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Comparing parallellized metaheuristic algorithms solving the Graph Coloring Problem

We, Ivan Ivanov and Milen Ferev, are developing a scientific project which solves the Graph Coloring Problem using parallelized metaheuristic algorithms. The algorithms are optimized for the current working system and then benchmarked. Currently, a Genetic algorithm and an Ant Colony Optimization algorithm are implemented. They are still being optimized to fit our needs.

Also, a web visualizer which uses Node.JS is provided. It presents the colored graph to the user.

#Acknowledgements#

Our supervisor to the project is Dr. Stoyan Vellev from SAP Labs Bulgaria. The project was started under the instruction of Emil Kelevedjiev, a researcher in the Bulgarian Academy of Sciences. Other supporters are our scientifict advisor Konstantin Delchev and HSSIMI.

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Parallellized metaheuristic algorithms solving the Graph Coloring problem

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