• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 18 Issue 4
Aug.  2005
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Article Contents
GAO Wei-zeng, ZHANG Bao-jian, CHEN Fu-gui, ZHU Jia-yi, . Optim ization ofCutting Path Based on Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2005, 18(4): 457-461.
Citation: GAO Wei-zeng, ZHANG Bao-jian, CHEN Fu-gui, ZHU Jia-yi, . Optim ization ofCutting Path Based on Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2005, 18(4): 457-461.

Optim ization ofCutting Path Based on Genetic Algorithm

  • Publish Date: 25 Aug 2005
  • Genetic algorithm was applied to optimize cutting path. Aimed at the optimization objective,i. e., a processing path should include every outline in each part and has the shortest distance, a nondeterministic polynomial cost function was designed and simplified to the optimization among points. In addition, a genetic encodingwas given, and nesting parts including 75 partswere simulated numerically. The simulation results show thatthe optimal length 37 129mm ofcutting path is 85% of the original length 43 622 mm so as to prove the validity of the proposed algorithm.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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