优化皮革裁剪加工空行程路径的混合算法

摘要

Tool-path airtime optimization during multi-contour processing in leather cutting is regarded as generalized traveling salesman problem. A hybrid intelligence algorithm was proposed. The improved genetic simulated annealing algorithm was applied to optimize multi-contour sequence,and then combining machining characteristics, the problem was changed into multi-segment map problem which is solved with dynamic programming algorithm. Traditional Boltzmann upgrade mechanism increases memory function and sets up dual-threshold to reduce the calculation amount while mainmining the premise of optimality. Individual fimess function based on multi-segment map optimal sub-structure was designed. The practical application and the standards tests show that the algorithm has satisfactory solution quality and convergence.%将皮革裁剪多轮廓加工空行程路径优化问题归结为广义旅行商问题,提出了一种求解问题的混合智能优化算法.用改进了的遗传模拟退火算法优化多轮廓排列序列,结合机床特征将问题转化为多段图最短路径问题,采用动态规划算法求解.对传统的Boltzmann更新准则进行改进,增加搜索记忆功能并设置双阈值,以在尽量保持最优性的前提下减少计算量;根据多段图最优子结构性质设计了个体适应度评价函数.实际应用效果和对标准问题的测试表明,新算法求解质量和收敛速度均有很大的提高.