[HTML][HTML] Ship Global Traveling Path Optimization via a Novel Non-Dominated Sorting Genetic Algorithm

S Zhao, S Zhao - Journal of Marine Science and Engineering, 2024 - mdpi.com
Due to the intensification of economic globalization and the impact of global warming, the
development of methods to reduce shipping costs and reduce carbon emissions has …

Large-Scale Multi-Agent Learning-Based Cloud-Edge Collaborative Distributed PV Data Compression and Information Aggregation for Multimodal Network in Power …

J Feng, B Huang, X Zhou, X Jin - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To ensure the large-scale integration of distributed photovoltaic (PV) into power system, it is
imperative to collect and aggregate real-time operational data. However, the substantial …

Path planning for outdoor mobile robots based on IDDQN (October 2023)

S Jiang, S Sun, C Li - IEEE Access, 2024 - ieeexplore.ieee.org
Path planning is one of the research hotspots for outdoor mobile robots. This paper
addresses the issues of slow convergence and low accuracy in the Double Deep Q Network …

RadDQN: a Deep Q Learning-based Architecture for Finding Time-efficient Minimum Radiation Exposure Pathway

B Sadhu, T Sadhu, S Anand - arXiv preprint arXiv:2402.00468, 2024 - arxiv.org
Recent advancements in deep reinforcement learning (DRL) techniques have sparked its
multifaceted applications in the automation sector. Managing complex decision-making …

Ship collision avoidance decision-making research in coastal waters considering uncertainty of target ships

J Gao, Y Zhang - Brodogradnja: An International Journal of Naval …, 2024 - hrcak.srce.hr
Sažetak Ship collision avoidance has always been a concern and it is crucial for achieving
safe navigation of ships at sea. There are many studies on ship collision avoidance in open …