Search Results for "dijkstra shortest path algorithm"
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Showing 6 open source projects for "dijkstra shortest path algorithm"
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popt4jlib
Parallel Optimization Library for Java
popt4jlib is an open-source parallel optimization library for the Java programming language supporting both shared memory and distributed message passing models. Implements a number of meta-heuristic algorithms for Non-Linear Programming, including Genetic Algorithms, Differential Evolution, Evolutionary Algorithms, Simulated Annealing, Particle Swarm Optimization, Firefly Algorithm, Monte-Carlo Search, Local Search algorithms, Gradient-Descent-based algorithms, as well as some well-known... -
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A star
it is an implementation of A* algorithm with examples of its usage.
A start (A*) is the algorithm for searching the shortest path in the weighted graphs. My implementation is provided with various interesting applications, i.e. 15 puzzle. This project is related to my other projects located at sourceforge as well: https://sourceforge.net/projects/path-finder-qt/ https://sourceforge.net/projects/shortest-path-graph-a-star/ For detail of A* algorithm see wiki page: https://en.wikipedia.org/wiki/A*_search_algorithm -
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Satsuma .NET Graph Library
a delicious .NET graph library
Satsuma is a graph library for .NET, written in C#. Satsuma is an easy-to-use and flexible library, which implements all the necessary graph structures, and the fastest possible graph algorithms. DOCUMENTATION: http://satsumagraph.sourceforge.net/ Satsuma is not a charting library. 'Graph' is used in the mathematical sense here (e.g. nodes connected with arcs). Satsuma is released under the zlib license. This license is very permissive and allows you to use Satsuma for both personal... -
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C++ Graph is a port of the Annas.Graph Java Library to C++. Visual components are excluded from this port. Will support Breadth First and Depth First Searches, Djikstra Algorithm for shortest path.
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A minimalistic CASE tool that will allow end-users to analyze their graphs (plain-old graphs, UML diagrams, ERDs, etc.) by applying various graph theory functions to them (such as a shortest path algorithm or a spanning tree algorithm.)
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