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 ...

We plan to model foundational graph algorithms in Alloy and use the models to verify their correctness. More specifically, we will be modeling the graph coloring problem (vertex coloring and edge ...

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 ...

Abstract: In parallel computing, a valid graph coloring yields a lock-free processing of the colored tasks, data points, etc., without expensive synchronization mechanisms. However, coloring is not ...

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 ...

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

Back in the hazy olden days of the pre-2000s, navigating between two locations generally required someone to whip out a paper map and painstakingly figure out the most optimal route between those ...