In graph theory, graph coloring is a special case of graph labeling; it is an assignment of labels traditionally called "colors" to elements of a graph subject to certain constraints. In its simplest ...

Graph-Coloring-Using-Genetics-Algorithm Objectives The main aim of the program is to develop different approaches for graph coloring, while focusing on genetic algorithms and backtracking techniques.

Learn about the most effective techniques for designing randomized algorithms for graph coloring, and how they differ from deterministic algorithms.

Vertex graph coloring (VGC) is a well known problem in graph theory and has a large number of applications in various domains such as telecommunications, bioinformatics, and Internet. It is one of the ...

One of the simplest randomized algorithms for graph coloring is the greedy algorithm, which assigns colors to the nodes in a random order, using the smallest available color for each node. The ...

Graph Colouring: The process of assigning colours to the vertices of a graph such that no two adjacent vertices share the same colour. Chromatic Number: The minimum number of colours required to ...

A DNA algorithm based on surfaces for the graph coloring problem is presented. First the whole combinatorial color assignments to the vertices of a graph are synthesized and immobilized on a surface; ...

Seth Pettie and Hsin-Hao Su. Distributed Coloring Algorithms for Triangle-Free Graphs. Information and Computation 243:263-280, 2015. A preliminary version appeared in Proceedings of 40th Int’l Colloq ...