Dataset for: KASRA: A Kriging-based Adaptive Space Reduction Algorithm for Global Optimization of Computationally Expensive Black-Box Constrained Problems
Published: 14 February 2020| Version 1 | DOI: 10.17632/bnv8fn48g6.1
Contributors:
, Description
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.
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.
Institutions
Shahid Rajaee Teacher Training University
Categories
Engineering, Constrained Optimization, Global Optimization, Metamodeling, Kriging