.png){kind=icon}
返回
High-Dimensional Waveform Inversion With Cooperative Coevolutionary Differential Evolution Algorithm
.png){kind=icon}
PRE
AI
DOI：10.1109/LGRS.2011.2166532.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this letter, an improved differential evolution (DE) for high-dimensional waveform inversion is proposed. In conventional evolutionary algorithms, an individual is treated as a whole, and all its variables (genes) are evaluated with a uniform fitness function. This evaluation criterion is not effective for a high-dimensional individual. Therefore, for high-dimensional waveform inversion, we incorporate the decomposition strategy of cooperative coevolution into DE to decompose the individual into some subcomponents. Another novel feature that we introduce is a local fitness function for each subcomponent, and a new mutation operator is designed to guide the mutation direction of each subcomponent with the corresponding local fitness value. Coevolution among different subcomponents is realized in the selection operation with the global fitness function. Many experiments have been carried out to evaluate the performance of this new algorithm. The results clearly show that, for high-dimensional waveform inversion, this algorithm is effective and performs better than some other methods. Finally, the new method has been applied to real seismic data.
Keyword:
Cooperative coevolution (CC)
differential evolution (DE)
high dimensional
local fitness
waveform inversion
期刊
IF:
16.4
论文数:
1.0W
被引数:
5.1K
机构
引用论文
On the Correlation Between Earthquakes and Prior Ionospheric Scintillations Over the Ocean: A Study Using GNSS-R Data Between 2017 and 2021关于地震与海洋上空先兆电离层闪烁之间的相关性：一项基于2017年至2021年GNSS-R数据的研究
OAAI
OAAI分享收藏Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization求解全局数值优化问题的策略自适应差分进化算法OAAI
OAAI分享收藏Transcranial direct current stimulation on prefrontal and parietal areas enhances motor imagery.png)
NeuroReport
NeuroReportIF0
PREAI
分享收藏分享收藏
查看更多内容