Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/25363
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Thomson, Sarah
Ochoa, Gabriela
Daolio, Fabio
Veerapen, Nadarajen
Contact Email: sarah@cs.stir.ac.uk
Title: The Effect of Landscape Funnels in QAPLIB Instances (Forthcoming)
Citation: Thomson S, Ochoa G, Daolio F & Veerapen N (2017) The Effect of Landscape Funnels in QAPLIB Instances (Forthcoming) In: Proceedings of the Genetic and Evolutionary Computation Conference 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.
Conference Name: GECCO ’17: The Genetic and Evolutionary Computation Conference
Conference Dates: 2017-07-15T00:00:00Z
Conference Location: Berlin, Germany
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.
Status: Book Chapter: author post-print (pre-copy editing)
Rights: This item has been embargoed for a period. During the embargo please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. © 2017 Copyright held by the owner/author(s) GECCO ’17, Berlin, Germany Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profi t or commercial advantage and that copies bear this notice and the full citation on the fi rst page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).
URL: http://dx.doi.org/10.1145/3067695.3082512

Files in This Item:
File Description SizeFormat 
thomson2.pdf1.2 MBAdobe PDFView/Open



This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.