TSEMTA: A tripartite shared evolutionary multi-task algorithm for optimizing many-task vehicle routing problems DOI
Yanguang Cai, Yanlin Wu, Chuncheng Fang

и другие.

Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108179 - 108179

Опубликована: Март 1, 2024

Язык: Английский

Techno-economic impact analysis for renewable energy-based hydrogen storage integrated grid electric vehicle charging stations in different potential locations of Malaysia DOI Creative Commons
M.F. Roslan, Vigna K. Ramachandaramurthy, Muhamad Mansor

и другие.

Energy Strategy Reviews, Год журнала: 2024, Номер 54, С. 101478 - 101478

Опубликована: Июнь 29, 2024

This study investigates the techno-economic impacts analysis of renewable energy-based hybrid energy storage system integrated grid electric vehicles charging station (EVCS) in Malaysia. Focusing on three potential locations namely Pulau Pinang, Johor Bharu and Kuala Terengganu, research aims to address increasing electricity demand from expanding vehicle (EV) infrastructure while mitigating instability issues caused by sudden load surges, increased electrical losses, overload high voltage devices that leads power quality issues. Using HOMER Pro platform, models optimises an EVCS configuration-based incorporates sources (RES) such as photovoltaic (PV), wind turbines (WT), lithium-ion (Li-ion) batteries, hydrogen (H2) tank, fuel cell (FC) electrolysers considering various geographical meteorological conditions. The configuration offers a long-term solution, surpassing current batteries' capabilities providing stable supply for sustainable system. results demonstrated favourable outcomes, with total Net Present Cost (NPC) ranging $1.4 million $3.4 across all locations, Energy (COE) $0.03/kWh $0.16/kWh. These findings suggest optimization methodology is adaptable implementation diverse different innovation beneficial developing renewable-based infrastructures, which can support economic growth In addition, emphasizes necessity advanced control algorithms manage during peak suggests future field trials validate system's real-world performance. Additionally, optimized EVCS-based contributes reducing carbon dioxide (CO2) emissions, promoting cleaner environment eco-friendly ecosystem.

Язык: Английский

Процитировано

21

Designing a multi-period dynamic electric vehicle production-routing problem in a supply chain considering energy consumption DOI Open Access
Mostafa Hajiaghaei–Keshteli, Golman Rahmanifar, Mostafa Mohammadi

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 421, С. 138471 - 138471

Опубликована: Авг. 17, 2023

Язык: Английский

Процитировано

25

A lightweight genetic algorithm with variable neighborhood search for multi-depot vehicle routing problem with time windows DOI

Yukang Su,

Shuo Zhang, Chengning Zhang

и другие.

Applied Soft Computing, Год журнала: 2024, Номер 161, С. 111789 - 111789

Опубликована: Май 22, 2024

Язык: Английский

Процитировано

10

The home health care location-routing problem with a mixed fleet and battery swapping stations using a competitive simulated annealing algorithm DOI
Ziwei Dai,

Zhiyong Zhang,

Mingzhou Chen

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 228, С. 120374 - 120374

Опубликована: Май 10, 2023

Язык: Английский

Процитировано

21

A Sustainable Multi-Objective Model for Capacitated-Electric-Vehicle-Routing-Problem Considering Hard and Soft Time Windows as Well as Partial Recharging DOI Creative Commons

Amir Hossein Sheikh Azadi,

Mohammad Khalilzadeh, Jurgita Antuchevičienė

и другие.

Biomimetics, Год журнала: 2024, Номер 9(4), С. 242 - 242

Опубликована: Апрель 18, 2024

Due to the high pollution of transportation sector, nowadays role electric vehicles has been noticed more and by governments, organizations, environmentally friendly people. On other hand, problem vehicle routing (EVRP) widely studied in recent years. This paper deals with an extended version EVRP, which (EVs) deliver goods customers. The limited battery capacity EVs causes their operational domains be less than those gasoline vehicles. For this purpose, several charging stations are considered study for EVs. In addition, depending on domain, a full charge may not needed, reduces operation time. Therefore, partial recharging is also taken into account present research. formulated as multi-objective integer linear programming model, whose objective functions include economic, environmental, social aspects. Then, preemptive fuzzy goal method (PFGP) exploited exact solve small-sized problems. Also, two hybrid meta-heuristic algorithms inspired nature, including MOSA, MOGWO, MOPSO, NSGAII_TLBO, utilized large-sized results obtained from solving numerous test problems demonstrate that algorithm can provide efficient solutions terms quality non-dominated all performance was compared four indexes: time, MID, MOCV, HV. Moreover, statistical analysis performed investigate whether there significant difference between algorithms. indicate MOSA performs better time index. NSGA-II-TLBO outperforms HV indexes.

Язык: Английский

Процитировано

5

Scheduling Model and Algorithm for Transportation and Vehicle Charging of Multiple Autonomous Electric Vehicles DOI Creative Commons
Xiaoli Wang, Zhiyu Zhang, Mengmeng Jiang

и другие.

Mathematics, Год журнала: 2025, Номер 13(1), С. 145 - 145

Опубликована: Янв. 2, 2025

Autonomous electric vehicle (AEV) services leverage advanced autonomous driving and technologies to provide innovative, driverless transportation solutions. The biggest challenge faced by AEVs is the limited number of charging stations long times. A critical maximizing passenger travel satisfaction while reducing AEV idle time. This involves coordinating transport tasks via leveraging information from stations, transport, data. There are four important contributions in this paper. Firstly, we introduce an integrated scheduling model that considers both tasks. Secondly, propose a multi-level differentiated threshold strategy, which dynamically adjusts based on battery levels availability competition among vehicles minimizing waiting Thirdly, develop rapid strategy optimize selection combining geographic deviation distance. Fourthly, design new evolutionary algorithm solve proposed model, buffer space introduced promote diversity within population. Finally, experimental results show compared existing state-of-the-art algorithms, shortens running time algorithms 6.72% reduces 6.53%, proves effectiveness efficiency algorithm.

Язык: Английский

Процитировано

0

A review on challenges and future of green charging networks for zero emission electric transportation DOI Creative Commons
Ijaz Ahmed, Muhammad Maaruf, Amjad Ali

и другие.

Energy Conversion and Management X, Год журнала: 2025, Номер unknown, С. 100867 - 100867

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Multi-Objective Fresh Cold Chain Distribution Route Optimization Based on Improved NSGA-II DOI

伊杰 廖

E-Commerce Letters, Год журнала: 2025, Номер 14(01), С. 2452 - 2462

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Collaborative scheduling of handling equipment in automated container terminals with limited AGV-mates considering energy consumption DOI

Xurui Yang,

Hongtao Hu, Cheng Chen

и другие.

Advanced Engineering Informatics, Год журнала: 2025, Номер 65, С. 103133 - 103133

Опубликована: Фев. 3, 2025

Язык: Английский

Процитировано

0

The bi-objective mixed-fleet vehicle routing problem under decentralized collaboration and time-of-use prices DOI
Weixuan Shi,

Nengmin Wang,

Li Zhou

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 126875 - 126875

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0