlem O. Garibay, Annie S. Wu:
On the performance effects of unbiased module encapsulation. GECCO 2009: 1729-1736 - [e2]Ivan I. Garibay, Thomas Jansen, R. Paul Wiegand, Annie S. Wu:
Foundations of Genetic Algorithms, 10th ACM SIGEVO International Workshop, FOGA 2009, Orlando, Forida, USA, January 9-11, 2009, Proceedings. ACM 2009, ISBN 978-1-60558-414-0 [contents] - 2008
- [c18]Chris Ellis, R. Paul Wiegand:
Actuation Constraints and Artificial Physics Control. PPSN 2008: 389-398 - 2007
- [c17]Edwin D. de Jong, Kenneth O. Stanley, R. Paul Wiegand:
Introductory tutorial on coevolution. GECCO (Companion) 2007: 3133-3157 - 2006
- [j2]Liviu Panait, Sean Luke, R. Paul Wiegand:
Biasing Coevolutionary Search for Optimal Multiagent Behaviors. IEEE Trans. Evol. Comput. 10(6): 629-645 (2006) - [c16]R. Paul Wiegand, Mitchell A. Potter:
Robustness in cooperative coevolution. GECCO 2006: 369-376 - [c15]R. Paul Wiegand, Mitchell A. Potter, Donald Sofge, William M. Spears:
A Generalized Graph-Based Method for Engineering Swarm Solutions to Multiagent Problems. PPSN 2006: 741-750 - 2005
- [c14]Mitchell A. Potter, R. Paul Wiegand:
Preface. AAAI Fall Symposium: Coevolutionary and Coadaptive Systems 2005 - [c13]Mitchell A. Potter, R. Paul Wiegand, H. Joseph Blumenthal, Donald Sofge:
Effects of experience bias when seeding with prior results. Congress on Evolutionary Computation 2005: 2730-2737 - [e1]Mitchell A. Potter, R. Paul Wiegand:
Coevolutionary and Coadaptive Systems, Papers from the 2005 AAAI Fall Symposium, Arlington, Virginia, USA, November 4-6, 2005. AAAI Technical Report FS-05-03, AAAI Press 2005 [contents] - 2004
- [j1]Thomas Jansen, R. Paul Wiegand:
The Cooperative Coevolutionary (1+1) EA. Evol. Comput. 12(4): 405-434 (2004) - [c12]Liviu Panait, R. Paul Wiegand, Sean Luke:
A Sensitivity Analysis of a Cooperative Coevolutionary Algorithm Biased for Optimization. GECCO (1) 2004: 573-584 - [c11]Thomas Jansen, R. Paul Wiegand:
Bridging the Gap Between Theory and Practice. PPSN 2004: 61-71 - [c10]Liviu Panait, R. Paul Wiegand, Sean Luke:
A Visual Demonstration of Convergence Properties of Cooperative Coevolution. PPSN 2004: 892-901 - [c9]R. Paul Wiegand, Jayshree Sarma:
Spatial Embedding and Loss of Gradient in Cooperative Coevolutionary Algorithms. PPSN 2004: 912-921 - 2003
- [c8]Thomas Jansen, R. Paul Wiegand:
Sequential versus parallel cooperative coevolutionary (1+1) EAs. IEEE Congress on Evolutionary Computation 2003: 30-37 - [c7]Thomas Jansen, R. Paul Wiegand:
Exploring the Explorative Advantage of the Cooperative Coevolutionary (1+1) EA. GECCO 2003: 310-321 - [c6]Liviu Panait, R. Paul Wiegand, Sean Luke:
Improving Coevolutionary Search for Optimal Multiagent Behaviors. IJCAI 2003: 653-660 - 2002
- [c5]R. Paul Wiegand, William C. Liles, Kenneth A. De Jong:
Analyzing cooperative coevolution with evolutionary game theory. IEEE Congress on Evolutionary Computation 2002: 1600-1605 - [c4]R. Paul Wiegand, William C. Liles, Kenneth A. De Jong:
Modeling Variation in Cooperative Coevolution Using Evolutionary Game Theory. FOGA 2002: 203-220 - [c3]Sean Luke, R. Paul Wiegand:
Guaranteeing Coevolutionary Objective Measures. FOGA 2002: 237-252 - [c2]R. Paul Wiegand, William C. Liles, Kenneth A. De Jong:
The Effects of Representational Bias on Collaboration Methods in Cooperative Coevolution. PPSN 2002: 257-270
1990 – 1999
- 1998
- [c1]R. Paul Wiegand:
Applying Diffusion to a Cooperative Coevolutionary Model. PPSN 1998: 560-572
Coauthor Index
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