Development of a Versatile and Fast Algorithm for Optimal Ship Routing in the Indian Ocean

Abstract

This study introduces an innovative approach to ship routing in the Indian Ocean by integrating Artificial Neural Networks (ANN) and the A* algorithm. The proposed model dynamically adapts to environmental factors such as weather conditions, sea currents, and navigational hazards, aiming to enhance safety and operational efficiency. By leveraging historical route data and real-time inputs, the system offers improved route planning capabilities. Simulation results indicate notable enhancements in route accuracy, energy efficiency, and computational performance compared to traditional routing methods. This framework presents a scalable solution applicable to both manned and autonomous maritime navigation systems.