| An empirical study of crossover and mass extinction in a genetic algorithm for pathfinding in a continuous environment HD Mathias, VR Ragusa 2016 IEEE Congress on Evolutionary Computation (CEC), 4111-4118, 2016 | 16 | 2016 |
| Micro aerial vehicle path planning and flight with a multi-objective genetic algorithm HD Mathias, VR Ragusa Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016: Volume …, 2018 | 9 | 2018 |
| Enhanced genetic path planning for autonomous flight VR Ragusa, HD Mathias, VA Kazakova, AS Wu Proceedings of the Genetic and Evolutionary Computation Conference, 1208-1215, 2017 | 8 | 2017 |
| Connections between noisy fitness and selection strength VR Ragusa, C Bohm ALIFE 2021: The 2021 Conference on Artificial Life, 2021 | 4 | 2021 |
| Micro aerial vehicle pathfinding and flight using a multi-objective genetic algorithm D Mathias, V Ragusa Intelligent Systems Conference, 2016 | 3 | 2016 |
| Augmenting evolution with bio-inspired “super explorers” V Ragusa, C Bohm Artificial Life Conference Proceedings 34 2022 (1), 56, 2022 | 2 | 2022 |
| A multi-objective genetic algorithm for path planning with micro aerial vehicle test bed HD Mathias, VR Ragusa Intelligent Systems and Applications: Extended and Selected Results from the …, 2018 | 1 | 2018 |
| Reduced selection during sweeps lead to adaptive momentum on rugged landscapes C Bohm, VR Ragusa, C Ofria, RE Lenski, C Adami bioRxiv, 2024.04. 08.588357, 2024 | | 2024 |
| The Role of Disequilibrium in Evolutionary Discovery VR Ragusa, C Bohm ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life …, 2023 | | 2023 |
| Harnessing the Complexity of Natural Evolution to Enhance Evolutionary Algorithms VR Ragusa Michigan State University, 2023 | | 2023 |
| Genetic Algorithms for Applied Path Planning VR Ragusa Florida Southern College, 2017 | | 2017 |
H. David MathiasDept of Computer Science, University of Wisconsin - La CrosseDirección de correo verificada de uwlax.edu
