Berth allocation and quay crane assignment/scheduling problem under uncertainty: A survey

F Rodrigues, A Agra - European Journal of Operational Research, 2022 - Elsevier
Port terminals play a critical role in the context of world trade since they are the main nodes
responsible for connecting sea and land transportation. There are several optimization …

Blockchain and AI technology convergence: Applications in transportation systems

P Singh, Z Elmi, Y Lau, M Borowska-Stefańska… - Vehicular …, 2022 - Elsevier
The blockchain and artificial intelligence (AI) have been the focal point of innovations and
received increasing attention of the community over the last years. The blockchain …

A Diffused Memetic Optimizer for reactive berth allocation and scheduling at marine container terminals in response to disruptions

MA Dulebenets - Swarm and Evolutionary Computation, 2023 - Elsevier
The economic development of numerous countries is defined by maritime supply chains to a
great extent. Substantial volumes of containerized cargoes delivered by ships are handled …

An efficient adaptive large neighborhood search algorithm based on heuristics and reformulations for the generalized quadratic assignment problem

AM Fathollahi-Fard, KY Wong, M Aljuaid - Engineering Applications of …, 2023 - Elsevier
Operations Research (OR) analytics play a crucial role in optimizing decision-making
processes for real-world problems. The assignment problem, with applications in supply …

[HTML][HTML] Internet of Things for sustainable railway transportation: Past, present, and future

P Singh, Z Elmi, VK Meriga, J Pasha… - Cleaner Logistics and …, 2022 - Elsevier
Abstract The Internet of Things (IoT) symbolizes numerous devices which are connected
globally through the internet technology and are able to collect and share relevant data. The …

[HTML][HTML] MFO-SFR: An enhanced moth-flame optimization algorithm using an effective stagnation finding and replacing strategy

MH Nadimi-Shahraki, H Zamani, A Fatahi, S Mirjalili - Mathematics, 2023 - mdpi.com
Moth-flame optimization (MFO) is a prominent problem solver with a simple structure that is
widely used to solve different optimization problems. However, MFO and its variants …

Integrated berth and yard space allocation under uncertainty

L Zhen, D Zhuge, S Wang, K Wang - Transportation Research Part B …, 2022 - Elsevier
Improving container ports' operational efficiency to reduce the delays at ports concerns
global port operators significantly. Optimizing the tactical level allocation of quay side and …

Truck scheduling optimization at a cold-chain cross-docking terminal with product perishability considerations

O Theophilus, MA Dulebenets, J Pasha, Y Lau… - Computers & Industrial …, 2021 - Elsevier
An efficient product distribution is critical for proper supply chain operations. Many supply
chains handle perishable products that decay over time. Due to mismanagement of supply …

An optimization model and solution algorithms for the vehicle routing problem with a “factory-in-a-box”

J Pasha, MA Dulebenets, M Kavoosi, OF Abioye… - Ieee …, 2020 - ieeexplore.ieee.org
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 …

Problem feature based meta-heuristics with Q-learning for solving urban traffic light scheduling problems

L Wang, K Gao, Z Lin, W Huang, PN Suganthan - Applied Soft Computing, 2023 - Elsevier
An urban traffic light scheduling problem (UTLSP) is studied by using problem feature based
meta-heuristics with Q-learning. The goal is to minimize the network-wise total delay time …