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

Optimization Problems01:26

Optimization Problems

123
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
123
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
Optimizing Chromatographic Separations01:15

Optimizing Chromatographic Separations

1.1K
Optimizing chromatographic separations is crucial for obtaining clean separations in a minimum amount of time. Optimization is required for several factors, including kinetic effects related to band broadening, plate height, capacity factor, and separation factor.
Band broadening refers to spreading solute bands as they travel through the column. This broadening can impact resolution. Plate height (H) represents the length required for one theoretical plate. A lower plate height corresponds to...
1.1K
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations

307
Gentamicin, an aminoglycoside antibiotic, is commonly administered via intermittent intravenous infusion to treat severe infections. An intermittent one-hour infusion of gentamicin, administered at eight-hour intervals, allows for precise control of plasma drug concentrations, minimizing toxicity while ensuring therapeutic efficacy. Pharmacokinetic principles govern the dynamics of plasma concentrations and can be mathematically described using specific equations.The plasma drug concentration...
307
Gaussian Elimination: Problem Solving01:30

Gaussian Elimination: Problem Solving

262
Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
262
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

381
Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
381

You might also read

Related Articles

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

Sort by
Same author

Genetic analysis of cold tolerance and high-altitude adaptation in Gannan indigenous Tibetan sheep through genome-wide scans.

BMC genomics·2026
Same author

The Role of Neuro-Immune Regulation in the Pathogenesis of Psoriasis.

Journal of immunology research·2026
Same author

Vulvar mass- Cutaneous IgG4-RD misdiagnosed as vulvar cancer.

Indian journal of dermatology, venereology and leprology·2025
Same author

Treatment of primary cutaneous amyloidosis with tofacitinib: preliminary observations from a single-arm clinical trial.

Clinical and experimental dermatology·2025
Same author

Distribution, uptake, and daily exposure of per- and polyfluoroalkyl substances in a paddy field: A growth cycle study.

Journal of hazardous materials·2025
Same author

Root metabolites regulated by FERONIA promote phosphorus-solubilizing rhizobacteria enrichment induced by Arabidopsis thaliana coping with phosphorus deficiency.

Microbiological research·2024
Same journal

In-silico combinatorial design and pharmacophore modeling of potent antimalarial 4-anilinoquinolines utilizing QSAR and computed descriptors.

SpringerPlus·2017
Same journal

Erratum to: Implication of Paris Agreement in the context of long-term climate mitigation goals.

SpringerPlus·2017
Same journal

Erratum to: Associations between adherence, depressive symptoms and health-related quality of life in young adults with cystic fibrosis.

SpringerPlus·2017
Same journal

Erratum to: Numerical method to compute acoustic scattering effect of a moving source.

SpringerPlus·2017
Same journal

Identifying appropriate protected areas for endangered fern species under climate change.

SpringerPlus·2017
Same journal

An Algorithm to detect balancing of iterated line sigraph.

SpringerPlus·2017
See all related articles

Related Experiment Video

Updated: Mar 15, 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

A split-optimization approach for obtaining multiple solutions in single-objective process parameter optimization.

Manik Rajora1, Pan Zou2, Yao Guang Yang3

  • 1George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA.

Springerplus
|September 15, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a split-optimization approach to find multiple process parameter combinations for improved production applicability. The method enhances optimization by dividing the search space, unlike current techniques that yield single solutions.

Keywords:
Electrochemical micro-machining (EMM)Genetic algorithm (GA)Multiple solutionsProcess parameter optimizationSplit-optimization

More Related Videos

Parametric Optimization Design Method for Friction Plates of Hydro-Viscous Clutches
10:58

Parametric Optimization Design Method for Friction Plates of Hydro-Viscous Clutches

Published on: July 22, 2025

738
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

6.2K

Related Experiment Videos

Last Updated: Mar 15, 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
Parametric Optimization Design Method for Friction Plates of Hydro-Viscous Clutches
10:58

Parametric Optimization Design Method for Friction Plates of Hydro-Viscous Clutches

Published on: July 22, 2025

738
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

6.2K

Area of Science:

  • Manufacturing Engineering
  • Process Optimization
  • Computational Intelligence

Background:

  • Current process parameter optimization techniques often yield a single solution, which may not be suitable for real-world production or may result in undesirable conditions.
  • The challenge lies in identifying diverse, applicable parameter sets that achieve desired performance indicators across different production scenarios.

Purpose of the Study:

  • To propose a novel split-optimization approach for single-objective process parameter optimization problems.
  • To enable the discovery of multiple optimal process parameter combinations, enhancing applicability in actual production.
  • To compare the efficiency of different search space splitting strategies for optimization.

Main Methods:

  • A split-optimization approach was developed by dividing the original search space into smaller sub-search spaces.
  • Genetic Algorithm (GA) was employed within each sub-search space for parameter optimization.
  • Two specific splitting strategies, cluster centers and hill and valley splitting, were evaluated against a baseline method of equal sub-space division.

Main Results:

  • The proposed split-optimization approach successfully generated multiple optimal process parameter combinations for electrochemical micro-machining.
  • The cluster centers and hill and valley splitting strategies demonstrated superior efficiency in partitioning the search space compared to equal division.
  • These advanced splitting methods facilitated the identification of a broader range of viable process parameters.

Conclusions:

  • The split-optimization approach offers a significant advancement over traditional methods by providing multiple, potentially more practical, optimal parameter sets.
  • The effectiveness of search space partitioning strategies, particularly cluster centers and hill and valley splitting, is crucial for successful multi-solution optimization.
  • This methodology enhances the flexibility and applicability of process parameter optimization in industrial settings.