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

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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

84
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...
84
Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

489
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
489
Catalytically Perfect Enzymes01:07

Catalytically Perfect Enzymes

4.0K
The theory of catalytically perfect enzymes was first proposed by W.J. Albery and J. R. Knowles in 1976. These enzymes catalyze biochemical reactions at high-speed. Their catalytic efficiency values range from 108-109 M-1s-1. These enzymes are also called 'diffusion-controlled' as the only rate-limiting step in the catalysis is that of the substrate diffusion into the active site. Examples include triose phosphate isomerase, fumarase, and superoxide dismutase.
 
Most enzymes...
4.0K
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

153
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
153
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

306
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
306
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

98
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,...
98

You might also read

Related Articles

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

Sort by
Same author

Synergy of Built-In Electric Field and Oxygen Vacancies in Bi<sub>3</sub>O<sub>4</sub>Br@NiO<sub><i>x</i></sub> for Enhanced Low-Temperature H<sub>2</sub>S Gas Sensing.

Inorganic chemistry·2026
Same author

Design of efficient high-order immersed metagratings using an evolutionary algorithm.

Optics express·2026
Same author

From spikes to speech: NeuroVoc - A biologically plausible vocoder framework for auditory perception and cochlear implant simulation.

Hearing research·2025
Same author

Fe-Co dual-sites p-d orbital hybridization: Electronic restructuring for accelerated oxygen evolution kinetics.

Journal of colloid and interface science·2025
Same author

Applying causality to environmental security in Iraq.

Scientific reports·2025
Same author

AMaze: an intuitive benchmark generator for fast prototyping of generalizable agents.

Frontiers in artificial intelligence·2025
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: Jul 26, 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

13.0K

Evolutionary Algorithms for Parameter Optimization-Thirty Years Later.

Thomas H W Bäck1, Anna V Kononova2, Bas van Stein3

  • 1Leiden Institute of Advanced Computer Science, Leiden University, Netherlands t.h.w.baeck@liacs.leidenuniv.nl.

Evolutionary Computation
|June 20, 2023
PubMed
Summary
This summary is machine-generated.

This review highlights 30 years of evolutionary algorithms for parameter optimization, emphasizing the need for fewer, well-benchmarked algorithms and automated design over novel, nature-inspired methods.

Keywords:
Evolutionary computationevolutionary algorithmsnatural computingparameter optimization

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

Related Experiment Videos

Last Updated: Jul 26, 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

13.0K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.7K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Optimization

Background:

  • Evolutionary algorithms have significantly advanced parameter optimization over the past 30 years (1993-2023).
  • Key developments include covariance matrix adaptation evolution strategy, multimodal, surrogate-assisted, and multiobjective optimization.
  • Emerging algorithms like particle swarm optimization and differential evolution have also gained prominence.

Purpose of the Study:

  • To review major developments in evolutionary algorithms for parameter optimization from 1993 to 2023.
  • To critically assess the current trend of proposing numerous new algorithms.
  • To advocate for improved benchmarking and automated algorithm design.

Main Methods:

  • Literature review of evolutionary algorithms and their applications in parameter optimization.
  • Analysis of trends in algorithm development and benchmarking practices.
  • Discussion of automated algorithm design frameworks.

Main Results:

  • Significant progress in specialized areas like multimodal, surrogate-assisted, and multiobjective optimization.
  • The proliferation of new algorithms often lacks rigorous validation.
  • Automated algorithm design presents a promising future direction.

Conclusions:

  • There is a need to consolidate research efforts, focusing on fewer, robust algorithms.
  • Rigorous benchmarking is crucial for evaluating the utility of new optimization algorithms.
  • Automated algorithm design offers a path toward more systematic and effective optimization tool development.