首页> 外文会议>International Conference on Artificial Intelligence and Education >The basic principle and application of ant colony optimization algorithm
【24h】

The basic principle and application of ant colony optimization algorithm

机译:蚁群优化算法的基本原理与应用

获取原文

摘要

Ant colony optimization algorithm(ACO) was recently proposed algorithm, it has strong robustness as well as good distributed calculative mechanism, and it is easy to combine with other methods, and the well performance has been shown on resolving the complex optimization problem. The TSP problem is chosen as example for introducing the basic principle of ACO, and several improvement algorithms are present for the problem of ACO. Applying this algorithm on function optimization problem, and the result expresses it gain optimization value very quickly, it is a viable and feasible method.
机译:蚁群优化算法(ACO)是最近提出的算法,它具有强大的鲁棒性以及良好的分布式计算机制,并且易于与其他方法结合,并在解决复杂优化问题上显示了井的性能。选择TSP问题作为引入ACO的基本原理的示例,以及ACO问题存在若干改进算法。应用该算法在功能优化问题上,结果表达了它非常快速地获得优化值,这是一种可行和可行的方法。

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