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

What is Natural Selection?01:32

What is Natural Selection?

129.7K
Natural selection is an evolutionary process in which individuals with survival-promoting traits reproduce at higher rates. These favorable traits become more common within a population or species. Naturally selected traits initially arise via random genetic mutations. In order for selection to occur, there must be variation within a population, the trait controlling the variation must be heritable, and there must be an evolutionary advantage for variation in the trait.
129.7K
Antibiotic Selection00:57

Antibiotic Selection

60.1K
Overview
60.1K
Types of Selection01:46

Types of Selection

45.3K
Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
45.3K
Frequency-dependent Selection01:21

Frequency-dependent Selection

24.2K
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.
24.2K
Natural Selection and Adaptation01:15

Natural Selection and Adaptation

1.4K
Natural selection, a fundamental concept in evolutionary biology, is the mechanism by which evolution is driven, favoring organisms that are best adapted to their environments. This process enhances their chances of survival and reproduction. Adaptation, a key outcome of this process, involves genetic modifications that optimize an organism's functionality under specific environmental challenges, such as extreme cold or thinner air at high altitudes.
Beyond physical adaptations,...
1.4K
Limits to Natural Selection01:38

Limits to Natural Selection

35.3K
Organisms that are well-adapted to their environment are more likely to survive and reproduce. However, natural selection does not lead to perfectly adapted organisms. Several factors constrain natural selection.
35.3K

You might also read

Related Articles

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

Sort by
Same author

Ensuring Fairness in Detecting Mild Cognitive Impairment with MRI.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2025
Same author

Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling.

BioData mining·2025
Same author

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.

Cell genomics·2025
Same author

Erratum: A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection.

Patterns (New York, N.Y.)·2025
Same author

AI as an accelerator for defining new problems that transcends boundaries.

BioData mining·2025
Same author

Preoperative anemia is an unsuspecting driver of machine learning prediction of adverse outcomes after lumbar spinal fusion.

The spine journal : official journal of the North American Spine Society·2025

Related Experiment Video

Updated: Feb 10, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.2K

A Probabilistic and Multi-Objective Analysis of Lexicase Selection and -Lexicase Selection.

William La Cava1, Thomas Helmuth2, Lee Spector3

  • 1Institute for Bioinformatics, University of Pennsylvania, Philadelphia, PA, 19104, USA lacava@upenn.edu.

Evolutionary Computation
|May 11, 2018
PubMed
Summary
This summary is machine-generated.

Lexicase selection, a parent selection method, is analyzed theoretically. New variants, -lexicase selection, improve performance in continuous error spaces, outperforming other strategies in regression problems.

Keywords:
Selectiongenetic programmingmulti-objective optimizationsymbolic regression.

More Related Videos

Multi-analyte Biochip MAB Based on All-solid-state Ion-selective Electrodes ASSISE for Physiological Research
08:03

Multi-analyte Biochip MAB Based on All-solid-state Ion-selective Electrodes ASSISE for Physiological Research

Published on: April 18, 2013

17.8K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

17.5K

Related Experiment Videos

Last Updated: Feb 10, 2026

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping
09:41

Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

Published on: April 21, 2023

2.2K
Multi-analyte Biochip MAB Based on All-solid-state Ion-selective Electrodes ASSISE for Physiological Research
08:03

Multi-analyte Biochip MAB Based on All-solid-state Ion-selective Electrodes ASSISE for Physiological Research

Published on: April 18, 2013

17.8K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

17.5K

Area of Science:

  • Evolutionary Computation
  • Artificial Intelligence
  • Machine Learning

Background:

  • Lexicase selection is a parent selection technique that evaluates training cases individually.
  • Its effectiveness in program synthesis and symbolic regression is established, but theoretical underpinnings are lacking.

Purpose of the Study:

  • To develop theoretical foundations explaining lexicase selection's performance.
  • To propose and evaluate new variants for improved efficacy in continuous error spaces.

Main Methods:

  • Derivation of an analytical formula for selection probabilities.
  • Analysis of lexicase selection's relation to many-objective optimization.
  • Introduction and testing of -lexicase selection variants.

Main Results:

  • An analytical formula for selection probabilities was derived.
  • Lexicase selection's behavior was linked to Pareto front boundaries.
  • Identified performance limitations in specific population/case sizes and continuous error spaces.
  • -lexicase selection demonstrated superior performance over diversity-maintenance strategies.

Conclusions:

  • Theoretical insights into lexicase selection's mechanics were provided.
  • -lexicase selection effectively addresses challenges in continuous error spaces.
  • The proposed variants offer enhanced performance for regression tasks.