Article

Communities of minima in local optima networks of combinatorial spaces

Details

Citation

Daolio F, Tomassini M, Verel S & Ochoa G (2011) Communities of minima in local optima networks of combinatorial spaces. Physica A: Statistical Mechanics and its Applications, 390 (9), pp. 1684-1694. https://doi.org/10.1016/j.physa.2011.01.005

Abstract
In this work, we present a new methodology to study the structure of the configuration spaces of hard combinatorial problems. It consists in building the network that has as nodes the locally optimal configurations and as edges the weighted oriented transitions between their basins of attraction. We apply the approach to the detection of communities in the optima networks produced by two different classes of instances of a hard combinatorial optimization problem: the quadratic assignment problem (QAP). We provide evidence indicating that the two problem instance classes give rise to very different configuration spaces. For the so-called real-like class, the networks possess a clear modular structure, while the optima networks belonging to the class of random uniform instances are less well partitionable into clusters. This is convincingly supported by using several statistical tests. Finally, we briefly discuss the consequences of the findings for heuristically searching the corresponding problem spaces.

Keywords
Community structure; Optima networks; Combinatorial fitness landscapes

Journal
Physica A: Statistical Mechanics and its Applications: Volume 390, Issue 9

StatusPublished
Publication date01/05/2011
URLhttp://hdl.handle.net/1893/11047
PublisherElsevier
ISSN0378-4371

People (1)

Professor Gabriela Ochoa

Professor Gabriela Ochoa

Professor, Computing Science

Research centres/groups