计算机集成制造系统 ›› 2017, Vol. 23 ›› Issue (第10): 2128-2135.DOI: 10.13196/j.cims.2017.10.006

• 产品创新开发技术 • 上一篇    下一篇

基于量子进化算法的多轮廓路径优化

王铮1,杨卫波1,2,王万良1+,张景玲3   

  1. 1.浙江工业大学计算机科学与技术学院
    2.温州大学物理与电子信息工程学院
    3.浙江工业大学特种装备制造与先进加工技术教育部重点实验室
  • 出版日期:2017-10-31 发布日期:2017-10-31
  • 基金资助:
    国家自然科学基金资助项目(61572438,61402409);浙江省自然科学基金资助项目(LQ14F030005);2017年度浙江省公益性技术应用研究计划资助项目(2017C31072)。

Path optimization for multi-contour based on quantum evolutionary algorithm

  • Online:2017-10-31 Published:2017-10-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.61572438,61402409),the Natural Science Foundation of Zhejiang Province,China(No.LQ14F030005),and the 2017 Public Welfare Technology Application Research Program of Zhejiang Province,China(No.2017C31072).

摘要: 针对多轮廓样片加工快进路径优化问题,提出一种改进的量子进化算法。算法设计了基于二维量子位概率幅矩阵模型的快进路径编码方法,实现了由该模型引导的全局搜索,能直接生成样片加工的顺序序列,解码效率高;利用多轮廓加工最优子结构的特征,设计了基于动态规划法的个体适应度评价方法;新的动态旋转角的量子更新策略增强了种群的全局搜索能力。通过标准算例仿真和算法对比实验结果,验证了所提算法的可行性和有效性。

关键词: 多轮廓加工, 快进路径, 量子进化算法, 旋转角, 动态规划法

Abstract: To solve the optimization problem of fast forward path for multi-contour processing,an Improved Quantum Evolutionary Algorithm (IQEA) was proposed.The coding method of fast forward path based on two-dimensional Qubit Measurement Model (QMM) was designed,and the global searching guided by QMM was realized to generate the machining sequence of multi-segment.The decoding efficiency was higher in IQEA.By using the optimal sub-structure of multi-contour processing,the evaluation method of individual fitness based on dynamic programming algorithm was designed.The global searching ability of population was enhanced by the new dynamic rotation angle in quantum updating strategy.The simulation results and comparative experiments on classic benchmarks demonstrated the feasibility and effectiveness of the presented IQEA.

Key words: multi-contour processing, fast forward path, quantum-inspired evolutionary algorithm, rotation angle, dynamic programming algorithm

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