首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:Dynamic Local Search for the Maximum Clique Problem
  • 作者:W. Pullan ; H. H. Hoos
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2006
  • 卷号:25
  • 页码:159-185
  • 出版社:American Association of Artificial
  • 摘要:In this paper, we introduce DLS-MC, a new stochastic local search algorithm for the maximum clique problem. DLS-MC alternates between phases of iterative improvement, during which suitable vertices are added to the current clique, and plateau search, during which vertices of the current clique are swapped with vertices not contained in the current clique. The selection of vertices is solely based on vertex penalties that are dynamically adjusted during the search, and a perturbation mechanism is used to overcome search stagnation. The behaviour of DLS-MC is controlled by a single parameter, penalty delay, which controls the frequency at which vertex penalties are reduced. We show empirically that DLS-MC achieves substantial performance improvements over state-of-the-art algorithms for the maximum clique problem over a large range of the commonly used DIMACS benchmark instances.
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有