• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Civil Engineering and Science >A Multi-objective Approach to design Seismic Networks using a Genetic Algorithm
【24h】

A Multi-objective Approach to design Seismic Networks using a Genetic Algorithm

机译：用遗传算法设计地震网络的多目标方法

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Most of the real world optimization problems are naturally multi-objective problems. In order to simplify the solution, many of them are modelled as mono-objective problems. The purpose of this research is to design a seismic network to maximize the warning time of a particular city; that is, the gap between the time when the alert is launched and the arrival time of the disaster, and minimizing the number of seismic stations in the network. To attack this multi-objective optimization problem, it is proposed to turn it into a mono-objective constrained problem and solve it with a simple genetic algorithm. As a case study, it was considered the region of the State of Guerrero, Mexico, where the seismic network could take place. The main disasters targeted in this paper are earthquakes, but this research can be extended easily to alert systems of tsunamis or volcanic eruptions, for the positioning of telecommunications antennas, etc.
机译：现实世界中的大多数优化问题自然都是多目标问题。为了简化解决方案，将其中许多建模为单目标问题。本研究的目的是设计一个地震网络，以最大化特定城市的预警时间。即，发出警报的时间与灾难的到达时间之间的差距，以及使网络中的地震台数最小化。为了解决这个多目标优化问题，提出将其转化为一个单目标约束问题，并通过简单的遗传算法对其进行求解。作为案例研究，它被认为是墨西哥格雷罗州可能发生地震网络的地区。本文针对的主要灾害是地震，但是可以轻松地将这项研究扩展到海啸或火山喷发警报系统，电信天线的定位等。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号