| Handbook of Intelligent Control: Neural, Fuzzy, and Adaptive Approaches DA White, DA Sofge Van Nostrand Reinhold, New York, 1992 | 1165* | 1992 |
| Neurocontrol and supervised learning: An overview and evaluation PJ Werbos Handbook of intelligent control 65, 89, 1992 | 271 | 1992 |
| Auctions for multi-robot task allocation in communication limited environments M Otte, MJ Kuhlman, D Sofge Autonomous Robots 44, 547-584, 2020 | 168 | 2020 |
| Virtual sensor based monitoring and fault detection/classification system and method for semiconductor processing equipment GG Barna, SW Butler, DA Sofge, DA White US Patent 5,864,773, 1999 | 166 | 1999 |
| Reactive motion planning for unmanned aerial surveillance of risk-sensitive areas A Wallar, E Plaku, DA Sofge IEEE Transactions on Automation Science and Engineering 12 (3), 969-980, 2015 | 94 | 2015 |
| A blended population approach to cooperative coevolution for decomposition of complex problems D Sofge, K De Jong, A Schultz Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat …, 2002 | 85 | 2002 |
| Evolutionary computational approaches to solving the multiple traveling salesman problem using a neighborhood attractor schema D Sofge, A Schultz, K De Jong Workshops on Applications of Evolutionary Computation, 153-162, 2002 | 66 | 2002 |
| Onboard flow sensing for downwash detection and avoidance with a small quadrotor helicopter D Yeo, N Sydney, DA Paley, D Sofge AIAA Guidance, Navigation, and Control Conference, 1769, 2015 | 65* | 2015 |
| Evaluations: autonomy and artificial intelligence: a threat or savior? WF Lawless, DA Sofge Autonomy and artificial intelligence: a threat or savior?, 295-316, 2017 | 61 | 2017 |
| A survey of quantum programming languages: History, methods, and tools DA Sofge Second International Conference on Quantum, Nano and Micro Technologies …, 2008 | 50 | 2008 |
| Neural network based process optimization and control DA Sofge, DA White 29th IEEE Conference on Decision and Control, 3270-3276, 1990 | 50 | 1990 |
| Artificial intelligence, autonomy, and human-machine teams—interdependence, context, and explainable AI WF Lawless, R Mittu, D Sofge, L Hiatt Ai Magazine 40 (3), 5-13, 2019 | 49 | 2019 |
| Using Genetic Algorithm Based Variable Selection to Improve Neural Network Models for Real-World Systems. D Sofge ICMLA, 16-19, 2002 | 49* | 2002 |
| Toward a framework for quantum evolutionary computation DA Sofge 2006 IEEE Conference on Cybernetics and Intelligent Systems, 1-6, 2006 | 41* | 2006 |
| Multi-robot task allocation with auctions in harsh communication environments M Otte, M Kuhlman, D Sofge 2017 international symposium on multi-robot and multi-agent systems (MRS), 32-39, 2017 | 39 | 2017 |
| Robust intelligence and trust in autonomous systems R Mittu, D Sofge, A Wagner, WF Lawless Springer US, 2016 | 35 | 2016 |
| Artificial intelligence for the internet of everything W Lawless, R Mittu, D Sofge, ISS Moskowitz, S Russell Academic Press, 2019 | 34 | 2019 |
| Applied learning: Optimal control for manufacturing D White Handbook of Intelligent Control, 259-282, 1992 | 34 | 1992 |
| Challenges and opportunities of evolutionary robotics DA Sofge, MA Potter, MD Bugajska, AC Schultz 2nd Int'l Conf. on Computational Intelligence, Robotics, and Autonomous Systems, 2003 | 31* | 2003 |
| Conservation of Information: Reverse engineering dark social systems WF Lawless, S Rifkin, D Sofge, SH Hobbs, F Angjellari-Dajci, L Chaudron, ... Structure and Dynamics 4 (2), 2010 | 30 | 2010 |
Ranjeev MittuU.S. Naval Research LaboratoryDirección de correo verificada de nrl.navy.mil