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Lecture Notes in Computer Science
In most engineering problems, experiments for evaluating the performance of different setups are time consuming, expensive, or even both. Therefore, sequential experimental designs have become an indispensable technique for optimizing the objective functions of these problems. In this context, most of the problems can be considered as a black-box. Specifically, no function properties are known a priori to select best suited surrogate model class. Therefore, we propose a new ensemble-baseddoi:10.1007/978-3-642-44973-4_13 fatcat:doz2wrmfgjbbnpbvkawwnqo75q