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文章基本信息

  • 标题:Research of Embedded Hardware Optimization Design Algorithm
  • 本地全文:下载
  • 作者:Xuesong Yan
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:6
  • 出版社:IJCSI Press
  • 摘要:Embedded hardware design is important in real world applications, but with the increase of the hardware scale the traditional methods can not design them well. Cultural Algorithms are a class of computational models derived from observing the cultural evolution process in nature. Aiming at the disadvantages of basic Cultural Algorithms like being trapped easily into a local optimum, this paper improves the basic Cultural Algorithms and proposes a new algorithm to solve the overcomes of the basic Cultural Algorithms. The new algorithm keeps not only the fast convergence speed characteristic of basic Cultural Algorithms, but effectively improves the capability of global searching as well. We use our algorithm in circuit optimization design and relay volume optimization, the experiment results show our algorithm is effective for these problems.
  • 关键词:Cultural Algorithm; Optimization Design; Circuit Design; Evolutionary Computation
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