Processing Parameters Optimization Based on PSO Algorithm

Abstract:

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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:

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 et al., "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:

$35.00

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