Collaboration of vessel speed optimization with berth allocation and quay crane assignment considering vessel service differentiation
J Yu, G Tang, X Song - Transportation Research Part E: Logistics and …, 2022 - Elsevier
Green shipping and efficient information sharing deepen the collaboration between shipping
companies and ports, enabling vessel speed optimization (VSO) to be integrated with the …
companies and ports, enabling vessel speed optimization (VSO) to be integrated with the …
Deep convolutional neural network architecture design as a bi-level optimization problem
During the last decade, deep neural networks have shown a great performance in many
machine learning tasks such as classification and clustering. One of the most successful …
machine learning tasks such as classification and clustering. One of the most successful …
Multiobjective bilevel optimization: A survey of the state-of-the-art
JA Mejía-De-Dios, A Rodríguez-Molina… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Optimization makes processes, systems, or products more efficient, reliable, and with better
outcomes. A popular topic on optimization today is multiobjective bilevel optimization …
outcomes. A popular topic on optimization today is multiobjective bilevel optimization …
Deep learning and case-based reasoning for predictive and adaptive traffic emergency management
An efficient traffic signal control system (TSCS) should not only be reactive to the current
traffic but also be predictive by anticipating future traffic disturbances. In this study, we …
traffic but also be predictive by anticipating future traffic disturbances. In this study, we …
An efficient evolutionary algorithm based on deep reinforcement learning for large-scale sparse multiobjective optimization
M Gao, X Feng, H Yu, X Li - Applied Intelligence, 2023 - Springer
Large-scale sparse multiobjective optimization problems (SMOPs) widely exist in academic
research and engineering applications. The curse of dimensionality and the fact that most …
research and engineering applications. The curse of dimensionality and the fact that most …
Joint design and compression of convolutional neural networks as a bi-level optimization problem
Over the last decade, deep neural networks have shown great success in the fields of
machine learning and computer vision. Currently, the CNN (convolutional neural network) is …
machine learning and computer vision. Currently, the CNN (convolutional neural network) is …
Discretization-based feature selection as a bilevel optimization problem
Discretization-based feature selection (DBFS) approaches have shown interesting results
when using several metaheuristic algorithms, such as particle swarm optimization (PSO) …
when using several metaheuristic algorithms, such as particle swarm optimization (PSO) …
Cooperative multi-population Harris Hawks optimization for many-objective optimization
This paper presents an efficient cooperative multi-populations swarm intelligence algorithm
based on the Harris Hawks optimization (HHO) algorithm, named CMPMO-HHO, to solve …
based on the Harris Hawks optimization (HHO) algorithm, named CMPMO-HHO, to solve …
Evolutionary optimization of convolutional neural network architecture design for thoracic x-ray image classification
Chest X-Ray images are among the most used tools in medical diagnosis of various hearts
and lung abnormalities and infections that could cause pneumonia, severe acute respiratory …
and lung abnormalities and infections that could cause pneumonia, severe acute respiratory …
A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search
W Wang, HL Liu, H Shi - Connection Science, 2022 - Taylor & Francis
In multi-objective bilevel optimisation problems, the upper-level performance of different
lower-level optimal solutions may be very different, even though they belong to the same …
lower-level optimal solutions may be very different, even though they belong to the same …