Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

1.4K
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
1.4K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

383
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...
383
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

85
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
85
Optimal Foraging00:48

Optimal Foraging

14.2K
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.
14.2K
Cluster Sampling Method01:20

Cluster Sampling Method

15.4K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
15.4K
Mathematical Modeling: Problem Solving01:29

Mathematical Modeling: Problem Solving

495
Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...
495

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Assembly and phylogenetic analysis of the mitochondrial genome of endangered medicinal plant Huperzia crispata.

Functional & integrative genomics·2023
Same author

Genomic diversity and evolution analysis of severe fever with thrombocytopenia syndrome in East Asia from 2010 to 2022.

Frontiers in microbiology·2023
Same author

Advances and challenges in biotechnological production of chondroitin sulfate and its oligosaccharides.

International journal of biological macromolecules·2023
Same author

lncRNA ARAP1-AS1 enhances proliferation and impairs apoptosis of lymphoma cells by sponging miR-6867-5p.

Cancer biomarkers : section A of Disease markers·2023
Same author

Pharmacological effects and mechanism of Kaihoujian Throat Spray (children's type) in the treatment of pediatric acute pharyngitis and tonsillitis.

Heliyon·2023
Same author

Computational Quantification of Cancer Immunoediting.

Cancer immunology research·2023
Same journal

Pyrolysis temperature shapes the structure and filtration capacity of spent-coffee-ground biochar for 1-μm microplastics and bacteria removal from wastewater.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Effect of cooling and cover material on the performance of a solar humidification-dehumidification system used for brine concentration.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Comparative multi-criteria assessment of decentralized wastewater treatment technologies for coastal tourist communities and island slaughterhouses: a design framework with uncertainty analysis for Latin America.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

An improved relative frequency method for flood season partitioning.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

Drivers of wastewater dynamics: a statistical analysis of England's large wastewater treatment works.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
Same journal

A review on modification of piezoelectric materials for wastewater treatment: mechanisms, applications, and future perspectives.

Water science and technology : a journal of the International Association on Water Pollution Research·2026
See all related articles

Related Experiment Video

Updated: Mar 16, 2026

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

13.6K

Estimating parameters of the variable infiltration capacity model using ant colony optimization.

JiaJia Yue1, Bo Pang1, ZongXue Xu2

  • 1College of Water Sciences, Beijing Normal University, No. 19 Xinjiekouwai Street, Beijing 100875, China

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|August 18, 2016
PubMed
Summary
This summary is machine-generated.

Ant Colony Optimization (ACO) effectively calibrates the Variable Infiltration Capacity (VIC) hydrological model, showing comparable results to the Shuffled Complex Evolution (SCE-UA) algorithm. This method offers a viable approach for improving hydrological model parameterization.

More Related Videos

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

2.2K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.1K

Related Experiment Videos

Last Updated: Mar 16, 2026

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

13.6K
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

2.2K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

2.1K

Area of Science:

  • Hydrology
  • Environmental Science
  • Computational Intelligence

Background:

  • Hydrological models are crucial for environmental problem-solving.
  • Parameter calibration is essential for applying these models effectively.
  • Evolutionary algorithms, including Ant Colony Optimization (ACO), are widely used for parameter estimation.

Purpose of the Study:

  • To apply an Ant Colony Optimization (ACO) algorithm with a grid partitioning strategy for calibrating the Variable Infiltration Capacity (VIC) hydrological model.
  • To evaluate the performance of the ACO algorithm in hydrological model calibration using two river basins in China.
  • To compare the effectiveness of ACO with the Shuffled Complex Evolution (SCE-UA) algorithm.

Main Methods:

  • Application of an Ant Colony Optimization (ACO) algorithm.
  • Utilizing a grid partitioning strategy within the ACO.
  • Calibration of the Variable Infiltration Capacity (VIC) model.
  • Comparison with the Shuffled Complex Evolution (SCE-UA) algorithm.

Main Results:

  • The Ant Colony Optimization (ACO) algorithm demonstrated capability in calibrating the VIC model.
  • Achieved Nash-Sutcliffe efficiency coefficients of 0.62 (calibration) and 0.65 (validation) for the Upper Heihe River basin.
  • Achieved Nash-Sutcliffe efficiency coefficients of 0.81 (calibration) and 0.86 (validation) for the Xitiaoxi River basin.
  • Results were comparable to those obtained using the Shuffled Complex Evolution (SCE-UA) algorithm.

Conclusions:

  • Ant Colony Optimization (ACO) is a suitable method for the parameter calibration of the VIC hydrological model.
  • The grid partitioning strategy enhances ACO's applicability in hydrological modeling.
  • Further research into ACO parameter optimization can broaden its use for more distributed hydrological models.