Blockchain and AI technology convergence: Applications in transportation systems

Vehicular Communications, Год журнала: 2022, Номер 38, С. 100521 - 100521

Опубликована: Сен. 2, 2022

Язык: Английский

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Application of improved multi-objective particle swarm optimization algorithm to solve disruption for the two-stage vehicle routing problem with time windows

Expert Systems with Applications, Год журнала: 2023, Номер 225, С. 120009 - 120009

Опубликована: Апрель 5, 2023

Язык: Английский

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An ant colony optimization based on local search for the vehicle routing problem with simultaneous pickup–delivery and time window

Applied Soft Computing, Год журнала: 2023, Номер 139, С. 110203 - 110203

Опубликована: Март 27, 2023

Язык: Английский

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Machine Learning to Solve Vehicle Routing Problems: A Survey

IEEE Transactions on Intelligent Transportation Systems, Год журнала: 2024, Номер 25(6), С. 4754 - 4772

Опубликована: Янв. 2, 2024

This paper provides a systematic overview of machine learning methods applied to solve NP-hard Vehicle Routing Problems (VRPs). Recently, there has been great interest from both the and operations research communities in solving VRPs either through pure or by combining them with traditional handcrafted heuristics. We present taxonomy studies on paradigms, solution structures, underlying models, algorithms. Detailed results state-of-the-art are presented, demonstrating their competitiveness approaches. The survey highlights advantages learning-based models that aim exploit symmetry VRP solutions. outlines future directions incorporate solutions address challenges modern transportation systems.

Язык: Английский

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A clustering-based extended genetic algorithm for the multidepot vehicle routing problem with time windows and three-dimensional loading constraints

Applied Soft Computing, Год журнала: 2022, Номер 133, С. 109922 - 109922

Опубликована: Дек. 13, 2022

Язык: Английский

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A systematic review of vehicle routing problems and models in multi-echelon distribution networks

Supply Chain Analytics, Год журнала: 2024, Номер 7, С. 100072 - 100072

Опубликована: Июнь 18, 2024

The vehicle routing problem (VRP) is a combinatorial optimization that determines optimal routes to enhance distribution efficiency. One of the most popular strategies in freight multi-echelon distribution. Multi-echelon networks often apply supply chain management, land transportation, maritime industry, aviation, etc., and rely on VRP. This comprehensive review systematically analyses 382 papers retrieved through Scopus database. We use bibliometric network analysis tool complete systematic literature mapping identifying key interrelationships research clusters. depicts five main clusters: green logistics decision analysis, scheduling inventory optimization, VRP for city logistics, mathematical modeling outbound customer service, identified based author keywords derived paper pool. Each cluster provided with foundational knowledge, concepts, theories, employed techniques. Finally, future studies are suggested explore more investigation highly discussed domains like problems e-commerce, sustainable technological advancement-based applications.

Язык: Английский

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Compensation and profit allocation for collaborative multicenter vehicle routing problems with time windows

Expert Systems with Applications, Год журнала: 2023, Номер 233, С. 120988 - 120988

Опубликована: Июль 18, 2023

Язык: Английский

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Collaborative Reverse Logistics Network for Infectious Medical Waste Management during the COVID-19 Outbreak

International Journal of Environmental Research and Public Health, Год журнала: 2022, Номер 19(15), С. 9735 - 9735

Опубликована: Авг. 8, 2022

The development of COVID-19 in China has gradually become normalized; thus, the prevention and control pandemic encountered new problems: amount infectious medical waste (IMW) increased sharply; location outbreaks are highly unpredictable; occurs everywhere. Thus, it is vital to design an effective IMW reverse logistics network cope with these problems. This paper firstly introduces mobile processing centers (MPCs) into for resource-saving, quick response, sufficient capacity centers. Then, a multi-participant-based (public central hospitals, disposal institutions, providers, government) collaborative routing optimization model built from economic, environmental perspective. An augmented ε-constraint method developed solve this proposed model. Through case study Chongqing, found that uncertain outbreak situations, fixed (FPCs) MPCs can form better strategies. MPC expand flexibly response sudden increase IMW. results demonstrate good performance reduction cost infection risk, which could greatly support decision making management government control.

Язык: Английский

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A Bibliometric Visualized Analysis and Classification of Vehicle Routing Problem Research

Sustainability, Год журнала: 2023, Номер 15(9), С. 7394 - 7394

Опубликована: Апрель 29, 2023

The vehicle routing problem (VRP), as a classic combinatorial optimization problem, has always been hot research topic in operations research. In order to gain deeper understanding of the VRP this work uses knowledge graph comprehensively analyze and summarize literature related from 1959 2022 Web Science (WoS) database. Firstly, according basic statistical information literature, annual publications, authors, their institutions countries, keyword co-occurrence, co-citation network are analyzed generalize on predict its future development trend. results show that, past 60 years, there have abundant changes VRP. United States China made most important contributions field According WoS retrieval classification methods, models solutions classified, model solving algorithms divided into exact algorithms, heuristic metaheuristic hyper-heuristic machine learning, etc. that computing technology plays an role dynamic VRP, deep reinforcement directions optimization. can provide help guidance for beginners scholars outside industry understand hotspots

Язык: Английский

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A Hybrid Adaptive Simulated Annealing and Tempering Algorithm for Solving the Half-Open Multi-Depot Vehicle Routing Problem

Mathematics, Год журнала: 2024, Номер 12(7), С. 947 - 947

Опубликована: Март 22, 2024

The half-open multi-depot vehicle routing problem (HOMDVRP) is a typical decision optimization in the field of collaborative logistics that considers resource sharing. This study aims to develop an effective meta-heuristic algorithm for solving HOMDVRP. Firstly, mixed-integer programming model HOMDVRP established minimize total travel distance vehicles. After that, novel hybrid adaptive simulated annealing and tempering (HASATA) proposed based on features combines strengths large-neighborhood search balance algorithm’s searching capabilities both breadth depth. Meanwhile, Markov chain length mechanism are designed improve computational efficiency convergence ability. Finally, simulation experiments conducted verify effectiveness performance algorithm. Four comparison algorithms selected analyzed using 24 groups instances. results show HASATA can solve more efficiently obtain solution with better satisfactory stability.

Язык: Английский

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