基于Qpso算法的应急资源调度应用研究

Application Research of Emergency Resources Scheduling Based on Quantum-behaved Particle Swarm Optimization

以连续性消耗应急过程为背景,运用量子行为粒子群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,设计量子粒子群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群算法的可行性和有效性。

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 time,the objective function of the model is designed with these two sides.According to the characteristic of the model,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.