首页> 外文期刊>WSEAS Transactions on Information Science and Applications >An Analysis of Different Variations of Ant Colony Optimization to the Minimum Weight Vertex Cover Problem
【24h】

An Analysis of Different Variations of Ant Colony Optimization to the Minimum Weight Vertex Cover Problem

机译:最小权重顶点覆盖问题的蚁群优化算法的不同变异分析

获取原文
获取原文并翻译 | 示例
           

摘要

Ant colony optimization (AGO) has previously been applied to the Minimum Weight Vertex Cover Problem with very good results. The performance of the ACO algorithm can be improved with the use of different variations of the basic Ant Colony System algorithm, like the use of Elitism, Rank based approach and the MinMax system. In this paper, we have made an analysis of effectiveness of these variations applied to the Minimum Weight Vertex Covering Problem for different problem cases. This analysis is done by the observation of several properties of acquired solutions by these algorithms like best found solution, average solution quality, dispersion and distribution of solutions.
机译:蚁群优化(AGO)先前已应用于“最小权重顶点覆盖问题”,并取得了很好的效果。可以通过使用基本蚁群系统算法的不同变体来提高ACO算法的性能,例如使用Elitism,基于秩的方法和MinMax系统。在本文中,我们对不同问题情况下应用于最小权重顶点覆盖问题的这些变化的有效性进行了分析。通过使用这些算法观察获得的溶液的若干属性(例如最佳发现的溶液,平均溶液质量,溶液的分散性和分布)来进行分析。

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