Zobrazeno 1 - 10
of 2 582
pro vyhledávání: '"berth"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7435-7450 (2024)
Abstract This paper presents a chaotic optimal thermodynamic evolutionary algorithm (COTEA) designed to address the integrated scheduling problems of berth allocation, ship unloader scheduling, and yard allocation at bulk cargo terminals. Our propose
Externí odkaz:
https://doaj.org/article/c65ea73a599d4cc6a9065f8215ffe11a
Publikováno v:
Misan Journal of Engineering Sciences, Vol 3, Iss 1, Pp 121-133 (2024)
Container berths, which are an essential component of the marine wharf, are exposed to loads from various sources, such as self-weight, operation loads and the environment loads, but the ship load is considered to have the greatest impact on the stru
Externí odkaz:
https://doaj.org/article/b46b3a6d17f049789dd75a79f574539c
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-20 (2024)
Abstract The multi-quay berth allocation problem (MQBAP) is an important problem in the planning of seaside operations (POSO) to find the best berthing solution for all the vessels. In this paper, an efficient method based on equilibrium optimizer (E
Externí odkaz:
https://doaj.org/article/ce50a990f29241b5b3854b67c416267a
Publikováno v:
Journal of International Maritime Safety, Environmental Affairs, and Shipping, Vol 8, Iss 4 (2024)
Maritime transportation plays a crucial role in global trade, as evidenced by the vast amount of containerized cargo transported between ports. In the realm of containerized maritime transport, an increasingly critical challenge lies in the efficient
Externí odkaz:
https://doaj.org/article/08931a26b4ee460181f137f435255985
Publikováno v:
Iraqi Journal for Computer Science and Mathematics, Vol 5, Iss 3 (2024)
Berth Allocation Problem (BAP) is a renowned difficult combinatorial optimization problem that plays a crucial role in maritime transportation systems. BAP is categorized as non-deterministic polynomial-time hard (NP-hard) problems, that is very toug
Externí odkaz:
https://doaj.org/article/cb365e1c0bd04a54bc33c27309424e27
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
In maritime logistics optimization, considerable research efforts are focused on the extraction of deep behavioral characteristics from comprehensive shipping data to discern patterns in maritime vessel behavior. The effective linkage of these charac
Externí odkaz:
https://doaj.org/article/9188deb31cc946bdb741b120fae7475a
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1541 (2024)
Influenced by the dynamics of supply and demand, the demand for maritime transport has been increasing annually, putting significant pressure on container ports. To alleviate this pressure, a new mixed-integer programming model for the integrated sch
Externí odkaz:
https://doaj.org/article/c017a27e73f24bba96daf3a12419cf3e
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1567 (2024)
The significant increase in international seaborne trade volumes over the last several years is pushing port operators to improve the efficiency of terminal processes and reduce vessel turnaround time. Toward this direction, this study investigates a
Externí odkaz:
https://doaj.org/article/5e3de08465d44ac691ed3ced9a3facc4
Publikováno v:
Buildings, Vol 14, Iss 8, p 2366 (2024)
Vietnam’s seaport system currently includes 298 ports with 588 wharves (a total length of approximately 92,275 m), which is vital in developing Vietnam’s marine economy. The piled pier, a type of wharf structure, is widely used and accounts for u
Externí odkaz:
https://doaj.org/article/abad940a3021455eab4fc03fb45f8784
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6514 (2024)
Efficient coordinated scheduling has long been a focal point in port research, complicated by the diverse optimization goals dictated by different port characteristics. This study focuses on Yangtze River ports, exploring coordinated scheduling amids
Externí odkaz:
https://doaj.org/article/3e481f3f86b344d4861107ea3b76671f