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The Application of Convex Optimization to Load Optimal Allocation in a Single Workstation System

机译:凸优化在单工作站系统负荷优化分配中的应用

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摘要

The service quality of a workstation depends mainly on its service load, if not taking into account all kinds of devices' break-downs. In this article, an optimization model with inequality constraints is proposed, which aims to minimize the service load. A novel transformation of optimization variables is also devised and the copstraints are properly combined so as to make this model into a convex one, whose corresponding Lagrange function and the KKT conditions are established afterwards. The interior-point method for convex optimization is presented here as an efficient computation tool. Finally, this model is evaluated by a real example, from which conclusions are reached that the interior-point method possesses advantages such as faster convergeoce and fewer iterations and it is possible to make complicated nonlinear optimization problems exhibit convexity so as to obtain the optimum.
机译:如果不考虑各种设备的故障,工作站的服务质量主要取决于其服务负载。本文提出了一个具有不等式约束的优化模型,旨在最小化服务负载。还设计了一种优化变量的新颖变换,并适当地结合了约束约束,从而使该模型成为凸模型,随后建立了其对应的拉格朗日函数和KKT条件。这里提出了凸优化的内点方法,作为一种有效的计算工具。最后,通过一个实例对模型进行了评估,得出的结论是,内点法具有收敛速度快,迭代次数少等优点,可以使复杂的非线性优化问题表现出凸性,从而获得最优解。

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