Evolutionary computation for intelligent transportation in smart cities: A survey

ZG Chen, ZH Zhan, S Kwong… - IEEE Computational …, 2022 - ieeexplore.ieee.org
As the population in cities continues to increase, large-city problems, including traffic
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 …

Berth scheduling at marine container terminals: A universal island-based metaheuristic approach

M Kavoosi, MA Dulebenets, O Abioye… - Maritime Business …, 2019 - emerald.com
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 …

Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm

L Wang, H Hu, XY Ai, H Liu - Energy, 2018 - Elsevier
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 …

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 …

A prescriptive analytics approach to solve the continuous berth allocation and yard assignment problem using integrated carbon emissions policies

SK Jauhar, S Pratap, S Kamble, S Gupta… - Annals of Operations …, 2023 - Springer
As industrialization continues, the world faces issues related to increased energy
consumption and massive carbon emissions. Given the growing complexity of maritime …

Neural network assisted branch and bound algorithm for dynamic berth allocation problems

S Korekane, T Nishi, K Tierney, Z Liu - European Journal of Operational …, 2024 - Elsevier
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 …

Novel formulations and modeling enhancements for the dynamic berth allocation problem

A Kramer, E Lalla-Ruiz, M Iori, S Voß - European Journal of Operational …, 2019 - Elsevier
This paper addresses the well-known dynamic berth allocation problem (DBAP), which finds
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 …

[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 …