LEOPARD: LEarning and OPtimization Archive of Research Data, Version 1.0
Posted on 2021-01-27 - 22:50 authored by Mario Andres Munoz Acosta
This data collection contains function inputs (generated using the MATLAB function lhsdesign), outputs, indexes for bootstrap resampling, and values for 33 ELA features, including bootstrapped values, for the first 15 instances from the BBOB noiseless benchmark set v13.09. Details on how the data set was collected are described in Chapter 3 of (M.A. Muñoz, 2013 DOI:10.13140/RG.2.2.31375.82089). Unfortunately, random seeds were not recorded at the time. All original files were created in MATLAB 2012b, and translated into CSV files in MATLAB 2020a. This data has been used for the publications/preprints listed below (This list will be updated to add published papers and pre-prints).
If you use this collection please cite as:
Mario A. Muñoz "LEOPARD: LEarning and OPtimization Archive of Research Data, Version 1.0" Aug. 2020 DOI:10.6084/m9.figshare.c.5106758.
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3 Biotech
3D Printing in Medicine
3D Research
3D-Printed Materials and Systems
4OR
AAPG Bulletin
AAPS Open
AAPS PharmSciTech
Abhandlungen aus dem Mathematischen Seminar der Universität Hamburg
ABI Technik (German)
Academic Medicine
Academic Pediatrics
Academic Psychiatry
Academic Questions
Academy of Management Discoveries
Academy of Management Journal
Academy of Management Learning and Education
Academy of Management Perspectives
Academy of Management Proceedings
Academy of Management Review
Munoz Acosta, Mario Andres (2021). LEOPARD: LEarning and OPtimization Archive of Research Data, Version 1.0. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.5106758.v1
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