基于新型混合交叉运营商的增强NSGA-II算法,以优化Fenhe水库运营的供水和生态
Qinglai Xiong1, Ling Dong1, Hu Chen1
1College of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Scientific reports
|December 31, 2024
概括
本研究引入了一种新型混合交叉运营商 (SBAX),以增强非主导排序遗传算法-II (NSGA-II) 进行水库运行优化. 改进的算法显著提高了融合效率,并优化了供水和生态运营,减少了废水.
科学领域:
- 水资源管理水资源的管理.
- 计算智能是一种计算智能.
- 优化算法的优化算法
背景情况:
- 优化水库运行对于可持续的水资源管理至关重要.
- 现有的算法面临着局部融合和勘探开发平衡的挑战.
- 双目标优化问题需要复杂的方法来获得有效的解决方案.
研究的目的:
- 开发一种新的混合交叉运算符,即模拟二进制和改进的算术交叉 (SBAX),用于增强NSGA-II算法.
- 提高水库运营中双目标优化问题的融合和解决质量.
- 应用和验证增强的NSGA-II算法,用于协作供水和生态运营优化.
主要方法:
- 提出了一个混合交叉运算符 (SBAX),结合模拟二进制交叉 (SBX) 和改进的算术交叉.
- 将SBAX运营商集成到非主导排序遗传算法-II (NSGA-II) 中.
- 评估了使用生成和逆转生成距离的融合,并将该方法应用于Fenhe水库运营.
主要成果:
- 与SBAX运营商一起使用的NSGA-II算法,与传统的NSGA-II相比,显示了14.25-41.95%的更高的融合效率.
- 使用SBAX增强的NSGA-II,水库运行指数显著改善.
- 最佳策略减少了每年平均水废弃量11.2-14.52万立方米3.
结论:
- 新的SBAX运算符有效地增强了NSGA-II算法用于双目标优化.
- 拟议的方法为可持续的水库管理和运营提供了一种优越的方法.
- 这项研究为通过先进的计算技术优化水资源提供了宝贵的贡献.
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