|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Title:||Sampling local optima networks of large combinatorial search spaces: The qap case|
|Citation:||Verel S, Daolio F, Ochoa G & Tomassini M (2018) Sampling local optima networks of large combinatorial search spaces: The qap case. 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. 257-268. https://doi.org/10.1007/978-3-319-99259-4_21|
|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:||Local Optima Networks (LON) model combinatorial landscapes as graphs, where nodes are local optima and edges transitions among them according to given move operators. Modelling landscapes as networks brings a new rich set of metrics to characterize them. Most of the previous works on LONs fully enumerate the underlying landscapes to extract all local optima, which limits their use to small instances. This article proposes a sound sampling procedure to extract LONs of larger instances and estimate their metrics. The results obtained on two classes of Quadratic Assignment Problem (QAP) benchmark instances show that the method produces reliable results.|
|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_21|
|sampling-lons-2018.pdf||Fulltext - Accepted Version||359.96 kB||Adobe PDF||View/Open|
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