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《Journal of Huazhong University of Science and Technology(Nature Science Edition)》 2009-08
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Holes machining path optimization using the improved genetic algorithm

Ling Ling Hu Yujin Wang Qingqing Zhang Zhengyi(College of Mechanical Science and Engineering,Huazhong Universityof Science and Technology,Wuhan 430074,China)  
An improved genetic algorithm is presented,where the parent-offspring competition tournament selection operator and the simulated annealing crossover and mutation operators are employed.The improved genetic algorithm can approach the optimal solution quickly,and trip out the trap of locally optimal solution.The holes machining path optimization mathematic model whose objective is the minimum manufacturing cost is established.The algorithm is used to search the shortest holes machining path.An example proves that the improved genetic algorithm can save 71.3% tools traveling cost.
【Fund】: 国家自然科学基金资助项目(50675078);; 国家高技术研究发展计划资助项目(2006AA04Z136)
【CateGory Index】: TH161.1;TP18
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