Paper Title:
Optimization of Milling Parameters Based on Genetic Algorithm
  Abstract

This paper presents a hierarchical genetic algorithm for interactive change search domain, using the search field continuously to shrink toward the optimal point, and also to optimize the multi-layer at the same time, conducting the interaction of individual between the layers. Individuals with the fitness value greater than zero are filtered out gradually as the most optimized cutting parameters. This method has greatly increased the time and accuracy of parameter optimization.

  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
403-407
DOI
10.4028/www.scientific.net/AMM.141.403
Citation
Q. Li, R. Wang, Q.J. Liu, R. Z. Wu, M.K. Shao, C.J. Liao, "Optimization of Milling Parameters Based on Genetic Algorithm", Applied Mechanics and Materials, Vol. 141, pp. 403-407, 2012
Online since
November 2011
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