Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Inclusive Fitness

Inclusive Fitness

Most altruistic behavior—in which one animal helps another at a cost to themselves—occurs between relatives. Scientists think these altruistic behaviors evolved because they increase the inclusive fitness of the animal providing help.

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Modern Molecular Taxonomy

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

You might also read

Related Articles

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

Sort by

Same author

Forecasting Renewable energy and electricity consumption using evolutionary hyperheuristic algorithm.

Scientific reports·2025

Same author

Vegetation Evolution with Dynamic Maturity Strategy and Diverse Mutation Strategy for Solving Optimization Problems.

Biomimetics (Basel, Switzerland)·2023

Same author

Dynamical intervention planning against COVID-19-like epidemics.

PloS one·2022

Same author

Screening for FtsZ Dimerization Inhibitors Using Fluorescence Cross-Correlation Spectroscopy and Surface Resonance Plasmon Analysis.

PloS one·2015

Search research articles

Related Experiment Video

Updated: Jul 18, 2026

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Published on: February 3, 2013

Linkage identification by fitness difference clustering.

Miwako Tsuji¹, Masaharu Munetomo, Kiyoshi Akama

¹Graduate School of Information Science and Technology, Hokkaido University, North 11, West 5, Sapporo, 060-0811 Japan. m_tsuji@cims.hokudai.ac.jp

Evolutionary Computation

|November 18, 2006

Summary

This study introduces a new method for genetic algorithms to identify variable linkages, improving crossover effectiveness. The Dependency Detection for Distribution Derived from fitness Differences (D(5)) algorithm offers a more efficient approach than existing methods.

More Related Videos

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Published on: January 10, 2025

Related Experiment Videos

Last Updated: Jul 18, 2026

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Combined Immunofluorescence and DNA FISH on 3D-preserved Interphase Nuclei to Study Changes in 3D Nuclear Organization

Published on: February 3, 2013

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Identification of Functionally-Relevant Lentivirus Integration Sites in an Insertional Mutagenesis Cell Library

Published on: January 10, 2025

Area of Science:

Computational Intelligence
Optimization Algorithms
Machine Learning

Background:

Genetic Algorithms (GAs) rely on identifying linkage sets for effective crossover operations.
Existing methods like Perturbation Methods (PMs) and Estimation of Distribution Algorithms (EDAs) have limitations in detecting these linkage sets.

Purpose of the Study:

To propose a novel algorithm that effectively detects variable dependencies for improved GA performance.
To address the limitations of current linkage detection methods, particularly for complex functions.

Main Methods:

A hybrid approach combining elements of perturbation methods and estimation of distribution algorithms.
The proposed Dependency Detection for Distribution Derived from fitness Differences (D(5)) algorithm estimates distributions of fitness-clustered strings.

Main Results:

The D(5) algorithm successfully detects variable dependencies in functions challenging for standard EDAs.
The proposed method demonstrates reduced computational cost compared to traditional perturbation methods.

Conclusions:

The D(5) algorithm offers an effective and efficient solution for linkage set identification in genetic algorithms.
This advancement can enhance the performance of genetic algorithms in complex optimization problems.