求解汽车电子系统设计中软件-单片机分配问题的拉格朗日方法

Jagath Weerasinghe, M. Nagamatu
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摘要

本文研究了汽车电子系统设计中软件与单片机的分配问题。由于汽车电子系统的复杂特性,这是一个困难的优化问题;此外,相互冲突的约束和设计师偏好会使问题变得更加困难。为了解决这一组合优化问题,我们提出了一种基于拉格朗日方法的组合优化方法。实验结果表明,该算法能有效地找到可行解。我们还介绍了拉格朗日方法的短期记忆和长期记忆。有几种方法可以整合短期记忆和长期记忆。我们在实验中考察了这些整合方式,并确定了最有效的整合方式。当我们使用这种有效的积分方法时,可以进一步提高拉格朗日方法的效率。
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Lagrangian method for solving Software-MCU assignment problem in car electronic system design
In this paper, we address the Software-MCU (Micro Controller Unit) assignment problem in car electronic system design. This is a difficult optimization problem due to complex characteristics of the car electronic system; further, conflicting constraints and designer preferences make the problem more difficult. In order to solve this combinatorial optimization problem, we propose a method which is based on the Lagrangian method. Experimental results show that the search can effectively find the feasible solutions. We also introduce short term and long term memories to the Lagrangian method. There are several ways of integrating the short term and long term memories. We examine these ways of integration in the experiments, and decide the most effective one. When we use this effective integration method, we can improve the efficiency of the Lagrangian method further.
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