基于粒子群优化/贪婪搜索算法的直升机救灾任务分配

Adriana Andreeva-Mori, Keiji Kobayashi, Masato Shindo
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引用次数: 14

摘要

在大规模灾难发生后,直升机救援任务的优化分配对于挽救许多生命至关重要。然而,目前该领域的实践大多以人为中心。日本宇宙航空研究开发机构一直在开发飞机操作决策支持系统,以便及时计划和执行救援任务。目前的研究重点是疏散任务,并探讨了粒子群优化与综合贪婪搜索在飞机资源管理中的潜力。提出了一种鲁棒粒子模型,该模型既能反映直升机的各种特性,又能反映疏散任务的特点。在数值模拟的基础上对粒子群优化参数进行修改和设置,并将确定的参数值用于2011年东日本大地震海啸实际数据的救灾任务分配优化。蜂群通过贪婪搜索初始化…
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Particle Swarm Optimization/Greedy-Search Algorithm for Helicopter Mission Assignment in Disaster Relief
In the immediate aftermath of a large-scale disaster, optimal helicopter rescue mission assignment is critical to saving many lives. However, the current practice in the field is mostly human centered. The Japan Aerospace Exploration Agency has been developing a decision support system for aircraft operation in order to promptly plan and execute rescue missions. The current research focuses on evacuation missions in particular and investigates the potential of particle swarm optimization with an integrated greedy search in aircraft resource management. A robust particle model is proposed that can reflect various helicopter properties as well as evacuation mission characteristics. Particle swarm optimization parameters are modified and set based on numerical simulations, and the values determined in this way are used in an optimization of disaster relief mission assignments based on real data obtained during the Great East Japan earthquake and tsunami of 2011. The swarm is initialized with a greedy-search ...
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