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Optimization of Milling Parameter based on Modified Genetic Algorithm

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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.

genetic algorithmmilling parameteroptimization

Jingying Zhang、Siqin Pang、Qixun Yu

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School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China, 100081

2010

Key engineering materials

Key engineering materials

ISSN:1013-9826
年,卷(期):2010.431/432
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