【24h】

Adaptive beam search lookahead algorithms for the circular packing problem

机译:圆形填充问题的自适应波束搜索超前算法

获取原文
获取原文并翻译 | 示例
       

摘要

This paper addresses the circular packing problem (CPP), which consists in packing n circles C_i each of known radius rh ieN= {1, n}, into the smallest containing circle C. The objective is to determine the radius r of C as well as the coordinates (x_i, y_i)itCloNsh es oclevnetdeP reu osifn Cgf _Ptiw,.o adaptive algorithms that adopt a binary search to determine r, and a beam search to check the feasibility of packing n circles into C when the radius is fixed at r. A node of level e,e = 1,...,n, , of the beam search tree corresponds to a partial packing of Q circles of N into C. The potential of each node of the tree is assessed using a lookahcad strategy that; starting with the partial packing of the current node, assigns each unpacked circle to its maximum hole degree position. The beam search stops either when the lookahead strategy identifies a feasible packing or when it has fathomed all nodes. The computational tests on a set of benchmark instances show the effectiveness of the proposed adaptive algorithms.
机译:本文解决了圆形填充问题(CPP),该问题包括将n个已知半径为rhieN = {1,n}的圆C_i填充到最小的包含圆C中。目标是确定C的半径r作为坐标(x_i,y_i)itCloNsh es oclevnetdeP reu osifn Cgf _Ptiw,.o自适应算法,该算法采用二进制搜索来确定r,并且使用波束搜索来检查将半径固定为r时将n个圆填充到C中的可行性。波束搜索树的级别e,e = 1,...,n,的节点对应于N个Q圈到C中的部分填充。使用lookahcad策略评估树的每个节点的电势, ;从当前节点的部分装箱开始,将每个未装箱的圆分配到其最大孔度位置。当先行策略识别出可行的装箱或将所有节点发胖时,波束搜索就会停止。在一组基准实例上的计算测试表明了所提出的自适应算法的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号