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NGSA算法在不规则零件优化排样中的应用研究
Application of niching genetic simulated annealing algorithm in optimal layout for irregular part
【摘要】 对于二维不规则图形零件在排样区域上的最优排列,也就是对二维不规则图形的计算机自动排样算法进行优化问题。采用矩形包络算法、遗传模拟退火算法及小生境技术相结合,寻找排样件在排样时的最优次序及各自的旋转角度,然后采用基于“最低水平线”策略的启发式排样算法实现二维不规则图形零件自动排样,得到满意的优化排样结果。
【Abstract】 The irregular shape nesting problem in the given nest region of two-dimensional irregular graphics is to optimize the computer automated nest algorithm of irregular graphics.Rectangle enclosure algorithm,genetic simulated annealing algorithm and Niche are integrated to search the best sequence of the shaped parts and each part’s optimum rotation,and "the lowest horizontal algorithm" is used to complete the automatic layout of two dimensional irregular graphical parts in this paper,and the satisfactory results of optimal layout are obtained.
【关键词】 小生境;
遗传模拟退火算法;
不规则件;
优化排样;
【Key words】 niche; genetic simulated annealing algorithm; irregular part; optimal layout;
【Key words】 niche; genetic simulated annealing algorithm; irregular part; optimal layout;
- 【文献出处】 锻压技术 ,Forging & Stamping Technology , 编辑部邮箱 ,2007年01期
- 【分类号】TP391.7
- 【被引频次】7
- 【下载频次】187