5 papers
Decision Variable Analysis-Guided Differentiated Fuzzy Search for Large-Scale Multi-Objective Optimization
Boxi Xiao, Hui Bai, Jinhua Zheng +2
Large-scale multi-objective optimization problems (LSMOPs) are challenging due to their high-dimensional decision spaces. Fuzzy search is an effective technique for improving searc…
An Evolutionary Network Architecture Search Framework with Adaptive Multimodal Fusion for Hand Gesture Recognition
Yizhang Xia, Shihao Song, Zhanglu Hou +4
Hand gesture recognition (HGR) based on multimodal data has attracted considerable attention owing to its great potential in applications. Various manually designed multimodal deep…
Multiple Population Alternate Evolution Neural Architecture Search
Juan Zou, Han Chu, Yizhang Xia +3
The effectiveness of Evolutionary Neural Architecture Search (ENAS) is influenced by the design of the search space. Nevertheless, common methods including the global search space,…
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth
Juan Zou, Weiwei Jiang, Yizhang Xia +2
The evolutionary paradigm has been successfully applied to neural network search(NAS) in recent years. Due to the vast search complexity of the global space, current research mainl…
Combining Kernelized Autoencoding and Centroid Prediction for Dynamic Multi-objective Optimization
Zhanglu Hou, Juan Zou, Gan Ruan +2
Evolutionary algorithms face significant challenges when dealing with dynamic multi-objective optimization because Pareto optimal solutions and/or Pareto optimal fronts change. Thi…