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The bbob-largescale test suite, containing 24 single-objective functions incontinuous domain, extends the well-known single-objective noiseless bbob testsuite, which has been used since 2009 in the BBOB workshop series, to largedimension. The core idea is to make the rotational transformations R, Q insearch space that appear in the bbob test suite computationally cheaper whileretaining some desired properties. This documentation presents an approach thatreplaces a full rotational transformation with a combination of ablock-diagonal matrix and two permutation matrices in order to construct testfunctions whose computational and memory costs scale linearly in the dimensionof the problem.

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite