Various aspects of benchmarking deterministic and stochastic constrained global optimization methods are considered in this talk. Several techniques for testing numerical global optimization algorithms are described with a particular focus on the recently proposed operational zones https://doi.org/10.1016/j.matcom.2016.05.006 and aggregated operational zones https://www.nature.com/articles/s41598-017-18940-4 . A new generator of constrained test problems is also presented which is based on the GKLS generator https://dl.acm.org/doi/10.1145/962437.962444 widely used in the global optimization literature. It extends the previous generation procedure from the box-constrained case to the case of nonlinear constraints. The user has the possibility to fix the difficulty of tests in an intuitive way by choosing several types of constraints. A detailed information (including the global solution) for each of tests is provided to the user.
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|Titolo:||On Benchmarking Numerical Methods for Constrained Global Optimization|
KVASOV, Dmitry (Corresponding)
|Data di pubblicazione:||2021|
|Appare nelle tipologie:||4.2 Abstract in Atti di convegno|