Taylor Kriging metamodeling for simulation interpolation, sensitivity analysis and optimization. by Heping Liu 0000-00-00 00:00:00

eBook Best Deals & PDF Download Taylor Kriging metamodeling for simulation interpolation, sensitivity analysis and optimization.

by Heping Liu
Book Views: 12
Taylor Kriging metamodeling for simulation interpolation, sensitivity analysis and optimization. by Heping Liu
Author
Heping Liu
Publisher
Date of release
Pages
0
ISBN
9781109268638
Binding
Illustrations
Format
PDF, EPUB, MOBI, TXT, DOC
Rating
3
34
Verified safe to download
See available formats

Book review

The book explores Kriging metamodeling for interpolation, sensitivity analysis and optimization of simulation models with costly computational expenses. A novel Kriging model is developed and named Taylor Kriging (TK) where Taylor expansion is used to identify a drift function. Taylor expansion has the excellent nonlinear approximation capability, thus enhancing the interpolation capability of Kriging. Sample standard deviation is used as the metric for influence distance in a covariance function of Kriging, and makes simulations with data of differing magnitudes have a consistent measure unit. The partial differentiation equation of Kriging is developed and used together with analysis of variance to assist in sensitivity analysis on a simulation model. A novel simulation optimization algorithm named SOAKEA is created which integrates Kriging with evolutionary algorithms to optimize simulation models with expensive running cost. The properties of SOAKEA are investigated, and some empirical conclusions are obtained. In addition, the Kriging software is developed in order to satisfy the needs of wide applications.

Find and Download Book — Taylor Kriging metamodeling for simulation interpolation, sensitivity analysis and optimization.

Click one of share button to proceed download:
Choose server for download:
Download
Get It!
File size:11 mb
Estimated time:5 min
If not downloading or you getting an error:
  • Try another server.
  • Try to reload page — press F5 on keyboard.
  • Clear browser cache.
  • Clear browser cookies.
  • Try other browser.
  • If you still getting an error — please contact us and we will fix this error ASAP.
Sorry for inconvenience!
For authors or copyright holders
Amazon Affiliate

Go to Removal form

Leave a comment

Readers reviews