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

и другие.

Drones, Год журнала: 2024, Номер 8(10), С. 519 - 519

Опубликована: Сен. 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.

Язык: Английский

EABC-AS: Elite-driven artificial bee colony algorithm with adaptive population scaling DOI
R. Lin, Zesong Xu,

Liyang Yu

и другие.

Swarm and Evolutionary Computation, Год журнала: 2025, Номер 94, С. 101893 - 101893

Опубликована: Март 4, 2025

Язык: Английский

Процитировано

0
A distance determination wolf pack algorithm for solving high-dimensional complex functions and its application DOI
Yi‐Hsiang Lai, Husheng Wu, Qiang Peng

и другие.

The Journal of Supercomputing, Год журнала: 2025, Номер 81(8)

Опубликована: Май 16, 2025

Язык: Английский

Процитировано

0
An Effective Analysis of New Meta Heuristic Algorithms and Its Performance Comparison DOI

Bijayalaxmi Panda,

Chhabi Rani Panigrahi,

Bibudhendu Pati

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Drones, Год журнала: 2024, Номер 8(10), С. 519 - 519

Опубликована: Сен. 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.

Язык: Английский

Процитировано

0