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Measuring rate of evolution in genetic programming using amino acid to synonymous substitution ratio ka/ks

Published: 12 July 2008 Publication History

Abstract

We define the rate of evolution Re in a GP system based on the rate of efficient genetic variations being accepted. This definition is motivated by the measurement of "amino acid to synonymous substitution ratio" ka/ks in biology. Experimental applications of this rate of evolution measurement show that Re well reflects how evolution proceeds underneath fitness development and quantifies the rate of innovation through efficient genetic variations.

References

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W. Banzhaf, G. Beslon, S. Christensen, J. A. Foster, F. Kepes, V. Lefort, J. F. Miller, M. Radman, and J. J. Ramsden. From artificial evolution to computational evolution: A research agenda. Nature Reviews Genetics, 7(9):729--735, September 2006.
[2]
Z. Yang and J. P. Bielawski. Statistical methods for detecting molecular adaptation. Trends in Ecology and Evolution, 15(12):496--503, December 2000.

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  • (2008)Nonsynonymous to Synonymous Substitution Ratio $k_{\mathrm a}/k_{\mathrm s}$Proceedings of the 10th International Conference on Parallel Problem Solving from Nature --- PPSN X - Volume 519910.5555/2951659.2951707(448-457)Online publication date: 13-Sep-2008
  • (2008)Nonsynonymous to Synonymous Substitution Ratio $k_{\mathrm a}/k_{\mathrm s}$ : Measurement for Rate of Evolution in Evolutionary ComputationParallel Problem Solving from Nature – PPSN X10.1007/978-3-540-87700-4_45(448-457)Online publication date: 2008

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cover image ACM Conferences
GECCO '08: Proceedings of the 10th annual conference on Genetic and evolutionary computation
July 2008
1814 pages
ISBN:9781605581309
DOI:10.1145/1389095
  • Conference Chair:
  • Conor Ryan,
  • Editor:
  • Maarten Keijzer
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 12 July 2008

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Author Tags

  1. ka/ks ratio
  2. genetic programming
  3. rate of evolution

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Cited By

View all
  • (2008)Nonsynonymous to Synonymous Substitution Ratio $k_{\mathrm a}/k_{\mathrm s}$Proceedings of the 10th International Conference on Parallel Problem Solving from Nature --- PPSN X - Volume 519910.5555/2951659.2951707(448-457)Online publication date: 13-Sep-2008
  • (2008)Nonsynonymous to Synonymous Substitution Ratio $k_{\mathrm a}/k_{\mathrm s}$ : Measurement for Rate of Evolution in Evolutionary ComputationParallel Problem Solving from Nature – PPSN X10.1007/978-3-540-87700-4_45(448-457)Online publication date: 2008

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