一个改进的短暂搜索优化算法用于建筑能效优化和混合能量化应用程序
Thira Jearsiripongkul1, Mohammad Ali Karbasforoushha2, Mohammad Khajehzadeh3,4
1Research Unit in Advanced Mechanics of Solids and Vibration, Department of Mechanical Engineering, Thammasat School of Engineering, Faculty of Engineering, Thammasat University, Pathumthani, 12121, Thailand. jthira@engr.tu.ac.th.
Scientific reports
|July 31, 2024
概括
一个新的改进过渡搜索优化算法 (ITSOA) 提高了建筑物和混合系统的能源优化. 在基准测试和现实应用中,ITSOA的性能优于其他方法,证明了卓越的效率.
科学领域:
- 计算智能是一种计算智能.
- 优化算法 优化算法
- 可持续能源系统 可持续能源系统
背景情况:
- 传统的短暂搜索优化算法 (TSOA) 灵感来自电路动力学.
- 现有的优化方法在平衡勘探和开采方面面临挑战.
- 有效的优化对于降低建筑能耗和改进混合能源系统至关重要.
研究的目的:
- 引入和评估改进的暂时搜索优化算法 (ITSOA).
- 评估ITSOA在解决基准函数和优化建筑能源使用方面的有效性.
- 验证ITSOA在优化混合能源系统生产方面的能力.
主要方法:
- 通过将罗森布罗克的直接旋转技术集成到TSOA中,开发了改进的短暂搜索优化算法 (ITSOA).
- 在23个经典基准函数上测试了ITSOA与传统TSOA和其他元启发算法 (DMO,SHO,GA,MRFO,PSO) 相比.
- 应用ITSOA对单一和多目标建筑能源优化 (BEO) 问题,以尽量减少能源消耗.
主要成果:
- 在解决基准函数方面,ITSOA表现优于传统的TSOA和其他比较方法.
- 在单一和多目标建筑能源优化问题上,ITSOA实现了较低的成本函数值.
- 在帕雷托前线内,ITSOA有效地确定了多目标BEO的最佳解决方案,使用模糊的决策方法.
结论:
- 改进的暂时搜索优化算法 (ITSOA) 为复杂的优化任务提供了增强的功能.
- 与现有的方法相比,ITSOA提供了一种更有效和更优化的建筑能源优化方法.
- ITSOA显示出优化混合能源系统并为可持续能源解决方案做出贡献的巨大潜力.
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