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Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013 pp 81–88Cite as

The Optimization of DNA Encodings Based on GAFSA/GA Algorithm

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 212))

Abstract

The design of DNA sequence is important in improving the reliability of DNA computing. Some appropriate constrained terms that DNA sequence should satisfy are selected, and then the evaluation formulas of each DNA individual corresponding to the selected constrained terms are proposed. The paper analyzes the objective and several constraints of DNA encoding, it builds a combinational optimization model. A Global Artificial Fish Swarm algorithm/Genetic Algorithm (GAFSA/GA) is proposed to produce DNA encoding sequences. The result shows that the DNA sequences produced by GAFSA/GA have better quality than that produce by the genetic algorithm.

This Project supported by CNSF (Grant number: 61170172) and College youth talents foundation of Anhui Province (2012SQRL259) and Anhui University Of Science And Technology university scientific research projects.

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Author information

Authors and Affiliations

  1. The Foundation Department of Huainan Vocational Technical College, Huainan, 232001, China

    Juan Hu

  2. The Electronics Set of Huainan Industrial School, Huainan, 232001, China

    Dong Li

  3. Department of Mathematics and Physics, Anhui University of Science and Technology, Huainan, 232001, China

    Li-li Zhang & Zhixiang Yin

Authors
  1. Juan Hu
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  2. Dong Li
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  3. Li-li Zhang
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  4. Zhixiang Yin
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Corresponding author

Correspondence to Juan Hu .

Editor information

Editors and Affiliations

  1. School of Science, Anhui University of Science & Technology, Huainan, China

    Zhixiang Yin

  2. Huazhong University of Science and Technology, Wuhan, China

    Linqiang Pan

  3. Anhui University of Science & Technology, Huainan, China

    Xianwen Fang

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© 2013 Springer-Verlag Berlin Heidelberg

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Hu, J., Li, D., Zhang, Ll., Yin, Z. (2013). The Optimization of DNA Encodings Based on GAFSA/GA Algorithm. In: Yin, Z., Pan, L., Fang, X. (eds) Proceedings of The Eighth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), 2013. Advances in Intelligent Systems and Computing, vol 212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37502-6_10

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  • DOI: https://doi.org/10.1007/978-3-642-37502-6_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37501-9

  • Online ISBN: 978-3-642-37502-6

  • eBook Packages: EngineeringEngineering (R0)

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