Expensive constraint multimodal optimization problems (ECMMOPs) have such characteristics as expensive objectives and constraints, and multiple optimal modalities simultaneously, which pose severe …
In traditional data stream mining, classification models are typically trained on labeled samples from a single source. However, in real-world scenarios, obtaining accurate labels is very hard and …
With the increase of the number of features and the sample size, existing feature selection (FS) methods based on evolutionary optimization still face challenges such as the “curse of dimensional…
There are lots of many-objective optimization problems (MaOPs) in real-world applications, which often have many decision variables. Although a variety of methods have been proposed to solve MaOPs,…
A high-sensitivity low-frequency fiber-optic Fabry-Perot (F-P) acoustic sensing scheme was proposed based on optical cross-correlation (OCC). The finite element method (FEM) is used to analyze the …
We propose and demonstrate a six-hole tapered silicon photonic crystal nanobeam cavity with a theoretical high quality ( Q ) factor and an ultrasmall mode volume based on machine learning. The cruc…
We propose and demonstrate a six-hole tapered silicon photonic crystal nanobeam cavity with a theoretical high quality ( Q ) factor and an ultrasmall mode volume based on machine learning. The cruc…
The integration of a directly modulated laser with a spot-size-converter can greatly reduce packaging requirements thereby reducing costs and promoting applications of these devices. However, most …
In this paper, we establish and experimentally verify a water-to-air (W2A) visible light communication (VLC) system through dynamic air-water interface. Considering the complexity of waves in real …
Band selection (BS) is a widely used dimensionality reduction technique for hyperspectral images. However, most of existing evolutionary algorithms focus on searching a globally optimal band subset…