On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants

Gregory R. Kramer; John C. Gallagher; Michael L. Raymer

doi:10.1109/EH.2004.1310834

On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants

Gregory R. Kramer, John C. Gallagher, Michael L. Raymer

Wright State University

Research output: Contribution to conference › Presentation

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.

Original language	American English
DOIs	https://doi.org/10.1109/EH.2004.1310834
State	Published - Jun 1 2004
Event	Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware - Duration: Jun 1 2004 → …

Conference

Conference	Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware
Period	6/1/04 → …

Disciplines

Bioinformatics
Communication
Communication Technology and New Media
Computer Sciences
Databases and Information Systems
Life Sciences
OS and Networks
Physical Sciences and Mathematics
Science and Technology Studies
Social and Behavioral Sciences

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http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1310834

Cite this

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title = "On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants",

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.",

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year = "2004",

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AU - Gallagher, John C.

AU - Raymer, Michael L.

PY - 2004/6/1

Y1 - 2004/6/1

N2 - 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.

AB - 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.

UR - https://corescholar.libraries.wright.edu/knoesis/926

UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1310834

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DO - 10.1109/EH.2004.1310834

M3 - Presentation

T2 - Proceedings of the 2004 NASA/DoD Conference on Evolvable Hardware

Y2 - 1 June 2004

ER -

On the Relative Efficacies of *cGA Variants for Intrinsic Evolvable Hardware: Population, Mutation, and Random Immigrants

Abstract

Conference

Disciplines

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