Processing Parameters Optimization Based on PSO Algorithm

Rong Zong Wu; Qing Jian Liu; Ming Kun Shao; Run Wang

doi:10.4028/www.scientific.net/AMM.141.419

Paper Titles

Online Identification of the Bearing Dynamic Parameters for Rotor-Bearing Systems
p.397

Optimization of Milling Parameters Based on Genetic Algorithm
p.403

Pneumatic Mechanism of Gas Cooled or Heated Through a Throttle Orifice
p.408

Precision Analysis for Large-Travel Rotational Butterfly Pivot
p.413

Processing Parameters Optimization Based on PSO Algorithm
p.419

Research of the Soft PLC Based on the Open PLC
p.424

Research on Integrated Architecture for Tool Wear Monitoring System of CNC Machine Center
p.429

Research on Mechanical Fault Diagnosis Based on Cascaded Bistable Stochastic Resonance and Fractal Box Dimension
p.434

Research on Post Processing of 5-Axis Linkage Machines
p.438

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 141Processing Parameters Optimization Based on PSO...

Processing Parameters Optimization Based on PSO Algorithm

Abstract:

Particle swarm optimization (PSO) is classified into swarm intelligence algorithm. Focusing on the NC processing parameters optimization, this paper has made several improvements on PSO: dividing solutions into feasible and infeasible, then shrinking the infeasible solutions; dividing feasible solutions into inferior and non-inferior, then choosing the non-inferior solution with most domination solutions as the global best position for inferior solutions. It has shown a significant achievement in actual processing.

You might also be interested in these eBooks

Functional Manufacturing and Mechanical Dynamics II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 141)

Pages:

419-423

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.141.419

Citation:

Cite this paper

Online since:

November 2011

Authors:

Rong Zong Wu, Qing Jian Liu, Ming Kun Shao, Run Wang

Keywords:

Particle Swarm Optimization Algorithm (PSO), Processing Parameters Optimization, Swarm Intelligence Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] L. Wang, B. Liu: Particle Swarm Optimization and Scheduling Algorithm (Tsinghua University Press, Beijing 2008).

Google Scholar

[2] S. Gao, J. Y Wang: Swarm Intelligence Algorithm (China Water Power Press, China 2006).

Google Scholar

[3] J. C Zeng, J. Jie, Z.H. Chui: Particle Swarm optimization (Science Press, Beijing 2004).

Google Scholar

[4] Runarsson T.P., Yao X: IEEE Trans. on Evolutionary Computation Vol. 4 (2000), pp.284-294.

Google Scholar

[5] Deb K: Computer Methods in Applied Mechanics and Engineering Vol. 186 (2000), pp.311-339.

Google Scholar

[6] X.K. Wang: Mechanical processing handbook (China Machine Press, Beijing2007).

Google Scholar

[7] K.E. Parsopoulos and M.N. Vrahatis: Applied Computing (Madrid, Spain, March 11-14, 2002).

Google Scholar

[8] M. Clerc: Evolutionary Computation (Washington DC, USA, July 6-9, 1999).

Google Scholar