基于进化游戏和遗传算法,优化建筑安全资源配置
Junlong Peng1, Qi Zhang2, Yue Feng1
1School of Transportation Engineering, Changsha University of Science and Technology, Changsha, 410114, China.
Scientific reports
|October 10, 2023
概括
这项研究使用进化游戏理论和遗传算法来优化建筑中的安全资源分配. 调查结果显示,遗传算法为提高项目安全性能提供了优越的数据驱动价值.
科学领域:
- 建设管理建设管理.
- 游戏理论 游戏理论
- 运营研究 运营研究
背景情况:
- 有效的安全资源分配对于建筑项目的性能至关重要.
- 心理健康在建筑领域日益重要,需要先进的分析方法.
- 领导者-成员交流 矛盾影响建筑团队内的安全动态.
研究的目的:
- 开发一个整合进化游戏理论和遗传算法的分析模型.
- 量化影响建筑安全性能的因素,并确定约束因素.
- 为了比较不同安全资源分配策略的有效性.
主要方法:
- 在建筑工地内分析上级下级关系.
- 游戏模型和回报矩阵的开发.
- 将遗传算法与复制器动态集成为优化.
- 通过调整关键因素来模拟各种建筑场景.
主要成果:
- 基因算法提供比手动或预设方法更准确的安全资源分配值.
- 该模型有效量化了安全风险,心理回报和道德认同的影响.
- 模拟结果为优化安全性能提供了精确的参考值.
结论:
- 结合进化游戏理论和遗传算法模型,提高了安全资源分配的准确性.
- 这种方法提供了一种数据驱动的方法来提高建筑安全性能.
- 该模型为在动态建筑环境中管理安全提供了有价值的见解.
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