
In this project, we address the optimization challenge of flight route planning within a given network of airports, emphasizing scenarios where direct flights are unavailable. The primary objective is to find the shortest path, considering factors such as flight distance or time, between a specified source and destination airport. By constructing a weighted graph that represents the flight network and applying Dijkstra's algorithm, we aim to provide an efficient solution for route planning, essential for minimizing travel time and operational costs in the aviation industry.
Discrete Mathematics, Dijkstra's Algorithm
Discrete Mathematics, Dijkstra's Algorithm
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
