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The article describes a system designed to find the best (in one sense or another) settings of the algorithm. The system works with both discrete and continuous parameters, and also uses parallelism provided by public clouds. The paper presents a general description of the system, a method for evaluating the performance of an algorithm in the cloud, and numerical results of using the system on several sets of test problems.