Sampling Design Method of Fast Optimal Latin Hypercube
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...
| বিন্যাস: | প্রবন্ধ |
|---|---|
| ভাষা: | zho |
| প্রকাশিত: |
EDP Sciences
2019-08-01
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| মালা: | Xibei Gongye Daxue Xuebao |
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | https://www.jnwpu.org/articles/jnwpu/full_html/2019/04/jnwpu2019374p714/jnwpu2019374p714.html |
| _version_ | 1827615112796569600 |
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| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T09:06:28Z |
| format | Article |
| id | doaj.art-d6f10a4406204ee3a0491a80cc471664 |
| institution | Directory Open Access Journal |
| issn | 1000-2758 2609-7125 |
| language | zho |
| last_indexed | 2024-03-09T09:06:28Z |
| publishDate | 2019-08-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | Xibei Gongye Daxue Xuebao |
| spelling | doaj.art-d6f10a4406204ee3a0491a80cc4716642023-12-02T10:23:50ZzhoEDP SciencesXibei Gongye Daxue Xuebao1000-27582609-71252019-08-0137471472310.1051/jnwpu/20193740714jnwpu2019374p714Sampling Design Method of Fast Optimal Latin HypercubeIn 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.https://www.jnwpu.org/articles/jnwpu/full_html/2019/04/jnwpu2019374p714/jnwpu2019374p714.htmldesign of experimentsoptimal sampling design methodlatin hypercube designtranslational propagation algorithm |
| spellingShingle | Sampling Design Method of Fast Optimal Latin Hypercube Xibei Gongye Daxue Xuebao design of experiments optimal sampling design method latin hypercube design translational propagation algorithm |
| title | Sampling Design Method of Fast Optimal Latin Hypercube |
| title_full | Sampling Design Method of Fast Optimal Latin Hypercube |
| title_fullStr | Sampling Design Method of Fast Optimal Latin Hypercube |
| title_full_unstemmed | Sampling Design Method of Fast Optimal Latin Hypercube |
| title_short | Sampling Design Method of Fast Optimal Latin Hypercube |
| title_sort | sampling design method of fast optimal latin hypercube |
| topic | design of experiments optimal sampling design method latin hypercube design translational propagation algorithm |
| url | https://www.jnwpu.org/articles/jnwpu/full_html/2019/04/jnwpu2019374p714/jnwpu2019374p714.html |