GitHub

A novel granular ball computing-based fuzzy rough set for feature selection in label distribution learning

This repository contains the implementation of the granular ball-based feature selection algorithm for multi-label learning, as described in the research paper published in Knowledge-Based Stems. Note ...
IEEE

LLM-Driven Evolutionary Algorithm Selection: Bidirectional Framework and Sampling Paradigm

Abstract: Evolutionary algorithms (EAs) exhibit diverse performance across different optimization problems, making the automated selection of the most suitable EA an important yet challenging task.
GitHub

Block-wise Adaptive Caching for Diffusion Policy

BAC (Block-wise Adaptive Caching) is a novel acceleration technique designed specifically for Transformer-based Diffusion Policies in robotic manipulation tasks. Our method achieves significant ...
IEEE

A Dynamic Interval Multiobjective Evolutionary Algorithm Based on Multitask Learning and Inverse Mapping

Abstract: Dynamic interval multiobjective optimization problems, such as those encountered in wireless sensor network scheduling and portfolio selection, are increasingly prevalent. However, they ...
Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

1 China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China 2 Biosensor National Special Laboratory Department of Biomedical Engineering, Zhejiang University, Hangzhou, China Introduction: Individual ...