Please use this identifier to cite or link to this item:
http://hdl.handle.net/1893/27951
Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
Author(s): | Ochoa, Gabriela Herrmann, Sebastian |
Title: | Perturbation strength and the global structure of qap fitness landscapes |
Editor(s): | Fonseca, CM Lourenco, N Machado, P Paquete, L Auger, A Whitley, D |
Citation: | Ochoa G & Herrmann S (2018) Perturbation strength and the global structure of qap fitness landscapes. In: Fonseca C, Lourenco N, Machado P, Paquete L, Auger A & Whitley D (eds.) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, 11102. PPSN 2018: International Conference on Parallel Problem Solving from Nature, Coimbra, Portugal, 08.09.2018-12.09.2018. Cham, Switzerland: Springer Verlag, pp. 245-256. https://doi.org/10.1007/978-3-319-99259-4_20 |
Issue Date: | 31-Dec-2018 |
Date Deposited: | 11-Oct-2018 |
Series/Report no.: | Lecture Notes in Computer Science, 11102 |
Conference Name: | PPSN 2018: International Conference on Parallel Problem Solving from Nature |
Conference Dates: | 2018-09-08 - 2018-09-12 |
Conference Location: | Coimbra, Portugal |
Abstract: | We study the effect of increasing the perturbation strength on the global structure of QAP fitness landscapes induced by Iterated Local Search (ILS). The global structure is captured with Local Optima Networks. Our analysis concentrates on the number, characteristics and distribution of funnels in the landscape, and how they change with increasing perturbation strengths. Well-known QAP instance types are considered. Our results confirm the multi-funnel structure of QAP fitness landscapes and clearly explain, visually and quantitatively, why ILS with large perturbation strengths produces better results. Moreover, we found striking differences between randomly generated and real-world instances, which warns about using synthetic benchmarks for (manual or automatic) algorithm design and tuning. |
Status: | AM - Accepted Manuscript |
Rights: | This is a post-peer-review, pre-copyedit version of a paper published in Fonseca C, Lourenco N, Machado P, Paquete L, Auger A & Whitley D (eds.) Parallel Problem Solving from Nature – PPSN XV. PPSN 2018. Lecture Notes in Computer Science, 11102. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-99259-4_20 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
perturbation-strength-global.pdf | Fulltext - Accepted Version | 3.33 MB | Adobe PDF | View/Open |
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
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.