Volume 37, Number 4, August 2019
|Page(s)||714 - 723|
|Published online||23 September 2019|
Sampling Design Method of Fast Optimal Latin Hypercube
School of Marine Science and Technology, Northwestern Polytechnical University, Xi’an 710072, China
2 Key Laboratory for Unmanned Underwater Vehicle, Northwestern Polytechnical University, Xi’an 710072, China
In engineering design optimization, the optimal sampling design method is usually used to solve large-scale and complex system problems. A sampling design (FOLHD) method of fast optimal Latin hypercube is proposed in order to overcome the time-consuming and poor efficiency of the traditional optimal sampling design methods. FOLHD algorithm is based on the inspiration that a near optimal large-scale Latin hypercube design can be established by a small-scale initial sample generated by using Successive Local Enumeration method and Translational Propagation algorithm. Moreover, a sampling resizing strategy is presented to generate samples with arbitrary size and owing good space-filling and projective properties. Comparing with the several existing sampling design methods, FOLHD is much more efficient in terms of the computation efficiency and sampling properties.
Key words: design of experiments / optimal sampling design method / latin hypercube design / translational propagation algorithm
关键字 : 试验设计 / 优化试验设计方法 / 拉丁超立方设计 / 平移传播算法
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
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