Your Location：
Home >
Browse articles >
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

      Enhanced Publication
    • 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

    • Published：0 June 2024，

      Received：10 March 2023，

      Accepted：2023-08-06

    Scan QR Code

  • 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.

  •  
  •  

0

Views

87

Downloads

0

CSCD

PlumX

>
Alert me when the article has been cited
Submit
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

No data

Related Author

No data

Related Institution

No data
0