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Benchmarking Feature-based Algorithm Selection Systems for Black-box Numerical Optimization
[article]
2022
arXiv
pre-print
Feature-based algorithm selection aims to automatically find the best one from a portfolio of optimization algorithms on an unseen problem based on its landscape features. Feature-based algorithm selection has recently received attention in the research field of black-box numerical optimization. However, there is still room for analysis of algorithm selection for black-box optimization. Most previous studies have focused only on whether an algorithm selection system can outperform the
arXiv:2109.08377v3
fatcat:q64q7ulzkrezxlcwgt2hn52n7m