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

98
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...
98
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.2K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.2K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

59.3K
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).
59.3K
Frequency-dependent Selection01:21

Frequency-dependent Selection

22.2K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
22.2K
Differential Leveling01:12

Differential Leveling

281
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
281
Genetic Drift03:33

Genetic Drift

40.5K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
40.5K

You might also read

Related Articles

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

Sort by
Same author

Double-Zigzag dislocation design of porous 3D-printed carbon nanotube/sodium alginate/strontium ferrite skeletons toward absorption-dominant electromagnetic interference shielding.

Carbohydrate polymers·2026
Same author

Multidrug-Resistant <i>Escherichia coli</i> Antagonized by Luteolin: A Mechanistic Insight into Virulence Suppression and Gut Microbiota Restoration.

Microorganisms·2026
Same author

Graduate Student Evolutionary Algorithm: A Novel Metaheuristic Algorithm for 3D UAV and Robot Path Planning.

Biomimetics (Basel, Switzerland)·2025
Same author

Identification of diagnostic biomarkers of and immune cell infiltration analysis in bovine respiratory disease.

Frontiers in veterinary science·2025
Same author

Genetic parameters and identification of genomic regions and candidate genes associated with vaginal discharge score in Holstein cattle based on genomic and transcriptomic analyses.

Journal of dairy science·2025
Same author

HADHA promotes apoptosis and inflammatory response in bovine endometrial epithelial cells by regulating transcription and metabolism.

International journal of biological macromolecules·2025
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Aug 28, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

531

An Enhanced Differential Evolution Algorithm with Bernstein Operator and Refracted Oppositional-Mutual Learning

Fengbin Wu1, Junxing Zhang2, Shaobo Li2

  • 1State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang 550025, China.

Entropy (Basel, Switzerland)
|September 23, 2022
PubMed
Summary
This summary is machine-generated.

A new algorithm, BROMLDE, improves numerical optimization by integrating Bernstein operators and a novel learning strategy. This approach enhances convergence speed and avoids local optima in complex engineering problems.

Keywords:
Bernstein operatorCEC 2019 and 2020differential evolutionmutual learningrefracted oppositional learningrefracted oppositional-mutual learning

More Related Videos

Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat
06:03

Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat

Published on: September 20, 2016

14.6K
Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
08:18

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Published on: February 18, 2022

3.9K

Related Experiment Videos

Last Updated: Aug 28, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

531
Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat
06:03

Procedure for Adaptive Laboratory Evolution of Microorganisms Using a Chemostat

Published on: September 20, 2016

14.6K
Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
08:18

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Published on: February 18, 2022

3.9K

Area of Science:

  • Computational mathematics
  • Engineering optimization
  • Algorithm development

Background:

  • Differential evolution (DE) is widely used in engineering but struggles with parameter selection and local optima.
  • Complex numerical optimization problems pose challenges for standard DE methods, limiting their effectiveness.
  • Existing DE variants often require extensive parameter tuning and can still get trapped in suboptimal solutions.

Purpose of the Study:

  • To propose an improved differential evolution algorithm (BROMLDE) that addresses parameter selection and local optima issues.
  • To enhance the global optimization capability and convergence speed of differential evolution for complex problems.
  • To reduce the reliance on manual parameter tuning in numerical optimization.

Main Methods:

  • Introduced a novel Refracted Oppositional-Mutual Learning (ROML) strategy with stochastic switching between ROL and ML.
  • Developed a dynamic adjustment factor to improve the algorithm's ability to escape local optima.
  • Integrated a parameter-free Bernstein operator to enhance convergence performance.
  • Tested BROMLDE on 10 benchmark functions (CEC 2019, CEC 2020) and two engineering optimization problems.

Main Results:

  • BROMLDE demonstrated superior global optimization capability compared to existing methods on most benchmark functions.
  • The proposed algorithm achieved faster convergence speeds in solving complex numerical and engineering optimization problems.
  • The ROML strategy effectively balanced exploration and exploitation, reducing the risk of falling into local optima.
  • The Bernstein operator contributed to improved convergence performance without requiring parameter tuning.

Conclusions:

  • BROMLDE offers a significant advancement in numerical optimization, outperforming standard DE and its variants.
  • The combination of ROML and the Bernstein operator provides a robust framework for tackling challenging optimization tasks.
  • The algorithm's reduced parameter sensitivity and enhanced convergence make it a practical tool for engineering applications.