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相关概念视频

Distributed Loads: Problem Solving01:21

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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...
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How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
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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.
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The stability of equilibrium configurations is an important concept in physics, engineering, and other related fields. In simple terms, it refers to the tendency of an object or system to return to its equilibrium position after being disturbed. The stability of an equilibrium configuration can be analyzed by considering the potential energy function of the system and examining its behavior near the equilibrium point.
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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
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相关实验视频

Updated: Jul 24, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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多目标可持续供应链网络优化基于混乱粒子-殖民地算法.

Tianrui Zhang1, Wei Xie1, Mingqi Wei2

  • 1School of Mechanical Engineering, Shenyang University, Shen Yang, China.

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概括

这项研究通过整合经济,环境和社会因素来优化可持续的供应链网络. 一个新的算法,混乱粒子殖民地 (PSCACO),有效地平衡了多个目标,以改善供应链管理.

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科学领域:

  • 运营研究 运营研究
  • 环境科学 环境科学
  • 管理科学 管理科学

背景情况:

  • 可持续的供应链网络设计需要平衡经济,环境和社会目标.
  • 现有的模型往往无法全面解决除碳排放之外的各种环境影响.
  • 多目标优化挑战包括解决方案质量评估和算法融合.

研究的目的:

  • 为可持续的供应链网络开发最佳设计.
  • 整合经济 (成本最小化),环境 (污染最小化) 和社会 (劳动力最大化) 的目标.
  • 为解决复杂的多目标供应链问题提出一种新的算法.

主要方法:

  • 为最大化供应链效率制定一个混合整数编程模型.
  • 构建一个多目标模糊关联函数来评估解决方案的满意度.
  • 混沌粒子殖民地 (PSCACO) 算法的开发和应用.

主要成果:

  • 与MOPSO,CACO和NSGA-II相比,PSCACO算法显示出更高的收性.
  • 该模型有效地整合了经济,环境 (包括废水,废物和固体废物排放) 和社会利益.
  • 拟议的方法验证了PSCACO在多目标优化方面的有效性和可行性.

结论:

  • PSCACO算法为优化可持续供应链网络提供了一个强大的解决方案.
  • 综合多种经济,环境和社会因素导致更全面的供应链设计.
  • 这项研究为可持续供应链管理挑战提供了新的可行解决方案.