General Variable Neighborhood Search for Computing Graph Separators
|Title||General Variable Neighborhood Search for Computing Graph Separators|
|Publication Type||Journal Article|
|Year of Publication||2017|
|Authors||Sánchez-Oro, J., N. Mladenovic, and A. Duarte|
Computing graph separators in networks has a wide range of real-world applications. For instance, in telecommunication networks, a separator determines the capacity and brittleness of the network. In the field of graph algorithms, the computation of balanced small-sized separators is very useful, especially for divide-and-conquer algorithms. In bioinformatics and computational biology, separators are required in grid graphs providing a simplified representation of proteins. This papers presents a new heuristic algorithm based on the Variable Neighborhood Search methodology for computing vertex separators. We compare our procedure with the state-of-the-art methods. Computational results show that our procedure obtains the optimum solution in all of the small and medium instances, and high-quality results in large instances.