Searching for Benchmark Problem Instances from Data-Driven Optimisation

Author:

Hajari Sara1ORCID,Gallagher Marcus1ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science, University of Queensland, Brisbane, Australia

Publisher

ACM

Reference16 articles.

1. T. Bartz-Beielstein et al. 2020. Benchmarking in optimization: Best practice and open issues. arXiv preprint arXiv:2007.03488 (2020).

2. Evolutionary algorithm characterization in real parameter optimization problems

3. G. Cenikj, R. D. Lang, A. P. Engelbrecht, C. Doerr, P. Korošec, and T. Eftimov. 2022. Selector: selecting a representative benchmark suite for reproducible statistical comparison. In Proc GECCO. 620--629.

4. K. Dietrich and O. Mersmann. 2022. Increasing the diversity of benchmark function sets through affine recombination. In International Conference on Parallel Problem Solving from Nature. 590--602.

5. Improving the reliability of test functions generators

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