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 ...

The study of graph colouring has long been a central topic in discrete mathematics, with a prominent focus on optimising the assignment of labels or colours to vertices such that adjacent vertices are ...

Abstract: We present a hybrid approach combining Reinforcement Learning (RL) with the TabuCol, which is a version of tabu search specifically designed for the Graph Coloring Problem (GCP), enhanced by ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6287639 ...

This repository contains Data Structures and Algorithms (DSA) lab exercises implemented in Java as part of the CDAC curriculum. It covers fundamental problem-solving techniques, algorithmic complexity ...

Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself.Clear plotting improves when scatte ...