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基于蚂蚁算法的电子元器件位置优化 被引量:2

THE OPTIMAL PLACEMENT OF ELECTRONIC COMPONENTS BASED ON ANT ALGORITHM
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摘要 首先介绍了基本蚂蚁算法原理和改进的蚂蚁算法,即最大-最小蚂蚁算法,根据传热学原理用微元体热平衡法建立了电子系统热分析求解温度场的数学模型,并采用高斯-赛德尔迭代法求解热平衡方程组,通过仿真实验证明用蚂蚁算法来优化电子元件的布局能够显著降低最大温度值,并提高了系统的可靠性。 An improved ant colony system (ACS) Max-Min Ant System'(MMAS) is introduced and a mathematical model for evaluating the components' temperature in a board of electronic devices is also given. The model was given using the thermal equation of microelement units. Gauss-Seidel iterative technique was employed to solve the linear equations set. Through an example, the placement of electronic components or devices is optimized with the MMAS. The simulation results show the temperature stress was reduced and the reliability was improved greatly. In addition, the steady temperature field of the components in PCB was also analyzed with the thermal analysis software Flotherm, the results show the model and algorithm for optimizing the components layout were effectual.
作者 李晔 朱国玺
出处 《陕西科技大学学报(自然科学版)》 2006年第6期115-119,共5页 Journal of Shaanxi University of Science & Technology
基金 国家自然科学基金资助项目(59493300) 教育部博士点基金资助项目(9800462)
关键词 蚁群算法 热平衡方程 高斯-赛德尔迭代法 优化布局 Max-Min Ant System thermal equations of microelement units Gauss-Seidel iterative method placement optimization
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参考文献4

  • 1李晓明,高泽溪,吕善伟.模拟退火在电子元件位置优化上的应用[J].系统工程与电子技术,1998,20(7):77-80. 被引量:2
  • 2Marco Dorigo,Thomas Stutzle.The Ant Colony Optimization Metaheuristic:Algorithms,Applications,and Advances[M].Kluwer Academic Publishers,2002.
  • 3T Stutzle,H Hoos.Improvements on the Ant System:Introducing MAX-MIN Ant System[C].Proceedings of the International Conference on Artificial Neural Networks and Genetic Algorithms,Springer Verlag,Wien,1997,245~249.
  • 4Jing Lee.Thermal Placement Algorithm Based on Heat Conduction Analogy[J].IEEE Transactions on Components and Packaging Technologies,2003,26(2):473~482.

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