The MDPLIB 2.0 Library of Benchmark Instances for Diversity Problems

Abstract

The library MDPLIB 2.01 contains 770 instances classified in different subsets according to their source. We consider three sets of instances depending on the type of values in their distance matrices: Euclidean, Real, and Integer. An extensive description of their characteristics follows.

Abraham Duarte
Abraham Duarte
Full Professor

Abraham Duarte is Full Professor in the Computer Science Department at the Rey Juan Carlos University (Madrid, Spain). He has done extensive research in the interface between computer science, artificial intelligence, and operations research to develop solution methods based on Computational Intelligence (metaheuristics) for practical problems in operations-management areas such as logistics and supply chains, telecommunications, decision-making under uncertainty and optimization of simulated systems.

Jesús Sánchez-Oro
Jesús Sánchez-Oro
Associate Professor

Associate Professor at the Computer Science Department, being one of the senior researchers of the Group for Research on Algorithms For Optimization GRAFO.