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 Experiment Videos

Evolutionary search: gradients and information

R Rada

    Bio Systems
    |January 1, 1982
    PubMed
    Summary
    This summary is machine-generated.

    Evolutionary algorithms are viewed as search algorithms. Their efficiency depends on the search space characteristics, such as gradients and information content, impacting performance.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    Advanced zirconia ceramics stabilized with yttria and magnesia: Structure and Vickers microhardness.

    Journal of the mechanical behavior of biomedical materials·2022
    Same author

    Insulin resistance and gray matter volume in neurodegenerative disease.

    Neuroscience·2014
    Same author

    Gradualness facilitates knowledge refinement.

    IEEE transactions on pattern analysis and machine intelligence·2011
    Same author

    Transanal rectocele repair using linear stapler and bioabsorbable staple line reinforcement material: short-term results of a prospective study.

    Diseases of the colon and rectum·2009
    Same author

    Evaluation by three-dimensional anal endosonography of injectable silicone biomaterial (PTQ) implants to treat fecal incontinence: long-term localization and relation with the deterioration of the continence.

    Techniques in coloproctology·2009
    Same author

    Evaluation of the use of PTQ implants for the treatment of incontinent patients due to internal anal sphincter dysfunction.

    Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland·2007
    Same journal

    Ruliological Resilience: Pattern Restoration and Robustness in Wolfram Patterns. A Basis for Regeneration, Not Just in Cone Shells?

    Bio Systems·2026
    Same journal

    The quantum-to-classical transducer: A thermodynamic and quantum mechanical framework for the emergence of bioenergetics.

    Bio Systems·2026
    Same journal

    Forward-backward gene expression binarization for boolean state inference over a known regulatory network.

    Bio Systems·2026
    Same journal

    Partial-label metric ceilings for evaluating gene regulatory networks inferred from single-cell foundation models.

    Bio Systems·2026
    Same journal

    The impedance mismatch theory: A non-equilibrium thermodynamic framework for a shared energetic stress pathway in neurodegeneration.

    Bio Systems·2026
    Same journal

    Immune signal-status misclassification: A theoretical framework for biological status assignment and failed status resolution.

    Bio Systems·2026
    See all related articles

    Area of Science:

    • Evolutionary computation
    • Theoretical computer science
    • Algorithm analysis

    Background:

    • Evolutionary processes can be modeled as search algorithms.
    • Standard evolutionary algorithms (reproduction, mutation, selection) may not be efficient across all search spaces.
    • Understanding search space properties is key to improving evolutionary algorithm performance.

    Purpose of the Study:

    • To analyze the efficiency of evolutionary search algorithms.
    • To investigate the role of search space characteristics in algorithm performance.
    • To introduce 'gradients' and 'information' as metrics for evaluating search spaces.

    Main Methods:

    • Conceptualizing evolution as a search algorithm.
    • Analyzing the relationship between search space properties and algorithm efficiency.

    Related Experiment Videos

  • Utilizing measures of 'gradients' and 'information' within the search space.

    • Main Results:

    • The effectiveness of evolutionary search is highly dependent on the specific search space.
    • Certain search space characteristics can significantly hinder or enhance evolutionary algorithm performance.
    • Gradients and information content are identified as critical factors influencing evolutionary search.

    Conclusions:

    • Evolutionary algorithms are not universally efficient and their performance is context-dependent.
    • Characterizing search spaces using gradients and information can predict and improve evolutionary algorithm success.
    • Further research into search space properties can lead to more effective evolutionary computation methods.