改进了和搜索算法,以提高蒸过程优化的效率和质量.
Zhe Ding1,2, Haohao Zhang1,2, Hai Li1
1Key Laboratory of Green Process and Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
ACS omega
|August 14, 2023
概括
一个新的蒸和搜索算法 (DHSA) 通过优化设备和能源使用,显著降低了蒸生产成本. 这种智能优化方法可以在更短的计算时间和更好的稳定性下实现更高质量的解决方案.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 过程强化 过程强化
- 计算化学计算化学
背景情况:
- 工艺强化旨在通过优化设备尺寸和公用事业消耗来降低生产成本.
- 智能优化算法对于提高蒸效率和降低运营成本至关重要.
研究的目的:
- 为蒸过程开发一个先进的优化算法.
- 通过工艺强化,降低生产成本并提高蒸的效率.
主要方法:
- 开发了一个新的蒸和搜索算法 (DHSA),结合了自适应参数调整,轮盘选择和比率优化策略.
- 应用了DHSA来优化四种蒸情况:双列,三列,反应蒸和隔壁提取蒸柱.
主要成果:
- 与所有测试过的蒸模型中的现有算法相比,DHSA显著降低了年度总成本和计算时间.
- 对DHSA观察到的最高变化系数在10次并行计算中为1.25%,显示出高稳定性.
- 该算法展示了优越的解决方案质量,减少了计算时间,并提高了稳定性.
结论:
- DHSA提供了一种更有效,更稳定的方法来优化蒸过程.
- 这些发现表明,DHSA可以激发其他复杂化学过程的新优化策略.
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