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 …
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 …
Operations Research (OR) analytics play a crucial role in optimizing decision-making processes for real-world problems. The assignment problem, with applications in supply …
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 …
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 …
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 …
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 …
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 …
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 …