Expert Systems with Applications, Год журнала: 2023, Номер 234, С. 120945 - 120945
Опубликована: Июль 12, 2023
Язык: Английский
Transportation Research Part B Methodological, Год журнала: 2023, Номер 168, С. 124 - 150
Опубликована: Янв. 4, 2023
Язык: Английский
Процитировано
59
Sustainable Cities and Society, Год журнала: 2023, Номер 98, С. 104791 - 104791
Опубликована: Июль 16, 2023
Язык: Английский
Процитировано
43
Transportation Research Part C Emerging Technologies, Год журнала: 2024, Номер 160, С. 104522 - 104522
Опубликована: Фев. 21, 2024
Язык: Английский
Процитировано
18
IEEE Access, Год журнала: 2024, Номер 12, С. 36974 - 36989
Опубликована: Янв. 1, 2024
The Vehicle Routing Problem with Time Windows (VRPTW) is paramount in elevating operational efficiency, driving cost reductions, and enhancing customer satisfaction. It a renowned challenge diverse real-world applications, where the core objective determining most efficient routes for fleet of vehicles. This research introduces cutting-edge Hybrid Genetic Algorithm-Solomon Insertion Heuristic (HGA-SIH) solution, reinforced by powerful Solomon constructive heuristic to solve VRPTW as an NP-hard problem. performance proposed HGA-SIH validated against Solomon's benchmark instances. results showcase outstanding HGA, achieving Best-Known Solutions (BKS) 11 instances BKS solutions one instance. Experimental findings validate that consistently delivers on par or surpasses those obtained several algorithms when evaluated based various solution quality metrics. excels efficiently managing number vehicles while minimizing travel distances, resulting slight deviations from remain within practical limits. highlights adaptability efficacy addressing wide range scenarios, thereby making substantial contributions logistics supply chain optimization.
Язык: Английский
Процитировано
16
IMA Journal of Management Mathematics, Год журнала: 2022, Номер 33(4), С. 549 - 561
Опубликована: Июнь 29, 2022
Abstract Aspiring green agendas in conjunction with tremendous economic pressures are resulting an increased attention to the environment and technological innovations for improving existing logistics systems. Last mile logistics, particular, becoming much more than a consumer convenience necessity transportation optimization exercise. Rather, this area presents true opportunity foster both financial environmental sustainability. This paper investigates recent advancements pending needs related business social innovations, emphasizing city concepts. We discuss various pertinent aspects, including drones, delivery robots, truck platooning, collection pickup points, collaborative integrated transportation, decarbonization advanced transport analytics. From mathematical perspective, we focus on basic features of vehicle routing problem some its variants. provide recommendations around strategies that may facilitate adoption new effective technologies innovations.
Язык: Английский
Процитировано
41
Journal of the Operational Research Society, Год журнала: 2023, Номер 75(3), С. 423 - 617
Опубликована: Дек. 27, 2023
Throughout its history, Operational Research has evolved to include methods, models and algorithms that have been applied a wide range of contexts. This encyclopedic article consists two main sections: methods applications. The first summarises the up-to-date knowledge provides an overview state-of-the-art key developments in various subdomains field. second offers wide-ranging list areas where applied. is meant be read nonlinear fashion used as point reference by diverse pool readers: academics, researchers, students, practitioners. entries within applications sections are presented alphabetical order. authors dedicate this paper 2023 Turkey/Syria earthquake victims. We sincerely hope advances OR will play role towards minimising pain suffering caused future catastrophes.
Язык: Английский
Процитировано
35
Expert Systems with Applications, Год журнала: 2024, Номер 249, С. 123472 - 123472
Опубликована: Фев. 19, 2024
Язык: Английский
Процитировано
8
Journal of the Operational Research Society, Год журнала: 2025, Номер unknown, С. 1 - 21
Опубликована: Янв. 4, 2025
Язык: Английский
Процитировано
1
Frontiers in Artificial Intelligence, Год журнала: 2025, Номер 8
Опубликована: Фев. 12, 2025
Modern technologies, particularly artificial intelligence, play a crucial role in improving medical waste management by developing intelligent systems that optimize the shortest routes for transport, from its generation to final disposal. Algorithms such as Q-learning and Deep Q Network enhance efficiency of transport disposal while reducing environmental pollution risks. In this study, intelligence algorithms were trained using Homogeneous agent with capacity 3 tons between hospitals within Closed Capacitated Vehicle Routing Problem framework. Integrating AI pathfinding techniques, especially hybrid A*-Deep approach, led advanced results despite initial challenges. K-means clustering was used divide into zones, allowing agents navigate paths Network. Analysis revealed agents’ not fully utilized. This application Fractional Knapsack dynamic programming maximize utilization achieving optimal routes. Since criteria compare algorithms’ effectiveness are number vehicles total vehicle capacity, it found DQN stands out requiring fewest (4), 0% loss metric matches value. Compared other require 5 or 7 vehicles, reduces fleet size 20 42.86%, respectively. Additionally, maximizes at 100%, unlike methods, which utilize only 33 66% capacity. However, improvement comes cost 9% increase distance, reflecting longer needed serve more per trip. Despite trade-off, algorithm’s ability minimize utilizing makes choice scenarios where these factors critical. approach improved performance but also enhanced sustainability, making most effective challenging solution among all study.
Язык: Английский
Процитировано
1
Computers & Operations Research, Год журнала: 2025, Номер unknown, С. 107016 - 107016
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
1