论文标题
使用meta-heuristics算法求解在智能网格中应用于IoT的MKP：平行处理的角度
Solving MKP Applied to IoT in Smart Grid Using Meta-heuristics Algorithms: A Parallel Processing Perspective
论文作者
论文摘要
南非的电力价格上涨以及由于电网超负荷而迫在眉睫的负载威胁导致需求侧管理（DSM）等设备（如智能电网）。要使智能电网达到高峰，需要优化其能源管理控制器（EMC）系统。在本文中研究了用于DSM的当前解决方案和多重背包问题（MKP）的优化解决方案，以发现常见DSM模型的当前状态。还建议以迭代离散花授粉算法（IDFPA）的形式出发的其他NP硬性问题以及通过并行化优化形式的未来可伸缩性选项。
Increasing electricity prices in South Africa and the imminent threat of load shedding due to the overloaded power grid has led to a need for Demand Side Management (DSM) devices like smart grids. For smart grids to perform to their peak, their energy management controller (EMC) systems need to be optimized. Current solutions for DSM and optimization of the Multiple Knapsack Problem (MKP) have been investigated in this paper to discover the current state of common DSM models. Solutions from other NP-Hard problems in the form of the iterative Discrete Flower Pollination Algorithm (iDFPA) as well as possible future scalability options in the form of optimization through parallelization have also been suggested.
