In this paper, a novel intelligent method of DOE, the translational propagation algorithm, is employed to obtain optimal Latin hypercube designs (TPLHDs).
In this paper, a novel intelligent method of DOE, the translational propagation algorithm, is employed to obtain optimal Latin hypercube designs (TPLHDs). It ...
This article presents an improved translational propagation algorithm (iTPA). First, a novel uniform translating process is proposed to better allocate sample ...
Missing: regression | Show results with:regression
This paper presents the translational propagation algorithm, a new method for obtaining optimal or near optimal Latin hypercube designs (LHDs) without using ...
Aug 31, 2020 · By using Latin Hypercube Design you reduce the number of runs necessary to achieve a reasonably accurate result. Then I want to use some kind ...
Missing: fast | Show results with:fast
Mar 12, 2022 · To explore the relationship, one could use traditional regression models. But the most popular are Gaussian process models; see Chapter 17 for ...
Mar 30, 2018 · Latin hypercube designs provide a balance between the objectives of sphere packing and uniform designs. The algorithm to select design points is ...
Missing: optimal | Show results with:optimal
Suitable sampling methods include model-independent designs like Latin hypercube sampling of different types as in Husslage et al. (2011) or criterion-based ...
Missing: fast | Show results with:fast
Instead we will use a Latin Hypercube Design (LHD). This design has several properties that are desirable for a computer experiment: It is a space-filling ...
One-sentence Summary: This paper proposes a new Guassian Process model involved with budgets and matched optimal initial designs to improving the efficiency and ...