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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 …
A multipopulation multiobjective ant colony system considering travel and prevention costs for vehicle routing in COVID-19-like epidemics
As transportation system plays a vastly important role in combatting newly-emerging and
severe epidemics like the coronavirus disease 2019 (COVID-19), the vehicle routing …
severe epidemics like the coronavirus disease 2019 (COVID-19), the vehicle routing …
A bi-objective knowledge transfer framework for evolutionary many-task optimization
Many-task problem (MaTOP) is a kind of challenging multitask optimization problem with
more than three tasks. Two significant issues in solving MaTOPs are measuring intertask …
more than three tasks. Two significant issues in solving MaTOPs are measuring intertask …
Evolutionary computation for unmanned aerial vehicle path planning: A survey
Unmanned aerial vehicle (UAV) path planning aims to find the optimal flight path from the
start point to the destination point for each aerial vehicle. With the rapid development of UAV …
start point to the destination point for each aerial vehicle. With the rapid development of UAV …
A survey on computational intelligence approaches for intelligent marine terminal operations
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 …
Many-Task Differential Evolutionary Algorithm Based on Bi-Space Similarity
Y Hou, Y Shen, H Han, J Wang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Many-task differential evolutionary algorithm is an effective way to optimize multiple tasks
simultaneously. The optimization performance of the algorithm decreases due to the …
simultaneously. The optimization performance of the algorithm decreases due to the …
Improved ant colony optimization for the operational aircraft maintenance routing problem with cruise speed control
Q Zhang, FTS Chan, X Fu - Journal of Advanced Transportation, 2023 - Wiley Online Library
The operational aircraft maintenance routing problem (OAMRP) plays a critical part in
producing considerable cost reductions for airlines, since its solution directly influences the …
producing considerable cost reductions for airlines, since its solution directly influences the …
Crowdsourcing Regional Coverage Balancing Method Based on Transfer Learning in Taxi Service
Y Yang, M Zhu, J Li, C Wang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
With the in-depth study of taxi services, mobile crowdsourcing has become an emerging
paradigm for solving location-based assignment tasks. However, only considering the task …
paradigm for solving location-based assignment tasks. However, only considering the task …
A multi-objective optimization study of berth scheduling considering shore side electricity supply
M Yue, Y Wang, S Guo, L Dai, H Hu - Ocean & Coastal Management, 2025 - Elsevier
The maritime supply chain plays a crucial role in global trade. However, increasing maritime
traffic exacerbates air pollution in port cities due to emissions from commonly used ship …
traffic exacerbates air pollution in port cities due to emissions from commonly used ship …
Optimal peaks detected-based differential evolution for multimodal optimization problems
Multimodal optimization problems (MMOPs) have multiple global optima, hence the
algorithm must preserve population diversity to locate multiple global optima and ensure the …
algorithm must preserve population diversity to locate multiple global optima and ensure the …