[2] [2] ZHONG T X, CHEN J C. A hybrid-coded genetic algorithm based optimisation of non-productive paths in CNC machining［J］. The International Journal of Advanced Manufacturing Technology, 2002, 20(3): 163-168.

[3] [3] HAN G C, NA S J. Global torch path generation for 2D laser cutting process using simulated annealing［J］. Intelligent Automation & Soft Computing, 1998, 4(2): 97-108.

[4] [4] KIM Y, GOTOH K, TOYOSADA M. Global cutting-path optimization considering the minimum heat effect with microgenetic algorithms［J］. Journal of Marine Science and Technology, 2004, 9(2): 70-79.

[5] [5] DEWIL R, VANSTEENWEGEN P, CATTRYSSE D. Sheet metal laser cutting tool path generation: Dealing with overlooked problem aspects［J］. Key Engineering Materials, 2015, 639: 517-524.

[6] [6] PETUNIN A A, STYLIOS C. Optimization models of tool path problem for CNC sheet metal cutting machines［J］. IFAC-PapersOnLine, 2016, 49(12): 23-28.

[7] [7] CHENTSOV A G, CHENTSOV P A, PETUNIN A A, et al. Model of megalopolises in the tool path optimisation for CNC plate cutting machines［J］. International Journal of Production Research, 2018, 56(14): 4819-4830.

[13] [13] ARORA J, KHATTER K, TUSHIR M. Fuzzy c-means clustering strategies: A review of distance measures［C］//HODA M, CHAUHAN N, QUADRI S, et al. Software engineering. Singapore: Springer, 2019: 153-162.

[15] [15] YUAN G L,XUE Y G, LIANG Q J. The design of adaptive immune vaccine algorithm［J］. Advanced Materials Research, 2011, 308/309/310: 1094-1098.

[16] [16] PARK J Y, SEO J J. A study on cutting path optimization using genetic algorithm［J］. Journal of Ocean Engineering and Technology, 2009, 23(6): 67-70.