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PEGA: probabilistic environmental gradient-driven genetic algorithm considering epigenetic traits to balance global and local optimizations
Regular Papers | Updated：2024-07-11

    • PEGA: probabilistic environmental gradient-driven genetic algorithm considering epigenetic traits to balance global and local optimizations

    • PEGA：一种考虑表观遗传特征平衡全局和局部优化的概率环境梯度驱动遗传算法
    • “In the realm of epigenetics, a new genetic algorithm has been proposed that enhances the stability and accuracy of genetic algorithms by addressing their limitations. The PEGA algorithm introduces a probabilistic environmental gradient descent strategy and a variable nucleosome reorganization operator, which significantly outperforms existing algorithms in terms of accuracy and stability, as demonstrated through comprehensive tests and real-world applications.”
    • Frontiers of Information Technology & Electronic Engineering   Vol. 25, Issue 6, Pages: 839-855(2024)

    • DOI：10.1631/FITEE.2300170    

      CLC： TP301

    • Received：10 March 2023，

      Accepted：06 August 2023，

      Published：0 June 2024

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  • Zhiyu DUAN, Shunkun YANG, Qi SHAO, et al. PEGA: probabilistic environmental gradient-driven genetic algorithm considering epigenetic traits to balance global and local optimizations[J]. Frontiers of Information Technology & Electronic Engineering, 2024, 25(6): 839-855. DOI： 10.1631/FITEE.2300170.

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