Comparing and generating Latin Hypercube designs in Kriging models
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چکیده
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Latin hypercube designs (LHDs) are widely used in many applications. As the number of design points or factors becomes large, the total number of LHDs grows exponentially. The large number of feasible designs makes the search for optimal LHDs a difficult discrete optimization problem. To tackle this problem, we propose a new population-based algorithm named LaPSO that is adapted from the standa...
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ژورنال
عنوان ژورنال: AStA Advances in Statistical Analysis
سال: 2010
ISSN: 1863-8171,1863-818X
DOI: 10.1007/s10182-010-0142-1