The Custom Gridworld and Environment Demo of Ship Route Planning with Reinforcement Learning. The reinforcement learning based on Qlearning method is realized. Q tables can be saved. Support documentation of training sessions. Support the display of result graphs
Ship Routing Algorithms for Just-In-Time and Energy Efficient Voyages. By using a genetic algorithm we strive the lowest possible fuel consumption while at the same time keeping the scheduled deadlines. Two different specifications of the algorithm are available, one with a constant engine power, one with an over the route changeable engine power.
Shortest sea route between any two points on Earth. TypeScript library with the 2025 Eurostat maritime network, canal/strait restrictions (Suez, Panama, Bab-el-Mandeb…), vessel-draft gating, K-shortest alternatives, multi-leg waypoints, and ETA from speed.
Ship Routing Algorithm to Minimize Fuel consumption ⛽ and CO2 emission 🚢💨
check the product UI for the data that will be included.
Add a description, image, and links to the ship-routing topic page so that developers can more easily learn about it.
To associate your repository with the ship-routing topic, visit your repo's landing page and select "manage topics."