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

Combinatorial Gene Control02:33

Combinatorial Gene Control

8.6K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.6K
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

790
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...
790
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations01:15

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

15
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...
15
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

117
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...
117
Optimal Foraging00:48

Optimal Foraging

12.5K
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.
12.5K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

60.0K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
60.0K

You might also read

Related Articles

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

Sort by
Same author

Deep learning assessment of fetal brain maturation on 3D ultrasound volumes in early-onset fetal growth restriction.

Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology·2026
Same author

Bilateral Transcranial Doppler Monitoring During Neonatal Cardiac Surgery; Guidance for Clinical and Scientific Use.

Paediatric anaesthesia·2025
Same author

Fetal brain development in fetal growth restriction using MRI: a systematic review.

BMC pregnancy and childbirth·2025
Same author

Introduction of ultra-high-field MR brain imaging in infants: vital parameters, temperature and comfort.

Neuroimage. Reports·2024
Same author

Introduction of Ultra-High-Field MR Imaging in Infants: Preparations and Feasibility.

AJNR. American journal of neuroradiology·2020
Same author

Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy.

Physics in medicine and biology·2020
Same journal

Computing Optimal Populations for Binary Problems using Logic Minimization.

Evolutionary computation·2026
Same journal

Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training.

Evolutionary computation·2026
Same journal

XCS for Sequential Perceptual Aliasing in Multi-Step Decision Making.

Evolutionary computation·2026
Same journal

A dynamic multi-objective evolutionary algorithm using dual-space prediction and surrogate-based sampling.

Evolutionary computation·2026
Same journal

Adapting MOEA/D to CMA-ES for Dealing with Ill-conditioned Multiobjective Problems.

Evolutionary computation·2026
Same journal

Editorial of the Special Issue: Parallel Problem Solving from Nature PPSN 2024 Extended Versions of Best Paper Candidates.

Evolutionary computation·2026
See all related articles

Related Experiment Video

Updated: Oct 10, 2025

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

13.1K

Uncrowded Hypervolume-Based Multiobjective Optimization with Gene-Pool Optimal Mixing.

S C Maree1, T Alderliesten2, P A N Bosman3

  • 1Amsterdam UMC, University of Amsterdam, The Netherlands Centrum Wiskunde & Informatica, Amsterdam, The Netherlands s.c.maree@cwi.nl.

Evolutionary Computation
|December 8, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces the uncrowded hypervolume (UHV) as a quality measure for multiobjective optimization, improving upon existing methods. A novel hybrid approach combining UHV-GOMEA with MO-GOMEA demonstrates superior performance in solving complex optimization problems.

Keywords:
Multiobjective optimizationblack-box optimizationhypervolume indicator

More Related Videos

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

5.1K
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.2K

Related Experiment Videos

Last Updated: Oct 10, 2025

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

13.1K
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

5.1K
Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology
06:24

Generic Protocol for Optimization of Heterologous Protein Production Using Automated Microbioreactor Technology

Published on: December 15, 2017

10.2K

Area of Science:

  • Multiobjective Evolutionary Algorithms (MOEAs)
  • Computational Optimization
  • Pareto Optimization

Background:

  • Domination-based MOEAs often stagnate when populations become non-dominated, hindering convergence to the Pareto set.
  • Hypervolume-based optimization shows promise but can lack selection pressure for dominated solutions.
  • Existing frameworks like Sofomore address this but may lose population-based advantages.

Purpose of the Study:

  • To reformulate Uncrowded Hypervolume Improvement (UHVI) into a direct quality measure (UHV) for approximation sets.
  • To develop and evaluate a new algorithm, UHV-GOMEA, for multiobjective optimization using UHV.
  • To compare UHV-GOMEA against existing domination-based and hypervolume-based methods and propose a hybrid approach.

Main Methods:

  • Reformulation of UHVI into the Uncrowded Hypervolume (UHV) quality measure.
  • Application of UHV within the Gene-Pool Optimal Mixing Evolutionary Algorithm (GOMEA) to create UHV-GOMEA.
  • Comparative analysis of UHV-GOMEA, Sofomore-GOMEA, and MO-GOMEA.

Main Results:

  • UHV-GOMEA effectively utilizes the grey-box properties of the problem for optimization.
  • The study identifies scenarios where domination-based versus hypervolume-based methods are preferable.
  • A hybrid approach combining MO-GOMEA and UHV-GOMEA significantly outperforms individual methods.

Conclusions:

  • The UHV measure provides a viable alternative for direct multiobjective optimization.
  • Hybridization of MOEAs can lead to improved performance by leveraging different algorithmic strengths.
  • The proposed UHV-GOMEA and its hybrid variant offer advanced solutions for complex multiobjective problems.