Optimization of Milling Parameter Based on Modified Genetic Algorithm
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.
Yingxue Yao, Dunwen Zuo and Xipeng Xu
J. Y. Zhang et al., "Optimization of Milling Parameter Based on Modified Genetic Algorithm", Key Engineering Materials, Vols. 431-432, pp. 531-534, 2010