The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/19314218

Guijt, Arthur; Thierens, Dirk; Alderliesten, Tanja; Bosman, Peter A.N. (2022): Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA: Result Data. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/19314218.v1

Dataset

• Artificial Intelligence and Image Processing

evolutionary algorithms, kernels, linkage learning, local neighborhood, Model Based Evolutionary Algorithms (MBEAs), multi-objective

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Arthur Guijt , Dirk Thierens, Tanja Alderliesten , Peter A.N. Bosman

These are the raw datafiles containing the results for each individual run used to generate the graphs in the work "Solving Multi-Structured Problems by Introducing Linkage Kernels into GOMEA".

• 2022-03-18 first online, published, posted

4TU.ResearchData

gzipped csv (results), zipped csv (instances & associated metadata)

• https://doi.org/10.48550/arXiv.2203.05970

• NWO - DAEDALUS - 18373

CWI, Life Sciences and Health
TU Delft, Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS), Department of Software Technology (ST)