基于Qpso算法应急资源调度应用论文

基于火成岩岩石学Qpso算法应急资源调度应用研究电子剪报
南寒水石摘要: 以连续性消耗应急过程为背景,运用量子行为粒子算法求解多目标的应急资源调度数学模型。考虑施救成本费用和因施救不及时造成损失的构造模型的目标函数。针对该模型的特点,设计量子粒子算法求解方法和步骤,用数值算例验证了所建立模型的合理性及量子粒子算法的可行性和有效性。
abstract a multi-objective emergency-resource scheduling model is established in the continuous consumption emergency system. considering rescue costs and the losses caused by not be rescued in timethe objective function of the model is designed with these two sides. according to the characteristic of the modelwap模拟器, the solving procedure and its steps are based on quantum-behaved particle swarm algorithm. a data example verifies the rationality of the model and the feasibility and the validity of using the quantum-behaved particle swarm optimization.
关键词: 应急资源;连续消耗;量子行为粒子优化算法;整数规化
key words emergency resources对地观测中心continuous consumptionquantum-behaved particle swarm optimizationinteger programming腺鳞癌

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标签:算法   粒子   量子   应急   模型   资源   调度
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