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
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

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