Abstract
In this paper we propose a new class of test functions for unconstrained global optimization problems. The class depends on some parameters through which the difficulty of the test problems can be controlled. As a basis for future comparison, we propose a selected set of these functions, with increasing difficulty, and some computational experiments with two simple global optimization algorithms.
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Addis, B., Locatelli, M. A new class of test functions for global optimization. J Glob Optim 38, 479–501 (2007). https://doi.org/10.1007/s10898-006-9099-8
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DOI: https://doi.org/10.1007/s10898-006-9099-8