Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

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

103
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...
103
Decision Making: P-value Method01:09

Decision Making: P-value Method

5.7K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.7K
Response Surface Methodology01:16

Response Surface Methodology

279
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
279
Multimachine Stability01:25

Multimachine Stability

233
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
233
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

501
Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
501
SFG Algebra01:16

SFG Algebra

176
In Signal Flow Graph (SFG) algebra, the value a node represents is determined by the sum of all signals entering that node. This summed value is then transmitted through every branch leaving the node, making the SFG a powerful tool for visualizing and analyzing control systems.
Each node in an SFG corresponds to a variable, and the interactions between nodes are represented by branches with associated gains. When multiple branches lead into a node, the value at that node is the sum of the...
176

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same journal

AI-driven diagnosis of mpox using deep learning models.

PloS one·2026
Same journal

The impact of transparency and imitation over complex networks in strategic classification.

PloS one·2026
Same journal

Edge-intelligent safelink-V2X: A low-latency cooperative framework for real-time vulnerable road user protection.

PloS one·2026
Same journal

Loss of Fmr1 reorganizes the multi-elemental composition across tissues in Fragile X Syndrome mice.

PloS one·2026
Same journal

Exploring the predictability of distributed lag nonlinear models using SARS-CoV-2 wastewater-based surveillance in multiple communities in Alberta, Canada.

PloS one·2026
Same journal

NLOS/LOS identification with LightGBM ensemble.

PloS one·2026

相关实验视频

Updated: Sep 16, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K

基于模糊数学理论的多目标生产调度优化策略.

Heshuai Shen1

  • 1Zhengzhou Vocational College of Finance and Taxation, Zhengzhou, China.

PloS one
|July 10, 2025
PubMed
概括
此摘要是机器生成的。

模糊数学通过引入新的内核分配策略来增强生产计划. 混合算法显著提高了客户满意度,并加速了调度中的进化平衡.

更多相关视频

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

8.9K

相关实验视频

Last Updated: Sep 16, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

8.9K

科学领域:

  • 运营研究 运营研究
  • 模糊的数学 模糊的数学
  • 生产管理生产管理

背景情况:

  • 多目标的生产时间表带来了诸如冲突目标和不确定性等挑战.
  • 传统的优化算法在调度中的复杂性和模两可.
  • 模糊数学为提高调度效率和优化提供了一个潜在的解决方案.

研究的目的:

  • 引入和评估用于模糊数学调度的新型内核分配策略.
  • 分析模糊数学调度解决方案和内核分配之间的关系.
  • 为了将模糊调度与其他现有的调度方法进行比较.

主要方法:

  • 拟议的比例增益,加权边际和平均成本节约的核分配方法.
  • 分析模糊的数学调度解决方案及其与内核分配的连接.
  • 模糊数学调度与其他调度范式的比较研究.

主要成果:

  • 模糊的数学理论在22代中达到平衡,最高满意度为2.345.
  • 拟议的混合算法仅在3代实现了平衡.
  • 混合算法将最大客户满意度提高到2.445.5的水平.

结论:

  • 新型内核分配策略对于模糊的数学调度是有效的.
  • 混合算法显著提高了客户满意度,并加快了进化平衡.
  • 模糊数学,特别是混合方法,为复杂的生产计划提供了优越的解决方案.