摘要
针对存在表面缺陷原材料的矩形件优化排样问题是一个组合优化问题,提出了一种单亲遗传算法求解方法.研究了将矩形件在板材上的排样转换为遗传算法特定编码的方法,通过单亲遗传算法的遗传算子进行优化搜索,最终得到矩形件排样的最优次序和排放方式,用基于矩形件与板材内靠接临界多边形最低点的排样算法实现在表面存在缺陷原材料上的自动排样.排样实例表明,该优化排样算法行之有效,具有广泛的适应性.
The optimal packing of rectangular parts for damaged raw material is a combinatorial optimization problem. A method based on partheno-genetic algorithm （PGA） was thus proposed. It translated the packing of rectangular parts for damaged raw materials into a special coding of PGA, and the best sequence of the rectangular parts and their optimum rotation were achieved by optimal searching using the PGA genetic operators. Finally, automatic packing was realized by packing algorithm of the lowest point of inside no fit polygon of the rectangular part on damaged raw material. Experiments indicate that the algorithm is effective and practical.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2012年第9期1323-1326,共4页
Journal of Northeastern University(Natural Science)
基金
国家高技术研究发展计划项目(2008AA04Z135)
中央高校基本科研业务费专项资金资助项目(N100603002)
关键词
矩形件排样
组合优化
单亲遗传算法
遗传算子
内靠接临界多边形
packing of rectangular parts
combinatorial optlmization
partheno-geneticalgorithm
genetic operator
inside no fit polygon
