In complex engineering problems, often the objective functions can be very slow to evaluate. This paper introduces a new algorithm that aims to provide controllable exploration and exploitation of the decision space with a very limited number of function evaluations. The paper compares the performance of the algorithm to a typical evolutionary approach.
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