Study the optimization of Dijkstra’s Algorithm

This paper presents an optimized approach to the shortest path problem, a fundamental concern in graph theory, by improving node selection and data storage. The traditional Dijkstra's algorithm is enhanced by introducing a novel node selection strategy that prioritizes nodes with the most significant impact on the shortest path, minimizing redundant calculations and accelerating convergence. Additionally, a compact data storage structure is introduced, reducing memory requirements while maintaining accuracy. This optimized approach offers reduced storage needs, enhanced efficiency, and improved scalability, making it an ideal solution for real-world applications in network optimization, traffic routing, and logistics, enabling faster and more scalable solutions for large-scale graphs and complex networks.