Optimization of Milling Parameter Based on Modified Genetic Algorithm

Abstract:

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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 et al., "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:

$35.00

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