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

作　　者：冯美贵[1] 史俊友[1] 

机构地区：[1]青岛科技大学机电工程学院,山东青岛266061

出　　处：《锻压技术》2007年第1期13-16,共4页Forging & Stamping Technology

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。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 

分 类 号：TP391.7[自动化与计算机技术—计算机应用技术]