Dataset for: KASRA: A Kriging-based Adaptive Space Reduction Algorithm for Global Optimization of Computationally Expensive Black-Box Constrained Problems

Published: 14 Feb 2020 | Version 1 | DOI: 10.17632/bnv8fn48g6.1
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Description of this data

The raw dataset obtained during performance tests of the proposed surrogate-based global optimization algorithm (KASRA) on all testing problems mentioned in the paper is included and stored in some zipped files. The dataset is relevant to the illustrative examples and Tables 1−4 in sections 5 and 6 of the paper. Besides, all MATLAB plots in fig-format are presented.

Experiment data files

Steps to reproduce

The experiments of KASRA for the test cases are executed in Matlab™ R2016b (9.1) on the computer equipped with an Intel Core i5-6600U CPU (3.50 GHz) and 8 GB memory.

Related links

Latest version

  • Version 1

    2020-02-14

    Published: 2020-02-14

    DOI: 10.17632/bnv8fn48g6.1

    Cite this dataset

    Akbari, Hossein; Kazerooni, Afshin (2020), “Dataset for: KASRA: A Kriging-based Adaptive Space Reduction Algorithm for Global Optimization of Computationally Expensive Black-Box Constrained Problems”, Mendeley Data, v1 http://dx.doi.org/10.17632/bnv8fn48g6.1

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Institutions

Shahid Rajaee Teacher Training University

Categories

Engineering, Constrained Optimization, Global Optimization, Metamodeling, Kriging

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

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