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Grid Resource Allocation and Management Algorithm Based on Optimized Multi-task Target Decision

机译:基于优化多任务目标决策的网格资源分配与管理算法

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In order to solve the problems of poor efficiency and low accuracy of resource allocation in current grid resource allocation management, a grid resource allocation management algorithm based on optimized multi-task target decision-making is proposed. By introducing the multi-task target feature approach decision-making algorithm, the grid resource feature parameters and ideal points of allocation path are accurately calculated so as to obtain standardized selection parameters of multi-task target allocation vectors and accurately decide any allocation path of multi-target resources according to the selection parameters. At the same time, with the help of grid hierarchical model, the optimal management mode is adopted to realize the resource allocation and management of multi-task and multi-objective decision-making grid. Experiments show that The algorithm effectively improves the efficiency of resource allocation and improves accuracy, the accuracy of grid resource allocation management algorithm based on optimized multi-task decision-making is more than 40% higher than the traditional algorithm, and the resource allocation approach is smoother, effectively improving the efficiency of resource allocation management.
机译:为了解决电流电网资源分配管理中资源分配效率差和低精度的问题,提出了一种基于优化多任务目标决策的网格资源分配管理算法。通过引入多任务目标特征方法决策算法,准确地计算网格资源特征参数和分配路径的理想点,以获得多任务目标分配向量的标准化选择参数,并准确地确定多个分配路径 - 根据选择参数的条资源。同时,在网格层次模型的帮助下,采用了最佳管理模式来实现多任务和多目标决策网格的资源分配和管理。实验表明,该算法有效提高了资源分配的效率,提高了准确性,基于优化的多任务决策的网格资源分配管理算法的准确性大于传统算法的40〜%,以及资源分配方法更平滑,有效提高资源分配管理的效率。

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