非线性连续消耗应急物资调度问题研究

发布时间：2018-06-22 09:31

本文选题：非线性连续消耗 + 需求紧迫度　；参考：《系统工程学报》2017年02期

【摘要】：构建了多应急点、多出救点和多阶段的应急物资调度模型,以最小化调度总费用和最大化应急点满意度为优化目标.以物资缺失损失系数和应急点满意度系数引入需求紧迫度到模型中,在优先供给需求紧迫度较高的应急点的同时,确保其他应急点的物资缺失损失是可接受的.设计一种结合改进粒子群算法和非梯度侧步爬山搜索机制的混合多目标粒子群算法(IMPSO HCS).实现多目标优化问题求解.通过仿真对比实验验证了上述模型的合理性与算法的有效性.仿真结果表明,该模型与算法在实现应急点满意度与应急物资调度费用两个目标协同的同时,获得了较高的满意度与较低的应急物资调度费用.
[Abstract]:An emergency material scheduling model with multiple emergency points, multiple rescue points and multiple phases is constructed, with the aim of minimizing the total cost of scheduling and maximizing the satisfaction of emergency points. The material loss coefficient and the satisfaction coefficient of the emergency point are introduced into the model to ensure that the material loss in other emergency points is acceptable while giving priority to the emergency point with high demand urgency. A hybrid multi-objective particle swarm optimization algorithm (IMPSO HCS) is designed which combines improved particle swarm optimization (PSO) and non-gradient side-step mountain climbing search mechanism. Multi-objective optimization problem solving is realized. The rationality of the model and the validity of the algorithm are verified by simulation and comparison experiments. The simulation results show that the model and the algorithm can achieve the coordination between the emergency point satisfaction and the emergency material scheduling cost, and at the same time obtain higher satisfaction and lower emergency material scheduling cost.
【作者单位】：沈阳建筑大学信息与控制工程学院;沈阳建筑大学管理学院;
【基金】：国家自然科学基金资助项目(51678375;61070024) 教育部人文社会科学研究规划基金资助项目(15YJA630001) 辽宁省自然科学基金资助项目(2015020603)
【分类号】：T18

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