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Doocy, L., Prager, S. D., Kider, J. T., Jr., & Wiegand, R. P. (2019). Robust path matching and anomalous route detection using posterior weighted graphs. ACM Transactions on Spatial Algorithms and Systems, 5(2), 1-19. https://doi.org/10.1145/3338905

Hanes, J., & Wiegand, R. P. (2019). Analytical and evolutionary methods for finding cut volumes in fault trees constrained by location. IEEE Transactions on reliability, 68(4), 1214-1226. https://doi.org/10.1109/tr.2019.2913746

Bari, A. T. M. G., Gaspar, A., Wiegand, R. P., Albert, J. L., Bucci, A., & Kumar, A. N. (2019). EvoParsons: design implementation and preliminary evaluation of evolutionary Parsons puzzle. Genetic Programming and Evolvable Machines, 20(2), 213-244. https://doi.org/10.1007/s10710-019-09343-7

Bari, A. G., Gaspar, A., Wiegand, R. P., & Bucci, A. (2018, July). Selection methods to relax strict acceptance condition in test-based coevolution. 2018 IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/cec.2018.8477934

Fandango, A., & Wiegand, R. P. (2018). Towards investigation of interactive strategy for data mining of short-term traffic flow with Recurrent Neural Networks. Proceedings of the 2nd International Conference on Information System and Data Mining – ICISDM’18. https://doi.org/10.1145/3206098.3206112

Giroux, A. L., Harper, C., & Wiegand, R. P. (2017). Evaluating multi-criteria connection mechanisms: A new algorithm for browsing digital archives. Digital Scholarship in the Humanities, 33(3), 540-547. https://doi.org/10.1093/llc/fqx057

Gaspar, A., Bari, A. T. M. G., Kumar, A. N., Bucci, A., Wiegand, R. P., & Albert, J. L. (2016, November). Evolutionary practice problems generation: Design guidelines. 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI). https://doi.org/10.1109/ictai.2016.0089

Hanes, J., & Wiegand, R. P. (2015). Using L-systems to generate fault treses for benchmarking and testing. Proceedings of the 28th International Florida Artificial Intelligence Symposium, 173–178. https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS16/paper/view/12951/12562

Wu, A. S., Wiegand, R. P., & Pradham, R. (2015). Building redundancy in multi-agent systems using probabilistic action. Proceedings of the 28th International Florida Artificial Intelligence Symposium. https://www.aaai.org/ocs/index.php/FLAIRS/FLAIRS16/paper/view/12957/12602

Mondesire, S., & Wiegand, R. P. (2014). Forgetting beneficial knowledge in decomposition-based reinforcement learning using evolutionary computation. Proceedings of the International Conference on Genetic and Evolutionary Methods (GEM). https://search.proquest.com/docview/1648624007?accountid=10003