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首页> 外文会议>IEEE Congress on Evolutionary Computation >Elite bias genetic algorithm for optimal control of double-skin facade
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Elite bias genetic algorithm for optimal control of double-skin facade

机译：精英偏置遗传算法用于双层外墙的最优控制

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The double-skin facade (DSF) is an intelligent building structure which has been widely used for high modern buildings in the recent years. The air channel between the exterior and interior glazing helps to insulate noise, improve thermal and visual comfort and is able to save energy through controllable air flow. To achieve the optimal outcome, an intelligent control strategy is needed. An improved numerical model of DSF based on Kuznik model is proposed and validated with full-scale experiment. Then the control problem is formulated as optimal control of a complex time-varying linear system with a non-linear objective. The elite bias genetic algorithm dedicated to solve this problem is developed and examined in simulation experiment. The result is very close to the best control possible and it improved the objective by up to 45% compared with the all-closed DSF without intelligent control.
机译：双层外墙（DSF）是一种智能建筑结构，近年来已广泛用于高级现代建筑。外部和内部玻璃之间的空气通道有助于隔离噪音，提高热舒适性和视觉舒适度，并能够通过可控制的气流来节省能源。为了获得最佳结果，需要一种智能控制策略。提出了一种基于库兹尼克模型的改进DSF数值模型，并进行了全面的实验验证。然后将控制问题表述为具有非线性目标的复杂时变线性系统的最优控制。在仿真实验中开发并检验了专门用于解决该问题的精英偏差遗传算法。结果非常接近最佳控制，并且与没有智能控制的全封闭DSF相比，其目标提高了多达45％。

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