首页    期刊浏览 2024年12月13日 星期五
登录注册

文章基本信息

  • 标题:Layout Optimization of Microsatellite Components Using Genetic Algorithm
  • 本地全文:下载
  • 作者:Mohammad Mukhayadi ; Irman Hermadi ; Soewarto Hardhienata
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2017
  • 卷号:15
  • 期号:1
  • 页码:341-350
  • DOI:10.12928/telkomnika.v15i1.3872
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 摘要:The placement of satellite components usually belongs to non-deterministic polynomial-time hard (NP-hard) problems that in terms of computational complexity is very difficult to solve. This problem is normally known as layout optimization problem (LOP). In this study the layout of microsatellite components has to meet the requirements set by mission payloads, launcher and spacecraft attitude control. The novel scheme is to find the various possibilities of optimal layout using genetic algorithms combined with order-based positioning technique (OPT). Each component has a given index and then placed in a container based on specific order of placements in accordance with a bottom-left (BL) algorithm that is already established. The placement order is generated by the genetic algorithm which explore various possibilities to obtain a sequence that brings the best solution.
  • 其他摘要:The placement of satellite components usually belongs to non-deterministic polynomial-time hard (NP-hard) problems that in terms of computational complexity is very difficult to solve. This problem is normally known as layout optimization problem (LOP). In this study the layout of microsatellite components has to meet the requirements set by mission payloads, launcher and spacecraft attitude control. The novel scheme is to find the various possibilities of optimal layout using genetic algorithms combined with order-based positioning technique (OPT). Each component has a given index and then placed in a container based on specific order of placements in accordance with a bottom-left (BL) algorithm that is already established. The placement order is generated by the genetic algorithm which explore various possibilities to obtain a sequence that brings the best solution.
  • 关键词:microsatellite;layout optimization;genetic algorithm
国家哲学社会科学文献中心版权所有