• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Comparing Evolutionary Programs and Evolutionary Pattern Search Algorithms: A Drug Docking Application
【24h】

Comparing Evolutionary Programs and Evolutionary Pattern Search Algorithms: A Drug Docking Application

机译：比较进化程序和进化模式搜索算法：药物对接应用程序

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Evolutionary programs (EPs) and evolutionary pattern search algorithms (EPSAs) are two general classes of evolutionary methods for optimizing on continuous domains. The relative performance of these methods has been evaluated on standard global optimization test functions, and these results suggest that EPSAs more robustly converge to near-optimal solutions that EPs. In this paper the authors evaluate the relative performance of EPSAs and EPs on a real-world application: flexible ligand binding in the Autodock docking software. The authors compare the performance of these methods on a suite of docking test problems. The authors' results confirm that EPSAs and EPs have comparable performance, and they suggest that EPSAs may be more robust on larger, more complex problems.

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