Delivery Route Scheduling of Heterogeneous Robotic System with Customers Satisfaction by Using Multi-Objective Artificial Bee Colony Algorithm DOI Creative Commons

Zhihuan Chen,

Shangxuan Hou,

Zuao Wang

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(10), P. 519 - 519

Published: Sept. 24, 2024

This study addresses the route scheduling problem for heterogeneous robotic delivery system (HRDS) that perform tasks in an urban environment. The HRDS comprises two distinct types of vehicles: unmanned ground vehicle (UGV), which is constrained by road networks, and aerial (UAV), capable traversing terrain but has limitations terms energy payload. formulated as optimal a network, where goal to find with minimum cost maximum customer satisfaction (CS) enabling UAV deliver packages customers. We propose new method based on improved artificial bee colony algorithm (ABC) non-dominated sorting genetic II (NSGA-II) provides route. effectiveness superiority we proposed are demonstrated comparison simulations. Moreover, physical experiments further validate practicality model method.

Language: Английский

Deep Learning-Assisted Measurement of Liquid Sheet Structure in the Atomization of Hydraulic Nozzle Spraying DOI Creative Commons
Wenlong Yan, Longlong Li,

Jianli Song

et al.

Agronomy, Journal Year: 2025, Volume and Issue: 15(2), P. 409 - 409

Published: Feb. 6, 2025

The structural parameters of the liquid sheet represent a significant factor influencing atomization performance, and its measurement is an important part agrochemical study. Currently, predominantly relies on commercial software with manual operation, which labor intensive inefficient. In this study, deep learning methods high-speed photographing were employed to measure hydraulic nozzles different modes. LM-YOLO structure recognition model was constructed recognize perforations. Based results, method designed calculate several key parameters, including breakup length, area, spray angle, average number perforations, perforation area. A comparative scrutiny assorted under experimental conditions also implemented. model, accuracy 81.0% for LU nozzle (a classical high integrity) 71.3% IDK (an air-induced certain amount bubbles in sheet) achieved. measured based results. It found that pressure has impact film. For LU120-03 nozzle, length film decreases from 48.96 mm 39.05 as increases. contrast, IDK120-03 exhibits fluctuating changes, peak value 29.65 occurring at 250 kPa. After adding silicone adjuvant, area generally decrease. variation trends are consistent data previous relevant research by other scholars. This study provides new measuring out sheet, it potential application related fields.

Language: Английский

Citations

0
A Comprehensive Study on Operational Parameters Optimization of Quadcopter Unmanned Aerial Vehicle-Based Spraying System in Sugarcane DOI

N. R. Gatkal,

S. M. Nalawade,

Mohini S. Shelke

et al.

Sugar Tech, Journal Year: 2025, Volume and Issue: unknown

Published: April 18, 2025

Language: Английский

Citations

0
Flying foxes optimization with reinforcement learning for vehicle detection in UAV imagery DOI Creative Commons
Naif Almakayeel

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 4, 2024

Language: Английский

Citations

1
A stacking ensemble model for predicting the flexural fatigue life of fiber-reinforced concrete DOI

Wan-lin Min,

Weiliang Jin,

Yen-yi Hoo

et al.

International Journal of Fatigue, Journal Year: 2024, Volume and Issue: 190, P. 108599 - 108599

Published: Sept. 12, 2024

Language: Английский

Citations

1
Unmanned aerial vehicle (UAV) based measurements DOI
Mozhdeh Shahbazi

Measurement, Journal Year: 2024, Volume and Issue: 239, P. 115340 - 115340

Published: July 17, 2024

Language: Английский

Citations

0
Delivery Route Scheduling of Heterogeneous Robotic System with Customers Satisfaction by Using Multi-Objective Artificial Bee Colony Algorithm DOI Creative Commons

Zhihuan Chen,

Shangxuan Hou,

Zuao Wang

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(10), P. 519 - 519

Published: Sept. 24, 2024

This study addresses the route scheduling problem for heterogeneous robotic delivery system (HRDS) that perform tasks in an urban environment. The HRDS comprises two distinct types of vehicles: unmanned ground vehicle (UGV), which is constrained by road networks, and aerial (UAV), capable traversing terrain but has limitations terms energy payload. formulated as optimal a network, where goal to find with minimum cost maximum customer satisfaction (CS) enabling UAV deliver packages customers. We propose new method based on improved artificial bee colony algorithm (ABC) non-dominated sorting genetic II (NSGA-II) provides route. effectiveness superiority we proposed are demonstrated comparison simulations. Moreover, physical experiments further validate practicality model method.

Language: Английский

Citations

0