Path-Planning Strategy: Adaptive Ant Colony Optimization Combined with an Enhanced Dynamic Window Approach
D Shan, S Zhang, X Wang, P Zhang - Electronics, 2024 - mdpi.com
Aiming to resolve the problems of slow convergence speed and inability to plan in real time
when ant colony optimization (ACO) performs global path planning, we propose a path …
when ant colony optimization (ACO) performs global path planning, we propose a path …
Design of exoskeleton brain-like intelligent trajectory prediction model based on echo state network
W Wang, C Wang, X Yuan, S **e, J Liu - Robotics and Autonomous …, 2025 - Elsevier
Abstracts Traditional rehabilitation training methods face significant challenges, such as low
repeatability and a shortage of skilled physicians. Exoskeleton robots have been recognized …
repeatability and a shortage of skilled physicians. Exoskeleton robots have been recognized …
[PDF][PDF] 极端灾害下考虑动态重构的微网形成策略
张瑞曦, 徐青山, 程煜, 宋菁 - 电力工程技术, 2022 - epjournal.csee.org.cn
随着极端自然灾害的日益频繁, 为了充分发挥燃气轮机, 燃料电池等可控分布式电源(DG)
在极端情况下的支撑作用, 文中提出了一种极端灾害下考虑动态重构的微网形成策略 …
在极端情况下的支撑作用, 文中提出了一种极端灾害下考虑动态重构的微网形成策略 …
Stacked Transformer Models for Enhanced Wind Speed Prediction in the Red Sea
Accurate wind speed (WS) prediction in the Red Sea is essential for enhancing maritime
operations, climate analysis, and monitoring ecosystems. Due to the region's complex …
operations, climate analysis, and monitoring ecosystems. Due to the region's complex …
Visual Tracking Using Sparse Coding and Earth Mover's Distance
An efficient iterative Earth Mover's Distance (iEMD) algorithm for visual tracking is proposed
in this paper. The Earth Mover's Distance (EMD) is used as the similarity measure to search …
in this paper. The Earth Mover's Distance (EMD) is used as the similarity measure to search …
最优传输理论在图像处理中的应用
马丽涛, 边伟 - 运筹学学报, 2019 - ort.shu.edu.cn
The optimal transport problem which has attracted wide attentions in many fields in recent
years, is a special kind of optimization problem discussed in the probabilistic measure …
years, is a special kind of optimization problem discussed in the probabilistic measure …