摘要
为更科学合理的解决应急资源的调度问题,根据连续性消耗应急问题的特点,建立了以出救活动总成本最小为目标的应急物资优化调度模型;针对模型的非线性特点,提出了基于混沌粒子群算法的应急资源调度模型并给出了求解方法;最后用算例验证了模型的合理性及算法的有效性。计算结果表明将混沌粒子群算法用于求解多约束条件的应急物资调度问题,可以在一定程度上克服基本粒子群算法容易陷入局部最优解的不足,算法收敛速度更快且精度更高,是解决应急资源调度路径问题的一种有效方法。
A more scientific and reasonable solution to the emergency resource scheduling problem, according to the characteristic of continuous consumption emergency problem, a optimization scheduling model is proposed aims at minimizing the total cost ; In view of the nonlinear characteristics, a chaotic particle swarm algorithm and its steps is proposed to improve the ability to find the best swarm and avoid being trapped in local minima; Finally, the practical example is presented to verify the validity of the model and algorithm, and it is shown that the algorithm is better than traditional particle swarm optimization to deal with emergency supplies scheduling problem with multi constraint conditions. It is an effective way to solve the problem of emergency resource scheduling path.
出处
《灾害学》
CSCD
2017年第2期185-189,共5页
Journal of Catastrophology
基金
2012年河南省高校科技创新人才项目"基于情景分析的应急物资保障能力评价研究"
关键词
调度
应急物资
连续型消耗
混沌粒子群
路径
scheduling
emergency supplies
continuous consumption
chaotic particle swarm
the path
