| 异质性伤员伤情演变下多阶段救援路径优化 |
| The multi-stage rescue route optimization under casualty heterogeneity and injury transfer |
| 摘要点击 14 全文点击 0 投稿时间：2023-02-20 修订日期：2024-09-09 |
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| 中文关键词 救援路径优化；匮乏成本；伤员异质性；马尔可夫链 |
| 英文关键词 rescue route optimization; deprivation cost; heterogeneous injured victims; Markov chain |
| 基金项目 国家自然科学基金项目（面上项目，重点项目，重大项目） |
| 作者 | 单位 | 邮编 | | 杨敏 | 合肥工业大学 | 230009 | | 李凯莉 | 合肥工业大学 | | | 王子旋 | 合肥工业大学 | | | 梁樑 | 合肥工业大学 | |
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| 中文摘要 |
| 重大自然灾害发生后，及时地救治伤员，降低伤员的痛苦程度是救援行动的关键。为了实现对伤员的高效救治，在救援资源有限的情况下，综合考虑伤员异质性以及伤情演变的拆分转运模式，引入匮乏成本函数对异质性伤员在等待救援时产生的痛苦程度进行量化，并利用马尔可夫链描述伤员伤情演变情况，构建以社会成本最小为目标的多阶段救援路径规划模型。最后，以雅安地震为案例，设计带有交叉和变异算子的混合蚁群算法对模型进行求解，得到不同阶段异质性伤员的转运数量和救援车辆路径规划方案。实验结果表明，本文提出的模型和算法能够获得伤员痛苦程度更低、效率更高的应急救援方案。 |
| 英文摘要 |
| After a major natural disaster, the key to rescue operations is to treat the injured victims in time and reduce the suffering of the injured victims. Owing to limited rescue resources, this paper considers the heterogeneity and injured transfer of casualties in the split transport mode comprehensively to achieve casualties' efficient treatment. According to the deprivation cost function, the suffering degree of heterogeneous injured victims in the process of waiting for rescue is quantified, and the condition of injury transfer is described by Markov chain. The paper constructs a multi-stage rescue route planning model to minimize social cost. Ultimately, taking Ya'an earthquake as the case, the paper designs an improved ant colony optimization algorithm with crossover and mutation operators to solve the model, achieving the route planning scheme of rescue vehicles. The experimental results show that the proposed model and algorithm can obtain a less painful and more efficient emergency rescue plan for injured. |
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