The graph colouring problem, a classic NP-hard challenge, is central to many practical applications such as scheduling, resource allocation and network management. Recent advances have seen the ...

This project implements a graph coloring algorithm to demonstrate the NP-Completeness of the COL problem. The algorithm is designed to solve the problem in polynomial time, efficiently coloring the ...

Abstract: Graph coloring is an important problem in computer science and engineering with numerous applications. As the size of data increases today, graphs with millions of nodes are becoming ...

This repository contains a Python implementation of a graph coloring solver using a Genetic Algorithm and a traditional Backtracking algorithm. The project is designed to find the minimum number of ...

Abstract: The graph coloring problem is a well-known optimization challenge, particularly relevant in dynamic environments where the graph undergoes continuous changes over time. Evolutionary ...

Erik Saule and Umit V. Catalytirek from Ohio State University have published a new paper examining the scalability of the upcoming Intel MIC architecture on Graph algorithms. Graph algorithms are ...

The intersection of theoretical computer science and distributed computing. Biologically-inspired algorithms and their connection with distributed computing. Merav Parter and Hsin-Hao Su.