دورية أكاديمية
A survey on computational intelligence approaches for intelligent marine terminal operations
| العنوان: | A survey on computational intelligence approaches for intelligent marine terminal operations |
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| المؤلفون: | Sheraz Aslam, Michalis P. Michaelides, Herodotos Herodotou |
| المصدر: | IET Intelligent Transport Systems, Vol 18, Iss 5, Pp 755-793 (2024) |
| بيانات النشر: | Wiley, 2024. |
| سنة النشر: | 2024 |
| المجموعة: | LCC:Transportation engineering LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | intelligent transportation systems, optimization and uncertainty, Transportation engineering, TA1001-1280, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | Abstract Marine container terminals (MCTs) play a crucial role in intelligent maritime transportation (IMT) systems. Since the number of containers handled by MCTs has been increasing over the years, there is a need for developing effective and efficient approaches to enhance the productivity of IMT systems. The berth allocation problem (BAP) and the quay crane allocation problem (QCAP) are two well‐known optimization problems in seaside operations of MCTs. The primary aim is to minimize the vessel service cost and maximize the performance of MCTs by optimally allocating berths and quay cranes to arriving vessels subject to practical constraints. This study presents an in‐depth review of computational intelligence (CI) approaches developed to enhance the performance of MCTs. First, an introduction to MCTs and their key operations is presented, primarily focusing on seaside operations. A detailed overview of recent CI methods and solutions developed for the BAP is presented, considering various berthing layouts. Subsequently, a review of solutions related to the QCAP is presented. The datasets used in the current literature are also discussed, enabling future researchers to identify appropriate datasets to use in their work. Eventually, a detailed discussion is presented to highlight key opportunities along with foreseeable future challenges in the area. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1751-9578 1751-956X |
| Relation: | https://doaj.org/toc/1751-956X; https://doaj.org/toc/1751-9578 |
| DOI: | 10.1049/itr2.12469 |
| URL الوصول: | https://doaj.org/article/d04d24aa603c406b87b086674575b4b0 |
| رقم الأكسشن: | edsdoj.04d24aa603c406b87b086674575b4b0 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 17519578 1751956X |
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| DOI: | 10.1049/itr2.12469 |