Application of a Hybrid Algorithm Based on Genetic Algorithm and Hill-climbing Algorithm to Tool Path Optimization in CNC Machining

被引:8
作者
Du, Haiqing [1 ]
Qi, Jibao [1 ]
机构
[1] Zhejiang Ind Polytech Coll, Shaoxing 312001, Peoples R China
来源
DIGITAL DESIGN AND MANUFACTURING TECHNOLOGY, PTS 1 AND 2 | 2010年 / 102-104卷
关键词
Hill-climbing algorithm; Genetic algorithm; Tool path optimization; CNC;
D O I
10.4028/www.scientific.net/AMR.102-104.681
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The efficiency of CNC machining is greatly influenced by the tool path. A new hybrid algorithm for tool path optimization in CNC varied-shape grinding is presented in this paper. The algorithm was constructed by adding hill-climbing algorithm to nature genetic algorithm. In the new algorithm, the crossover operator and mutation operator were redesigned to enhance the local search capability and to accelerate convergence. Verification experiment demonstrated that the algorithm can reduce non-cutting movement of tool paths and improve machining efficiency significantly.
引用
收藏
页码:681 / 685
页数:5
相关论文
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