Research output

Conference Paper (in Formal Publication) ()

The Effect of Landscape Funnels in QAPLIB Instances

Citation
Thomson S, Ochoa G, Daolio F & Veerapen N (2017) The Effect of Landscape Funnels in QAPLIB Instances In: Proceedings of the Genetic and Evolutionary Computation Conference Companion 2017, Berlin, Germany, July 15–19, 2017 (GECCO ’17), New York: ACM. GECCO ’17: The Genetic and Evolutionary Computation Conference, 15.7.2017 - 19.7.2017, Berlin, Germany, pp. 1495-1500.

Abstract
The effectiveness of common metaheuristics on combinatorial optimisation problems can be limited by certain characteristics of the fitness landscape. We use the local optima network model to compress the ‘inherent structure’ of a problem space into a network whose structure relates to the empirical hardness of the underlying landscape. Monotonic sequences are used on the local optima networks of a benchmark set of QAP instances (QAPLIB) to expose landscape funnels. The results suggest links between features of these structures and lowered metaheuristic performance.

Keywords
Fitness Landscapes; Quadratic Assignment Problem; Local Optima Networks; Funnel Landscapes; Combinatorial Optimisation

StatusPublished
AuthorsThomson Sarah, Ochoa Gabriela, Daolio Fabio, Veerapen Nadarajen
Publication date2017
Date of public distribution07/2017
Date accepted by journal12/04/2017
URLhttp://dx.doi.org/10.1145/3067695.3082512
PublisherACM
Place of publicationNew York
ISBN 978-1-4503-4939-0
LanguageEnglish
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