This repository presents 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), ...
Graph reconfiguration and colouring problems investigate the transition between feasible solutions of a graph colouring instance. The central challenge is to determine a series of elementary vertex ...
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 ...
Dynamic graph colouring is a fundamental combinatorial optimization problem critical for temporal resource allocation, scheduling, and network management. Traditional methods (like Greedy or DSATUR) ...
Two computer scientists found — in the unlikeliest of places — just the idea they needed to make a big leap in graph theory. This past October, as Jacob Holm and Eva Rotenberg were thumbing through a ...
Abstract: Scheduling academic activity, staff, and spaces within schools is a complex yet vital exercise that requires attention to an enormous number of rigidity and flexibility constraints during ...
In just three pages, a Russian mathematician has presented a better way to color certain types of networks than many experts thought possible. A paper posted online last month has disproved a ...
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