首页> 外文会议>2016 6th International Conference - Cloud System and Big Data Engineering (Confluence) >An efficient hybrid approach using differential evolution and flower pollination algorithm
【24h】

An efficient hybrid approach using differential evolution and flower pollination algorithm

机译:一种利用差分进化和花授粉算法的高效混合方法

获取原文
获取原文并翻译 | 示例

摘要

Evolutionary algorithm is a field of great interest to many researchers. Many new algorithms are being developed based on the biological processes in nature. Many variants of the existing algorithms are also being developed and the most optimal method is being researched. This paper gives a brief introduction to flower pollination algorithm (FPA) and an introduction to differential evolution (DE). Further, a description on the hybrid algorithm developed with DE and FPA is introduced and the subsequent results under process are also stated.
机译:进化算法是许多研究人员感兴趣的领域。基于自然界中的生物过程,正在开发许多新算法。现有算法的许多变体也正在开发中,并且正在研究最佳方法。本文简要介绍了花授粉算法(FPA)和差异进化(DE)。此外,介绍了使用DE和FPA开发的混合算法的说明,并说明了正在处理的后续结果。

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