Hybrid Discrete Variable Robust Design Optimization Based on the Intelligent Single Particle Algorithm

Mao Fu Liu; Hui Xian Han

doi:10.4028/www.scientific.net/AMM.299.143

Paper Titles

Construction and Research of Virtual Network User File System Based on Upnp and FUSE on Linux
p.125

A Novel Stable Algorithm of Getting User’s Account Based on Telnet Protocol
p.130

Safety Testing Method Analysis of Computer Software
p.135

The Household Appliance Control System Based on ZigBee Network
p.139

Hybrid Discrete Variable Robust Design Optimization Based on the Intelligent Single Particle Algorithm
p.143

Research and Design of Experiment Platform Based on ARM Embedded System
p.148

Research on Radio Frequency Identification Technology
p.152

Study on Marine Automatic Identification System Based on Wireless Local Area Network
p.156

Research on the Embedded Network Streaming Media Technology
p.160

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 299Hybrid Discrete Variable Robust Design...

Hybrid Discrete Variable Robust Design Optimization Based on the Intelligent Single Particle Algorithm

Abstract:

Aiming to solve the problems of hybrid discrete variable robust design optimization in engineering practice, Particle position vector discretization method is applied toimprove intelligence single particle algorithm. A program written by MATLAB is designed for solving the problems of hybrid discrete variable robust design optimization. The paper verified the effectiveness and practicability of the method through an example of plane dimension chain’s discrete tolerance robust optimization design in the field of mechanical manufacturing.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 299)

Pages:

143-147

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.299.143

Citation:

Cite this paper

Online since:

February 2013

Authors:

Mao Fu Liu, Hui Xian Han

Keywords:

Hybrid Discrete Variables, Intelligent Single Particle Optimizer, Robust Design Optimization

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Kennedy J., Eberhart R. Particle swarm optimization[C]/in: Proceedings of IEEE International Conference on Neural Networks. Perth, Australia, 1995: 1942-(1948).

Google Scholar

[2] Z. Ji, J. R, Zhou, H.L. Liao, Q.H. Wu: Chinese Journal of Computers Vol. 33(3) (2010), p.556 (in Chinese).

Google Scholar

[3] Vapnik V N. IEEE Transaction on Neural Networks Vol. 10 (5) (1999), p.988.

Google Scholar

[4] X.G. Zhang: Acta Automatica Sinica Vol. 26 (1) (2000), p.32.

Google Scholar

[5] H.X. Guo: Journal of Machine Design Vol. 22 (3) (2005), p.9.

Google Scholar

[6] H.X. Guo: Journal of Machine Design Vol. 23 (7) (2006), p.37.

Google Scholar

[7] H.X. Guo: China Mechanical Engineering Vol. 13 (3) (2002), p.221.

Google Scholar

[8] Z.B. Lu: http: /luzhenbo. 88uu. com. cn (2009).

Google Scholar