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DNA Computing Based Multi-objective Genetic Algorithm

In: DNA Computing Based Genetic Algorithm

Author

Listed:
  • Jili Tao

    (NingboTech University, School of Information Science and Engineering)

  • Ridong Zhang

    (Hangzhou Dianzi University, The Belt and Road Information Research Institute)

  • Yong Zhu

    (NingboTech University, School of Information Science and Engineering)

Abstract

In this chapter, DNA computing based non-dominated sorting genetic algorithm is described for solving the multi-objective optimization problems. First, the inconsistent multi-objective functions are converted into Pareto rank value and density information of solution distribution. Then, the archive is introduced to keep the Pareto front individuals by Pareto sorting, and the maintaining scheme is executed to maintain the evenness of individual distribution in terms of individual crowding measuring.

Suggested Citation

  • Jili Tao & Ridong Zhang & Yong Zhu, 2020. "DNA Computing Based Multi-objective Genetic Algorithm," Springer Books, in: DNA Computing Based Genetic Algorithm, chapter 0, pages 81-100, Springer.
    • Handle: RePEc:spr:sprchp:978-981-15-5403-2_4
    DOI: 10.1007/978-981-15-5403-2_4
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