Paper Title:
Optimization of Milling Parameter Based on Modified Genetic Algorithm
  Abstract

This article establishes the multi-target optimization model of numerically-controlled milling parameter and illustrates the optimization design and system realization through modified Genetic Algorithm (GA). This system adopts double-breakpoint crossing and self-adaptive mutation and inverse operator through transgenic technology. It improves its local searching ability and calculation speed.

  Info
Periodical
Key Engineering Materials (Volumes 431-432)
Edited by
Yingxue Yao, Dunwen Zuo and Xipeng Xu
Pages
531-534
DOI
10.4028/www.scientific.net/KEM.431-432.531
Citation
J. Y. Zhang, S. Q. Pang, Q. X. Yu, "Optimization of Milling Parameter Based on Modified Genetic Algorithm", Key Engineering Materials, Vols. 431-432, pp. 531-534, 2010
Online since
March 2010
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Price
$32.00
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