首页    期刊浏览 2024年12月01日 星期日
登录注册

文章基本信息

  • 标题:Recent Advances in Nature Inspired Swarm Metaheuristic Algorithms
  • 本地全文:下载
  • 作者:Sakhi S Anand ; Deepa S S
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:11
  • 页码:465-470
  • DOI:10.35629/5252-0311245252
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Nature has always supplied solutions to a variety of issues that we face.Computational Intelligence includes a number of nature-inspired strategies for solving various complex computing challenges. Ant Colony Algorithm, Particle Swarm Optimization, Artificial Bee Colony Algorithm, and other inspired algorithms have been proved to be effective in finding good(not optimal) solutions to many NPComplete Problems. The effectiveness of these challenges inspired researchers to create solutions to several difficult problems by drawing inspiration from how nature tackles various problems in the environment. We review five swarm-based natureinspired algorithms proposed in the literature in this paper.
国家哲学社会科学文献中心版权所有