| 2009 |
|---|
| 12 | EE | Peter Bruza,
Donald Sofge,
William F. Lawless,
Keith van Rijsbergen,
Matthias Klusch:
Quantum Interaction, Third International Symposium, QI 2009, Saarbrücken, Germany, March 25-27, 2009. Proceedings
Springer 2009 |
| 2008 |
|---|
| 11 | EE | Donald Sofge:
A Survey of Quantum Programming Languages: History, Methods, and Tools.
ICQNM 2008: 66-71 |
| 2007 |
|---|
| 10 | EE | Donald Sofge:
Structural Health Monitoring Using Neural Network Based Vibrational System Identification
CoRR abs/0705.3669: (2007) |
| 9 | EE | Peter F. Lichtenwalner,
Donald Sofge:
Local Area Damage Detection in Composite Structures Using Piezoelectric Transducers
CoRR abs/0705.4654: (2007) |
| 8 | EE | Donald Sofge,
Mitchell A. Potter,
Magdalena D. Bugajska,
Alan C. Schultz:
Challenges and Opportunities of Evolutionary Robotics
CoRR abs/0706.0457: (2007) |
| 7 | EE | Donald Sofge:
Virtual Sensor Based Fault Detection and Classification on a Plasma Etch Reactor
CoRR abs/0706.0465: (2007) |
| 6 | EE | Donald Sofge,
David L. Elliott:
Improved Neural Modeling of Real-World Systems Using Genetic Algorithm Based Variable Selection
CoRR abs/0706.1051: (2007) |
| 5 | EE | Donald Sofge,
Gerald Chiang:
Design, Implementation, and Cooperative Coevolution of an Autonomous/ Teleoperated Control System for a Serpentine Robotic Manipulator
CoRR abs/0706.1061: (2007) |
| 2006 |
|---|
| 4 | EE | 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 |
|---|
| 3 | EE | 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 |
| 2002 |
|---|
| 2 | EE | Donald Sofge,
Alan C. Schultz,
Kenneth DeJong:
Evolutionary Computational Approaches to Solving the Multiple Traveling Salesman Problem Using a Neighborhood Attractor Schema.
EvoWorkshops 2002: 153-162 |
| 1 | | Donald Sofge:
Using Genetic Algorithm Based Variable Selection to Improve Neural Network Models for Real-World Systems.
ICMLA 2002: 16-19 |
