使用群体智能在受灾地区寻找安全的路径和位置

Anshul Karasi, A. Rathod
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引用次数: 1

摘要

本文提出了一种基于蚁群智能(SI)的蚁群智能模型。该模型可用于在国家救援和救灾队伍可能需要一段时间才能到达的受灾地区找到通往安全地点的安全路径。被困的代理人(受害者)以某种方式自己设法到达安全地点,他们所产生的信息(例如,定期的GPS日志)被用来寻找可以向被困在受灾地区的其他代理人建议的路径。这是通过手机通过网络服务完成的。这项技术使大量的人能够自己到达安全地点,这有助于正在进行的国家救援和救灾行动。通过跟踪GPS日志跟踪创建的路径可用于创建新路径,这些路径是以前创建的路径的混合。将考虑现实生活中的约束,如安全区域的容量,路径等。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Finding safe path and locations in disaster affected area using Swarm Intelligence
In this paper, a model - which uses Swarm Intelligence (SI) through the behavior of Ants is proposed. The model can be used to find safe paths to safe locations in such disaster-affected areas where the state rescue and relief teams may take some time to reach. The information generated (e.g., GPS logs at regular intervals) by stranded agents (victims), who have somehow managed on their own to reach safe locations, is used to find paths that can be suggested to other agents stranded in the disaster-affect areas. This is done through mobile-phones via web enabled services. The technique allows a large number of people to reach the safe locations on their own, which aids the ongoing state rescue and relief operations. Paths created by following the GPS log traces can be used to make new paths which are the hybrids of the previous paths created. Real life constraints will be considered such as capacity of safe areas, paths etc.
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