Sequential Approximate Optimization Using Radial Basis Function Network (Application to the Discrete Design Variable Problems)-Reference-Cited by-同舟云学术

Sequential Approximate Optimization Using Radial Basis Function Network (Application to the Discrete Design Variable Problems)

Published:2012 Issue:787 Volume:78 Page:907-920
ISSN:0387-5024
Container-title:TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
language:en
Short-container-title:Trans.JSME(C)

Author:

KITAYAMA Satoshi¹,SAKAI Shinobu¹

Affiliation:

1. Kanazawa University, College of Science and Engineering

Publisher

Japan Society of Mechanical Engineers

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials

Link

https://www.jstage.jst.go.jp/article/kikaic/78/787/78_787_907/_pdf

Reference37 articles.

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3. Surrogate-based process optimization for reducing warpage in injection molding

4. (4) Zhao, P., Zhou, H., Li, Y., and Li, D., “Process parameters optimization of injection molding using a fast strip analysis as a surrogate”, International Journal of Advanced Manufacturing Technology, Vol.49, (2010), pp.949-959.

5. (5) Li, C., Wang, F.L., Chang, Y.Q., and Liu, Y., “A Modified Global Optimization Method based on Surrogate Model and its Application in Packing Profile Optimization of Injection Molding Process, International Journal of Advanced Manufacturing Technology, Vol.48, (2010), pp.505-511.