Interleaved lattice-based maximin distance designs
Xu He

TL;DR
This paper introduces a novel method for constructing interleaved lattice-based maximin distance designs that are highly effective in multiple dimensions, especially useful for computer experiments with prior knowledge of variable importance.
Contribution
The paper presents a new lattice-based approach for maximin distance designs that outperform existing methods in four or more dimensions, adaptable to various distance measures.
Findings
Designs exhibit interleaved-layer structures
Achieve superior maximin distances in higher dimensions
Applicable to weighted and unweighted distance measures
Abstract
We propose a new method to construct maximin distance designs with arbitrary number of dimensions and points. The proposed designs hold interleaved-layer structures and are by far the best maximin distance designs in four or more dimensions. Applicable to distance measures with equal or unequal weights, our method is useful for emulating computer experiments when a relatively accurate priori guess on the variable importance is available.
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Taxonomy
TopicsOptimal Experimental Design Methods · Advanced Multi-Objective Optimization Algorithms · Topology Optimization in Engineering
