Yuanhang Qi
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View article: Three-learning strategy particle swarm optimization for air-ground collaborative logistics transportation scheduling problem with pickup and delivery considering customer priorities
Three-learning strategy particle swarm optimization for air-ground collaborative logistics transportation scheduling problem with pickup and delivery considering customer priorities Open
Based on the air-ground collaborative logistics distribution model using UAVs and vehicles, this paper addresses the logistics scenario of delivering before picking up. Considering factors such as customer priority, vehicle cost, and UAV c…
View article: LSTM-Enhanced TD3 and Behavior Cloning for UAV Trajectory Tracking Control
LSTM-Enhanced TD3 and Behavior Cloning for UAV Trajectory Tracking Control Open
Unmanned aerial vehicles (UAVs) often face significant challenges in trajectory tracking within complex dynamic environments, where uncertainties, external disturbances, and nonlinear dynamics hinder accurate and stable control. To address…
View article: Model-Based Testing Platform for Coordinated Control of Electromagnetic Suspension, Guidance, and Eddy-Current Braking in High-Speed Maglev Trains
Model-Based Testing Platform for Coordinated Control of Electromagnetic Suspension, Guidance, and Eddy-Current Braking in High-Speed Maglev Trains Open
The Electromagnetic Suspension (EMS) high-speed maglev system, as a representative intelligent transportation system, employs intelligent electromagnetic attraction control to achieve stable levitation above the track, enabling contactless…
View article: Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm
Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm Open
With the advancement of unmanned aerial vehicle (UAV) technology, UAVs, such as multi-rotor drones, have found widespread application in wireless sensor networks. In scenarios where multiple UAVs collaborate to gather sensor data from the …
View article: Hydrogen production efficiency: A critical factor in integrated planning of distribution and transmission system for large-scale centralized offshore wind-hydrogen system
Hydrogen production efficiency: A critical factor in integrated planning of distribution and transmission system for large-scale centralized offshore wind-hydrogen system Open
Green hydrogen plays a pivotal role in decarbonizing our energy system and achieving the Net-Zero Emissions goal by 2050. Offshore wind farms (OWFs) dedicated to green hydrogen production are currently recognized as the most feasible solut…
View article: Mother–Daughter Vessel Operation and Maintenance Routing Optimization for Offshore Wind Farms Using Restructuring Particle Swarm Optimization
Mother–Daughter Vessel Operation and Maintenance Routing Optimization for Offshore Wind Farms Using Restructuring Particle Swarm Optimization Open
As the capacity of individual offshore wind turbines increases, prolonged downtime (due to maintenance or faults) will result in significant economic losses. This necessitates enhancing the efficiency of vessel operation and maintenance (O…
View article: A Grey Wolf Optimizer Algorithm for Multi-Objective Cumulative Capacitated Vehicle Routing Problem Considering Operation Time
A Grey Wolf Optimizer Algorithm for Multi-Objective Cumulative Capacitated Vehicle Routing Problem Considering Operation Time Open
In humanitarian aid scenarios, the model of cumulative capacitated vehicle routing problem can be used in vehicle scheduling, aiming at delivering materials to recipients as quickly as possible, thus minimizing their wait time. Traditional…
View article: Harnessing Federated Generative Learning for Green and Sustainable Internet of Things
Harnessing Federated Generative Learning for Green and Sustainable Internet of Things Open
The rapid proliferation of devices in the Internet of Things (IoT) has ushered in a transformative era of data-driven connectivity across various domains. However, this exponential growth has raised pressing concerns about environmental su…
View article: Semi-supervised Federated Learning for Digital Twin 6G-enabled IIoT: A Bayesian estimated approach
Semi-supervised Federated Learning for Digital Twin 6G-enabled IIoT: A Bayesian estimated approach Open
View article: Joint Planning of Distribution and Transmission System for Offshore Wind Farms Integrated with Hydrogen Production Platforms
Joint Planning of Distribution and Transmission System for Offshore Wind Farms Integrated with Hydrogen Production Platforms Open
View article: Adaptive Clustering Long Short-Term Memory Network for Short-Term Power Load Forecasting
Adaptive Clustering Long Short-Term Memory Network for Short-Term Power Load Forecasting Open
Short-term load forecasting (STLF) plays an important role in facilitating efficient and reliable operations of power systems and optimizing energy planning in the electricity market. To improve the accuracy of power load prediction, an ad…
View article: Hybrid Chaotic Discrete Bat Algorithm with Variable Neighborhood Search for Vehicle Routing Problem in Complex Supply Chain
Hybrid Chaotic Discrete Bat Algorithm with Variable Neighborhood Search for Vehicle Routing Problem in Complex Supply Chain Open
Driven by the supply chain, suppliers, manufacturers and warehouses are working more closely together for improving service quality. However, tremendous cost may incur in the supply chain if transportation is not planned properly and effic…
View article: An efficient data collection framework in the sky: An affine transformation approach based on Internet of unmanned aerial vehicles
An efficient data collection framework in the sky: An affine transformation approach based on Internet of unmanned aerial vehicles Open
Due to a large amount of time‐series data (e.g. precipitation, temperature, humidity) in the air, reliable and fast data collection is a challenging issue. Using an unmanned aerial vehicle (UAV) as a data collector to collect time‐series d…
View article: Cable Connection Optimization for Heterogeneous Offshore Wind Farms via a Voronoi Diagram Based Adaptive Particle Swarm Optimization with Local Search
Cable Connection Optimization for Heterogeneous Offshore Wind Farms via a Voronoi Diagram Based Adaptive Particle Swarm Optimization with Local Search Open
Offshore wind energy, as one of the featured rich renewable energy sources, is getting more and more attention. The cable connection layout has a significant impact on the economic performance of offshore wind farms. To make better use of …
View article: Simultaneous Optimisation of Cable Connection Schemes and Capacity for Offshore Wind Farms via a Modified Bat Algorithm
Simultaneous Optimisation of Cable Connection Schemes and Capacity for Offshore Wind Farms via a Modified Bat Algorithm Open
Offshore wind energy has attracted worldwide attention and investments in the last decade due to the stability and abundance of wind resources. As one of the main components of this, internal array cables have a great impact on the levelis…
View article: Power load clustering algorithm for demand response
Power load clustering algorithm for demand response Open
Satisfactory clustering of power load is an essential prerequisite for the effective implementation of demand response (DR) programs. Focusing on the inability of common clustering algorithms to specify the similarity degree between load p…
View article: Power load clustering algorithm for demand response
Power load clustering algorithm for demand response Open
Satisfactory clustering of power load is an essential prerequisite for the effective implementation of demand response (DR) programs. Focusing on the inability of common clustering algorithms to specify the similarity degree between load p…