Education
Ph.D. 1992, Electrical Engineering, University of Washington
Research Interests
My research interest is the field of evolutionary computation (EC)---i.e., the design of computer algorithms that emulate the Darwinian principles of "survival of the fittest" found in Nature to solve difficult optimization problems. A brief introduction to EC can be found here.
My current research projects use EC techniques to design adaptive analog systems.
Selected Publications
G. Quan, G. Greenwood, X. Hu, "Searching for Multiobjective Preventive Maintenance Schedules: Combining Preferences with Evolutionary Algorithms," European Journal of Operations Research, Vol. 177, Issue 3, 1969-1984, 2007.
G. Greenwood, Andy Tyrell, Introduction to Evolvable Hardware: A Practical Guide for Designing Self-Adaptive Systems, Wiley-IEEE Press, 2006.
G. Greenwood, "On the Practicality of Using Intrinsic Reconfiguration for Fault Recovery," IEEE Transactions on Evolutionary Computation, vol. 9(4), 398-405, 2005.
G. Greenwood, D. Hunter, E. Ramsden, "Fault Recovery in Linear Systems via Intrinsic Evolution," 2004 NASA/DOD Conference on Evolvable Hardware, 115-122, 2004.
G. Greenwood, "Intrinsic Evolution of Safe Control Strategies for Autonomous Spacecraft," IEEE Transactions on Aerospace & Electronic Systems, vol. 40 (1), 236-246, 2004.
G. Greenwood, "On the Usefulness of Accessibility Graphs with Combinatorial Optimization Problems," Journal of Interdisciplinary Mathematics, 2004.
G. Greenwood, "Adapting Mutations in Genetic Algorithms Using Gene Flow Principles," Proceedings 2003 Congress on Evolutionary Computation, 1392-1397, 2003.
G. Greenwood, E. Ramsden, S. Ahmed, "An Empirical Comparison of Evolutionary Algorithms for Evolvable Hardware with Maximum Time-to-Reconfigure Requirements," Proceedings 2003 NASA/DOD Conference on Evolvable Hardware, 59-66, 2003.
G. Greenwood, J. Shin, G. Fogel, D. Corne, On the Evolutionary Search for Solutions to the Protein Folding Problem, Morgan-Kauffman, New York, 115-136, 2002.
