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

25
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...
25
Optimal Foraging00:48

Optimal Foraging

11.7K
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.
11.7K

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 author

Improvement of chicken plasma protein hydrolysate angiotensin I-converting enzyme inhibitory activity by optimizing plastein reaction.

Food science & nutrition·2020
Same author

Distribution and risk of mercury in the sediments of mangroves along South China Coast.

Ecotoxicology (London, England)·2020
Same author

Improving Tabletability of Excipients by Metal-Organic Framework-Based Cocrystallization: a Study of Mannitol and CaCl<sub>2</sub>.

Pharmaceutical research·2020
Same author

Protective Effects of the King Oyster Culinary-Medicinal Mushroom, Pleurotus eryngii (Agaricomycetes), Polysaccharides on β-Amyloid-Induced Neurotoxicity in PC12 Cells and Aging Rats, In Vitro and In Vivo Studies.

International journal of medicinal mushrooms·2020
Same author

Effect of grape seed extract on quality and microbiota community of container-cultured snakehead (Channa argus) fillets during chilled storage.

Food microbiology·2020
Same author

Stable and Efficient Single-Atom Zn Catalyst for CO<sub>2</sub> Reduction to CH<sub>4</sub>.

Journal of the American Chemical Society·2020

相关实验视频

Updated: May 8, 2025

New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

8.1K

两者:一个增强的多策略贝卢加优化数字优化问题.

Guoping You1, Zengtong Lu2,3, Zhipeng Qiu4

  • 1School of Information Engineering, Jiangxi Science and Technology Normal University, Nanchang 330000, China.

Biomimetics (Basel, Switzerland)
|December 27, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了增强的多策略白优化 (AMBWO),这是一个改进的算法,用于解决白优化问题.

关键词:
适应性 适应性 适应性贝卢加的优化优化 贝卢加的优化全球优化全球优化这是一种元启发式 (metaheuristic) 听证.

更多相关视频

Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.0K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.3K

相关实验视频

Last Updated: May 8, 2025

New Variations for Strategy Set-shifting in the Rat
09:45

New Variations for Strategy Set-shifting in the Rat

Published on: January 23, 2017

8.1K
Design and Optimization Strategies of a High-Performance Vented Box
14:23

Design and Optimization Strategies of a High-Performance Vented Box

Published on: June 9, 2023

1.0K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.3K

科学领域:

  • 人工智能的人工智能
  • 计算智能是一种计算智能.
  • 优化算法 优化算法

背景情况:

  • 白优化 (BWO) 是一种基于群体的元启发算法.
  • 在全球勘探中,BWO表现出局限性,并且可能会陷入局部最佳状态.

研究的目的:

  • 为了提高白优化算法的性能.
  • 提高全球勘探和开采能力.
  • 为了提高逃离当地最佳状态的能力.

主要方法:

  • 提议增强的多策略贝卢加优化 (AMBWO).
  • 为全球探索引入适应性人口学习.
  • 包含了轮盘平衡选择,以实现利用灵活性.
  • 实施一种适应性回避策略,以逃避局部最佳状态.

主要成果:

  • 在CEC2017和CEC2022测试套件上,AMBWO表现出卓越的性能.
  • 统计,趋同和稳定性分析证实了增强的能力.
  • 在工程优化问题上验证了适用性和优越性.

结论:

  • 拟议的AMBWO显著优于标准BWO和其他最先进的算法.
  • AMBWO提供了改进的全球搜索,利用和本地最佳避开.
  • 改进的算法显示出解决复杂的工程优化任务的巨大潜力.