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相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

680
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
680
Multimachine Stability01:25

Multimachine Stability

198
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:
198
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

84
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...
84
Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

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When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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2.6K
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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相关实验视频

Updated: Jul 25, 2025

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

Published on: December 9, 2012

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使用自适应加权遗传算法优化多阶段及时性运输整合问题.

Bowen Lv1, Bin Yang1, Ek Peng Chew2

  • 1Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai, China.

Annals of operations research
|June 26, 2023
PubMed
概括

本研究引入了一种新的方法,用于在国际航运中及时整合货物,特别是在小型的多批货物运输中. 拟议的算法优化了物流网络,提高了全球中断期间的效率和集装箱利用率.

科学领域:

  • 物流和供应链管理的物流和供应链管理.
  • 运营研究 运营研究
  • 运输科学 运输科学

背景情况:

  • 国际货物整合面临着小型,多批次货运的挑战,导致延误和容器容量未充分利用.
  • 由于COVID-19的流行,人们越来越需要及时,高效的国际多式联运.
  • 现有的物流网络很难有效地管理合多个来源和目的地 (OD).

研究的目的:

  • 定义和解决小型,多批量国际货物的多阶段定时性运输整合问题.
  • 加强物流运营之间的连接,并最大限度地利用集装箱容量.
  • 开发一个灵活和高效的算法,以优化国际多式联运网络.

主要方法:

  • 定义了一个多阶段的及时性运输整合问题,以分离多个OD.
  • 提出了一个两阶段的适应加权遗传算法,重点关注帕雷托前方空间和人口多样性.
  • 进行计算实验来分析参数相关性和算法性能.

主要成果:

  • 确定了参数相关性中的规律趋势,表明适当的设置会产生更好的结果.
  • 证实了大流行对不同运输方式市场份额的重大影响.
  • 通过与其他方法进行比较,证明了拟议方法的可行性和有效性.
关键词:
多个ODS的合.改进了基因算法改进.这就是COVID-19的原因.及时性 运输合并 运输合并总位利用率 总位利用率

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Last Updated: Jul 25, 2025

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结论:

  • 开发的算法有效地解决了小型多批次货运的及时货物整合的挑战.
  • 优化后勤网络导致连接性增加和集装箱利用率提高.
  • 这项研究为优化国际运输策略提供了宝贵的见解,特别是在应对流行病等全球事件时.