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相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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相关实验视频

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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矿泉水合作社的最佳安排基于改进的遗传算法.

Yang Liu1, Zihang Zhang1, Dongxu Zhu2

  • 1School of Mechanical Electronic & Information Engineering, China University of Mining and Technology (Beijing), Beijing, 100083, China.

Heliyon
|March 21, 2024
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概括

本研究介绍了采矿水再利用的优化调度策略,大大降低了煤矿井的回收成本和时间. 新方法提高了采矿操作中的水资源管理效率.

关键词:
合作排行时间表.改进了基因算法改进.我的水是我的水.重复使用成本的成本.

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科学领域:

  • 采矿工程 采矿工程 采矿工程
  • 水资源管理 水资源管理
  • 优化算法 优化算法

背景情况:

  • 煤矿矿井面临的挑战是,水资源调度效率低下,运营成本高.
  • 有效地管理矿山水资源对于可持续性和经济可行性至关重要.

研究的目的:

  • 开发矿山水再利用的层次优化调度策略.
  • 为了尽量减少成本,并最大限度地提高矿山水资源的再利用效率.
  • 在优化问题中解决传统遗传算法的局限性.

主要方法:

  • 使用内蒙古采矿数据设计了一种层次优化调度策略.
  • 目标函数是为了最大限度的再利用效率和最小的成本而制定,并对水质和数量有限制.
  • 一个改进的自传自适应运算符,基于模拟化,被开发来克服遗传算法中的局部最佳值.

主要成果:

  • 改进的算法在加热季节减少了每月的回收成本10.34% (66,779.36元),在非加热季节减少了9.91% (61,469.28元).
  • 每月的恢复时间在加热季节减少了136.99小时,在非加热季节减少了154.52小时.
  • 该战略显示了矿井水回收成本和时间的显著降低.

结论:

  • 建议的层次优化调度策略有效地减少了矿井水回收成本和时间.
  • 模拟回火原理的集成提高了矿山水管理优化算法的性能.
  • 这种方法为提高煤矿用水资源利用的经济和运营效率提供了实际解决方案.