Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management
Importance: This bibliometric analysis of the application of metaheuristics in transportation and logistics examines over two decades of research (1999–present), aiming to uncover global trends, anticipate future directions, and highlight how interconnections between key factors facilitate the devel...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Infrastructures |
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| Online Access: | https://www.mdpi.com/2412-3811/10/1/4 |
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| author | Álvaro Bueno-Ferrer Jaime De Pablo Valenciano Jerónimo De Burgos Jiménez |
| author_facet | Álvaro Bueno-Ferrer Jaime De Pablo Valenciano Jerónimo De Burgos Jiménez |
| author_sort | Álvaro Bueno-Ferrer |
| collection | DOAJ |
| description | Importance: This bibliometric analysis of the application of metaheuristics in transportation and logistics examines over two decades of research (1999–present), aiming to uncover global trends, anticipate future directions, and highlight how interconnections between key factors facilitate the development of practical and sustainable solutions for the industry. Methodology: A quantitative approach is employed to analyze the evolution of the discipline by reviewing an extensive database of relevant research and key authors and utilizing advanced data processing tools. This analysis enables the assessment of advances in the optimization of metaheuristic models, with an impact on time and cost savings from an economically sustainable perspective. Results: The use of metaheuristics optimizes the efficiency and competitiveness of the transportation sector while promoting a positive economic impact on companies. The main areas of application are optimization and metaheuristic methods, cost and operational efficiency, planning and scheduling, logistics and transportation, supply chain and logistics networks, energy and sustainability, and demand and users. Additionally, genetic algorithms stand out as particularly important. Conclusions: This research provides a comprehensive and detailed view of the impact of metaheuristics on the transportation sector, highlighting their current and future trends (such as artificial intelligence) and their economic relevance. |
| format | Article |
| id | doaj-art-1c4025a73173444ea4fb25dd9de36c7f |
| institution | Kabale University |
| issn | 2412-3811 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Infrastructures |
| spelling | doaj-art-1c4025a73173444ea4fb25dd9de36c7f2025-01-24T13:35:22ZengMDPI AGInfrastructures2412-38112024-12-01101410.3390/infrastructures10010004Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent ManagementÁlvaro Bueno-Ferrer0Jaime De Pablo Valenciano1Jerónimo De Burgos Jiménez2Department of Economics and Business, University of Almeria, 04120 Almería, SpainDepartment of Economics and Business, University of Almeria, 04120 Almería, SpainDepartment of Economics and Business, University of Almeria, 04120 Almería, SpainImportance: This bibliometric analysis of the application of metaheuristics in transportation and logistics examines over two decades of research (1999–present), aiming to uncover global trends, anticipate future directions, and highlight how interconnections between key factors facilitate the development of practical and sustainable solutions for the industry. Methodology: A quantitative approach is employed to analyze the evolution of the discipline by reviewing an extensive database of relevant research and key authors and utilizing advanced data processing tools. This analysis enables the assessment of advances in the optimization of metaheuristic models, with an impact on time and cost savings from an economically sustainable perspective. Results: The use of metaheuristics optimizes the efficiency and competitiveness of the transportation sector while promoting a positive economic impact on companies. The main areas of application are optimization and metaheuristic methods, cost and operational efficiency, planning and scheduling, logistics and transportation, supply chain and logistics networks, energy and sustainability, and demand and users. Additionally, genetic algorithms stand out as particularly important. Conclusions: This research provides a comprehensive and detailed view of the impact of metaheuristics on the transportation sector, highlighting their current and future trends (such as artificial intelligence) and their economic relevance.https://www.mdpi.com/2412-3811/10/1/4metaheuristicstransportationeconomyefficiencysustainabilitylogistics |
| spellingShingle | Álvaro Bueno-Ferrer Jaime De Pablo Valenciano Jerónimo De Burgos Jiménez Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management Infrastructures metaheuristics transportation economy efficiency sustainability logistics |
| title | Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management |
| title_full | Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management |
| title_fullStr | Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management |
| title_full_unstemmed | Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management |
| title_short | Unveiling the Potential of Metaheuristics in Transportation: A Path Towards Efficiency, Optimization, and Intelligent Management |
| title_sort | unveiling the potential of metaheuristics in transportation a path towards efficiency optimization and intelligent management |
| topic | metaheuristics transportation economy efficiency sustainability logistics |
| url | https://www.mdpi.com/2412-3811/10/1/4 |
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