基于多目标多元算法的智能建筑负荷调度

Jiangyong Liu, Jiankang Liu, Lv Fan, Lingzhi Yi, Huina Song, Qingna Zeng
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引用次数: 2

摘要

在智能建筑负荷调度的多目标问题中,针对多目标优化算法中如何选择Pareto边界方案的问题,将现有的最优方案机制与多目标多宇宙算法相结合,对智能建筑负荷调度进行优化。在更新宇宙位置时改变了更新机制,在算法的迭代过程中省去了校正编码的过程,降低了计算复杂度。通过住宅负荷优化调度实验,验证了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Building Load Scheduling Based on Multi-Objective Multi-Verse Algorithm
In the multi-objective of intelligent building load scheduling, aiming at the problem of how to select Pareto frontier scheme for multi-objective optimization algorithm, the current optimal scheme mechanism combined with multi-objective multi-verse algorithm is used to optimize the intelligent building load scheduling. The update mechanism is changed in updating the position of the universe, and the process of correction coding is omitted in the iterative process of the algorithm, which reduces the com-putational complexity. The feasibility and effectiveness of the proposed method are verified by the optimal scheduling experiments of residential loads.
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