Study on Single Source Shortest Path Algorithms
Date
2017-12-13Author
Afser, Md.
Shameem, Mejbah Uddin
Ferdous, Jannatul
Milon, Md. Mahtab Hossain
Metadata
Show full item recordAbstract
Single Source Shortest Path Algorithm is one of the most used algorithm for routing
and tracking path around the world for communication. Nowadays various famous apps
are also using this algorithm to track the path and gaining information through the Google
Map using different API. We implement Dijkstra, Floyd Warshall, Bellman Ford, Nearest
Neighbor, Johnson algorithm for analysis then we implement shortest path algorithm
using Genetic Algorithm.
Genetic algorithms are used to solve optimization problems and we have tried to
implement this optimization idea into shortest path algorithm to make an innovative
shortest path calculation algorithm. The advantage of the algorithm is the more number of
edges the less it will take time to calculate shortest path.
This paper evaluates the various single source shortest path algorithms. We have
implemented algorithms with graph to analysis the algorithm and then try to calculate
shortest path with the Genetic Algorithm and then compare them with each other
Collections
- B.Sc Thesis/Project [82]
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