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Applications of Intelligent Optimization Algorithms in Integrated Transportation Systems
This special issue belongs to the section “Evolutionary Algorithms and Machine Learning“.
Special Issue Information
Dear Colleagues,
Modern integrated transportation systems are characterized by their unprecedented scale, complexity, and dynamic nature. Effectively managing these systems to enhance their efficiency, sustainability, and resilience presents significant challenges that traditional operational research methods often struggle to address. The emergence of intelligent optimization algorithms (IOAs), including metaheuristics, machine learning-driven optimizers, and hybrid approaches, offers a powerful and innovative toolkit to tackle these complex, large-scale, and non-linear problems. This Special Issue aims to compile high-quality original research and commentary articles focusing on the theoretical innovations and practical applications of various intelligent optimization algorithms in various modes of transportation such as highways, railways, aviation, and maritime transportation. The contributions we seek should not only demonstrate algorithmic innovation, but also provide practical and feasible solutions to real-world problems.
Dr. Wenxin Li
Prof. Dr. Changxi Ma
Dr. Chao Wen
Dr. Weike Lu
Dr. Qingwei Zhong
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- intelligent prediction of multimodal freight volume
- multi modal transportation vehicle operation path planning
- public transportation and multimodal system optimization
- vehicle operation scheduling and intelligent control
- autonomous vehicles and advanced driver-assistance systems (ADAS)
- intelligent network vehicle trajectory prediction
- UAV swarm scheduling and control
- aircraft swarm management in high-density flight environments
- UAV path planning and conflict detection
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