COMPARISON OF SPACE-FILLING DESIGN STRATEGIES

Abstract eng:
Space-Filling Design Strategies create an essential part of a surrogate modeling. Two main objectives are usually placed on the resulting designs - orthogonality and space-filling properties. The last decade has witnessed the development of several methods for the latter objective. These methods are based on very different ideas and are characterized by distant complexities. Since the computing time can be the limiting constraint, we inspect the computing demands against the space-filling performances. In detail, our contribution presents and compares several different techniques of quazi-random numbers generators utilizing Latine Hypercube Sampling (LHS) methods as well as Delaunay triangulations.

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