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Presentation
On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants
Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware
  • Gregory R. Kramer
  • John C. Gallagher, Wright State University - Main Campus
  • Michael L. Raymer, Wright State University - Main Campus
Document Type
Conference Proceeding
Publication Date
6-1-2004
Abstract
Previous work has demonstrated the efficacy and feasibility of the simulated population *cGA family for embedded EH applications. This paper introduces and discusses a new *cGA variant that increases search efficacy on a specific class of EH problems without increasing the amount of hardware required for implementation. We discuss the new EA variant and provide experimental verification of its superiority against both the Dejong benchmarks and a practical problem in the construction of an EH controller to suppress thermoacoustic instability. We also compare these results with similar population-based and a population-less EAs to help understand the effects of introducing a simulated population. We conclude with a brief discussion of possible implications for the EH community in general.
Comments

Presented at the NASA/DoD Conference on Evolvable Hardware, Seattle, WA, June 24-26, 2004.

DOI
10.1109/EH.2004.1310834
Citation Information
Gregory R. Kramer, John C. Gallagher and Michael L. Raymer. "On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants" Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware (2004) p. 225 - 230 ISSN: 0769521452
Available at: http://works.bepress.com/michael_raymer/35/