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

作　　者：赵喜[1] 吴阳清[1] 李芳芳[1] 马倩[1] 张树梅[1] 于勇涛[1] 

机构地区：[1]云南师范大学商学院,昆明650106

出　　处：《价值工程》2012年第34期205-206,共2页Value Engineering

基　　金：2010年云南省教育厅科研项目"量子粒子群算法的应急资源调度应用"(2010Y156)

摘　　要：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.

关 键 词：应急资源 连续消耗 量子行为粒子群优化算法 整数规化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]