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相关概念视频

Heuristics01:21

Heuristics

90
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
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...
53
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

48
The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
48
Response Surface Methodology01:16

Response Surface Methodology

128
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:
128
Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

378
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...
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Parallel-Axis Theorem for an Area01:12

Parallel-Axis Theorem for an Area

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The moment of inertia is a fundamental concept in mechanical engineering that plays a significant role in designing rotationally symmetric objects such as flywheels, gears, and other mechanical systems. In this context, we will discuss the moment of inertia of a flywheel rotating about its centroidal axis and how it relates to the moment of inertia about an axis parallel to it.
For a flywheel approximated as a solid disc, consider an infinitesimal differential element with an arbitrary distance...
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相关实验视频

Updated: Jun 29, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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集成改进了哈里斯霍克斯优化,用于全球和工程优化优化.

Chengtian Ouyang1, Chang Liao1, Donglin Zhu2

  • 1School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou, 341000, China.

Scientific reports
|March 29, 2024
PubMed
概括
此摘要是机器生成的。

综合改进的哈里斯霍克斯优化 (IIHHO) 算法通过引入间歇性能量调节器和修改的矢量变化机制来增强群体智能. 这种新的方法提高了优化稳定性和逃避数字和工程任务本地最佳值的能力.

关键词:
减弱向量是一种减弱向量.卡达诺的配方 卡达诺的配方整合了改进的哈里斯霍克斯优化优化.间歇性能量调节器 间歇性能量调节器这是一次重型飞行.

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科学领域:

  • 计算智能是一种计算智能.
  • 群集情报 群集情报 群集情报
  • 优化算法 优化算法

背景情况:

  • 原来的哈里斯霍克斯优化 (HHO) 算法存在不稳定的优化效应,并倾向于卡在局部最佳状态中.
  • 现有的改进的HHO算法往往无法充分解决逃离局部最佳状态的问题.

研究的目的:

  • 提出一个综合改进的哈里斯霍克斯优化 (IIHHO) 算法,旨在克服原始HHO的局限性.
  • 为了增强算法的逃避局部优化的能力,并提高整体优化性能.

主要方法:

  • 引入了一个间歇性能量调节器来调整哈里斯的能量,模仿猎物行为并改进本地搜索.
  • 实现了一个修改后的复合函数,以创建一个更规律的减弱向量,解决随机向量不确定性.
  • 澄清了Levy飞行的搜索范围,以促进逃离当地最佳情况.
  • 整合了卡达诺公式功能来调整步骤大小,减轻固定步骤大小的限制并提高准确性.

主要成果:

  • 与CEC 2013测试集上大多数改进的进化算法相比,IIHHO算法显示出更高的合值.
  • 关于CEC 2022测试集的实验表明,IIHHO算法对最先进的算法保持了对最佳值搜索的强大能力.
  • 在工程实验中的应用证实了IIHHO算法在解决搜索空间问题的优势,通过最小成本计算证明了这一点.

结论:

  • 拟议的IIHHO算法有效地解决了原始HHO的停滞和局部最佳问题.
  • 对于数值优化任务和现实世界的工程应用,IIHHO算法显示出显著的前景.
  • 这些改进有助于更强大,更准确的优化过程.