This project implements six graph coloring algorithms — ranging from simple greedy heuristics to a customized, improved Genetic Algorithm (GA). The goal is to show how heuristic design strongly ...

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 involves coloring the nodes of a graph using the minimum number of colors such that no two adjacent nodes share the same color. This NP-hard problem has various ...

This implements an abstract version of the default greedy algorithm for reduced basis and empirical interpolation basis generation. The actual implementation of the ...