智能优化算法的应用,以减少滑形建筑中的能源消耗
1School of Civil Engineering, Taiyuan University of TechnologyTaiyuan, Shanxi, China.
PloS one
|November 14, 2025
概括
一个新的混合PSO-鱼优化 (HPWO) 算法优化了滑形建筑的能源使用. 这种新的方法可以减少18.5%的能源消耗,提高建筑效率.
科学领域:
- 建筑工程工程 建筑工程
- 优化算法 优化算法
- 能源管理 能源管理
背景情况:
- 滑式建筑带来了重要的能源消耗挑战.
- 优化能源使用对于提高建筑效率和可持续性至关重要.
- 现有的方法缺乏全面的方法来管理复杂的滑形系统中的能量.
研究的目的:
- 引入一种新的混合PSO-鱼优化 (HPWO) 算法,以优化滑形结构中的能源消耗.
- 开发一个解决液压,登和振动系统的多目标优化模型.
- 评估HPWO算法在减少能源使用方面的有效性.
主要方法:
- 开发混合PSO-鱼优化 (HPWO) 算法,集成粒子群优化 (PSO) 和鱼优化算法 (WOA).
- 为滑形建筑系统制定一个全面的多目标优化模型.
- 对HPWO算法的性能与传统方法进行实验验证.
主要成果:
- 该HPWO算法显示能耗显著降低,平均为18.5%.
- 该算法通过动态调整有效地管理了液压,爬和振动系统的能量.
- 在能源效率方面,HPWO的性能优于传统的优化技术.
结论:
- 惠普沃算法提供了一种实用且有效的解决方案,用于优化滑形结构中的能源消耗.
- 这种混合方法通过结合全球勘探和当地开采来提高能源管理.
- 该研究为提高建筑业务效率和可持续性提供了有价值的工具.
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