Paper Title:
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.

  Info
Periodical
Chapter
Chapter 3: Functional Manufacturing and Information Technology
Edited by
Hun Guo, Taiyong Wang, Zeyu Weng, Weidong Jin, Shaoze Yan, Xuda Qin, Guofeng Wang, Qingjian Liu and Zijing Wang
Pages
419-423
DOI
10.4028/www.scientific.net/AMM.141.419
Citation
R. Z. Wu, Q. J. Liu, M. K. Shao, R. Wang, "Processing Parameters Optimization Based on PSO Algorithm", Applied Mechanics and Materials, Vol. 141, pp. 419-423, 2012
Online since
November 2011
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Price
$32.00
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