Evolutionary computation for intelligent transportation in smart cities: A survey
As the population in cities continues to increase, large-city problems, including traffic
congestion and environmental pollution, have become increasingly serious. The …
congestion and environmental pollution, have become increasingly serious. The …
Discretization-strategy-based solution for berth allocation and quay crane assignment problem
M Tang, B Ji, X Fang, SS Yu - Journal of Marine Science and …, 2022 - mdpi.com
The continuous berth allocation and quay crane assignment problem considers the size of
berths and ships, the number of quay cranes, the dynamic ships and non-crossing …
berths and ships, the number of quay cranes, the dynamic ships and non-crossing …
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 …
Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm
Electricity energy consumption (EEC) has great effect on the government to make
reasonable energy policy and has attracted great attentions of the power generation groups …
reasonable energy policy and has attracted great attentions of the power generation groups …
New hybrid genetic algorithms to solve dynamic berth allocation problem
ET Bacalhau, L Casacio, AT de Azevedo - Expert Systems with Applications, 2021 - Elsevier
Berth allocation problem (BAP) is concerned to assign ships to port terminal positions,
seeking to minimize the total service time and maximize the quay occupation. A dynamic …
seeking to minimize the total service time and maximize the quay occupation. A dynamic …
A prescriptive analytics approach to solve the continuous berth allocation and yard assignment problem using integrated carbon emissions policies
As industrialization continues, the world faces issues related to increased energy
consumption and massive carbon emissions. Given the growing complexity of maritime …
consumption and massive carbon emissions. Given the growing complexity of maritime …
Neural network assisted branch and bound algorithm for dynamic berth allocation problems
One of the key challenges in maritime operations at container terminals is the need to
improve or optimize berth operation schedules, thus allowing terminal operators to maximize …
improve or optimize berth operation schedules, thus allowing terminal operators to maximize …
Novel formulations and modeling enhancements for the dynamic berth allocation problem
This paper addresses the well-known dynamic berth allocation problem (DBAP), which finds
numerous applications at container terminals aiming to allocate and schedule incoming …
numerous applications at container terminals aiming to allocate and schedule incoming …
A survey on computational intelligence approaches for intelligent marine terminal operations
S Aslam, MP Michaelides… - IET Intelligent Transport …, 2024 - Wiley Online Library
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 …
(IMT) systems. Since the number of containers handled by MCTs has been increasing over …
[HTML][HTML] Interval differential evolution with dimension-reduction interval analysis method for uncertain optimization problems
C Fu, Y Liu, Z Xiao - Applied Mathematical Modelling, 2019 - Elsevier
A constrained nonlinear interval optimization method under the framework of differential
evolution algorithm is developed to solve the uncertain structural optimization problems with …
evolution algorithm is developed to solve the uncertain structural optimization problems with …