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An Improved Non-dominated Sorting Genetic Algorithm-II (INSGA-II) applied to the design of DNA codewords

Author

Listed:
  • Wang, Yanfeng
  • Shen, Yongpeng
  • Zhang, Xuncai
  • Cui, Guangzhao
  • Sun, Junwei

Abstract

DNA codewords design is critical for many research fields, from DNA computing, to DNA hybridization arrays, to DNA nanotechnology. Results in the literature rely on a wide variety of design criteria adapted to the particular requirements of each application. Since DNA codewords design can be regarded as a multi-objective optimization problem, and nondominated sorting genetic algorithm II (NSGA-II) has been demonstrated as one of the most efficient algorithms for multi-objective optimization problems, in this paper, we proposed an improved nondominated sorting genetic algorithm II (INSGA-II) for the design of DNA codewords. The novelty of our method is that introduced the constraints to the non-dominated sorting process. The performance of our method is compared with other DNA codewords design methods, and the experiment results in silico showed that the INSGA-II has a higher convergence speed and better population diversity than those of other algorithms, and can provide reliable and effective codewords for the controllable DNA computing.

Suggested Citation

  • Wang, Yanfeng & Shen, Yongpeng & Zhang, Xuncai & Cui, Guangzhao & Sun, Junwei, 2018. "An Improved Non-dominated Sorting Genetic Algorithm-II (INSGA-II) applied to the design of DNA codewords," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 151(C), pages 131-139.
    • Handle: RePEc:eee:matcom:v:151:y:2018:i:c:p:131-139
    DOI: 10.1016/j.matcom.2018.03.011
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    Cited by:

    1. Cuevas, Erik & Becerra, Héctor & Luque, Alberto, 2021. "Anisotropic diffusion filtering through multi-objective optimization," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 181(C), pages 410-429.
    2. Yongting Shen & Hongxing Yang, 2022. "Multi-Objective Optimization of Integrated Solar-Driven CO 2 Capture System for an Industrial Building," Sustainability, MDPI, vol. 15(1), pages 1-25, December.
    3. Tahereh Malmir & Saeed Ranjbar & Ursula Eicker, 2020. "Improving Municipal Solid Waste Management Strategies of Montréal (Canada) Using Life Cycle Assessment and Optimization of Technology Options," Energies, MDPI, vol. 13(21), pages 1-15, October.

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