首页> 外文会议>International Workshop on Combinatorial Algorithms >Maximum Clique Exhaustive Search in Circulant k-Hypergraphs
【24h】

Maximum Clique Exhaustive Search in Circulant k-Hypergraphs

机译:循环k超图的最大群体穷举搜索。

获取原文

摘要

In this paper, we discuss two algorithms to solve the maximum clique problem in circulant k-hypergraphs, and do an experimental comparison between them. The first is the Necklace algorithm proposed by Tzanakis, Moura, Panario and Stevens [11] which uses an algorithm to generate binary necklaces by Ruskey, Savage and Wang [10]. The second algorithm is a new algorithm which we call Russian Necklace that is based on a Russian doll search for maximum cliques by Östergard [6] with extra pruning that takes advantages of properties specific to circulant fc-hypergraphs. Our experiments indicate that the new algorithm is more effective for hypergraphs with higher edge density.
机译:在本文中,我们讨论了两种解决循环k超图的最大集团问题的算法,并进行了实验比较。第一个是Tzanakis,Moura,Panario和Stevens [11]提出的项链算法,该算法使用Ruskey,Savage和Wang [10]生成的二进制项链。第二种算法是一种新算法,我们称其为俄罗斯项链,该算法基于Östergard[6]对俄罗斯玩偶的最大派系搜索,并进行了额外修剪,从而充分利用了循环fc-hypergraph特有的特性。我们的实验表明,新算法对于具有更高边缘密度的超图更为有效。

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