Nature-inspired optimization algorithms for text document clustering—a comprehensive analysis
Text clustering is one of the efficient unsupervised learning techniques used to partition a
huge number of text documents into a subset of clusters. In which, each cluster contains …
huge number of text documents into a subset of clusters. In which, each cluster contains …
Berth allocation and scheduling at marine container terminals: A state-of-the-art review of solution approaches and relevant scheduling attributes
Marine container terminals play a significant role for international trade networks and global
market. To cope with the rapid and steady growth of the seaborne trade market, marine …
market. To cope with the rapid and steady growth of the seaborne trade market, marine …
An optimization model and solution algorithms for the vehicle routing problem with a “factory-in-a-box”
The “factory-in-a-box” concept involves assembling production modules (ie, factories) in
containers and transporting the containers to different customer locations. Such a concept …
containers and transporting the containers to different customer locations. Such a concept …
An augmented self-adaptive parameter control in evolutionary computation: A case study for the berth scheduling problem
The demand for international seaborne trade has substantially increased over the last three
decades and is predicted to continue increasing during the upcoming years. A marine …
decades and is predicted to continue increasing during the upcoming years. A marine …
Berth scheduling at marine container terminals: A universal island-based metaheuristic approach
Purpose Marine transportation has been faced with an increasing demand for containerized
cargo during the past decade. Marine container terminals (MCTs), as the facilities for …
cargo during the past decade. Marine container terminals (MCTs), as the facilities for …
Exact and heuristic solution algorithms for efficient emergency evacuation in areas with vulnerable populations
Proper emergency evacuation planning is a key to ensure safety and efficiency of
transportation networks in the event of approaching natural hazards. A sound evacuation …
transportation networks in the event of approaching natural hazards. A sound evacuation …
Sustainable Traffic Management for Smart Cities Using Internet-of-Things-Oriented Intelligent Transportation Systems (ITS): Challenges and Recommendations
The emergence of smart cities has addressed many critical challenges associated with
conventional urbanization worldwide. However, sustainable traffic management in smart …
conventional urbanization worldwide. However, sustainable traffic management in smart …
An adaptive island evolutionary algorithm for the berth scheduling problem
MA Dulebenets - Memetic Computing, 2020 - Springer
Increasing volumes of the seaborne containerized trade put additional pressure on marine
container terminal operators. Long congestion periods have been reported at certain marine …
container terminal operators. Long congestion periods have been reported at certain marine …
P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k− barriers for intrusion detection
Drastic advancement in computing technology and the dramatic increase in the usage of
explainable machine learning algorithms provide a promising platform for developing robust …
explainable machine learning algorithms provide a promising platform for developing robust …
The berth assignment and allocation problem considering cooperative liner carriers
L Guo, J Zheng, H Du, J Du, Z Zhu - Transportation Research Part E …, 2022 - Elsevier
This paper investigates a novel extension of the berth allocation problem (BAP), which
mainly determines berths and times for arriving vessels. Most previous studies on the BAP …
mainly determines berths and times for arriving vessels. Most previous studies on the BAP …