Optimization design of Close-top Mill Housing Based on Agent Model and NSGA-II Algorithm

DOI

10.2991/icimm-15.2015.255How to use a DOI?

Keywords

EBF-NN; RBF-NN; Kriging; NSGA-II; Mill housing; Surrogate models.

Abstract

Conventional engineering optimization design technology is often computational expense and highly time cost, thus we need to take approximation technique to speed up the design process and reduce design cost. We herein would introduce the close-top mill housing optimization model, take Optimal Latin Hypercube Sampling (OLHS) experimental design strategies to determine the sample, analyse the difference among EBF, RBF, Kriging surrogate model, introduce NSGA-II algorithm briefly and study the performance of method based on surrogate model and optimization algorithm.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Yanjun Shi
AU  - Xianchao Wang
AU  - Xiaojun Zheng
PY  - 2015/07
DA  - 2015/07
TI  - Optimization design of Close-top Mill Housing Based on Agent Model and NSGA-II Algorithm
BT  - Proceedings of the 5th International Conference on Information Engineering for Mechanics and Materials
PB  - Atlantis Press
SP  - 1397
EP  - 1402
SN  - 2352-5401
UR  - https://doi.org/10.2991/icimm-15.2015.255
DO  - 10.2991/icimm-15.2015.255
ID  - Shi2015/07
ER  -