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

Adaptive Differential Evolution With Sorting Crossover Rate for Continuous Optimization Problems.

Yin-Zhi Zhou, Wen-Chao Yi, Liang Gao

    IEEE Transactions on Cybernetics
    |April 1, 2017
    PubMed
    Summary
    This summary is machine-generated.

    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

    Ultraviolet irradiation-responsive dynamic ultralong organic phosphorescence in polymeric systems.

    Nature communications·2021
    Same author

    Wavelength beam-combining of terahertz quantum-cascade laser arrays.

    Optics letters·2021
    Same author

    Ultrafast light field tomography for snapshot transient and non-line-of-sight imaging.

    Nature communications·2021
    Same author

    Supercapsular percutaneously-assisted total hip (SuperPath) versus mini-incision posterolateral total hip arthroplasty for hip osteoarthritis: a prospective randomized controlled trial.

    Annals of translational medicine·2021
    Same author

    Association of apolipoproteins A1 and B with type 2 diabetes and fasting blood glucose: a cross-sectional study.

    BMC endocrine disorders·2021
    Same author

    Transgluteal versus prone approach to extracorporeal shockwave lithotripsy for patients with distal ureteral stones: A systematic review and meta-analysis.

    Asian journal of surgery·2021

    This study introduces JADE_sort, a modified adaptive differential evolution (DE) algorithm. By sorting crossover rates (CR) based on individual fitness, JADE_sort enhances evolutionary algorithm performance.

    Area of Science:

    • Computational Intelligence
    • Optimization Algorithms
    • Evolutionary Computation

    Background:

    • Differential Evolution (DE) is a powerful evolutionary algorithm (EA).
    • Adaptive DE (JADE) has been developed to improve DE performance.
    • Further enhancements to JADE are being explored to optimize its effectiveness.

    Purpose of the Study:

    • To introduce a modified version of the JADE algorithm, termed JADE_sort.
    • To improve the performance of JADE by modifying its crossover rate (CR) strategy.
    • To enhance the exploration and exploitation balance in evolutionary optimization.

    Main Methods:

    • A modified JADE algorithm (JADE_sort) was developed.
    • The CR values are sorted based on the fitness of individuals.

    Related Experiment Videos

  • Individuals with better fitness are assigned smaller CR values, promoting the inheritance of superior components.

    • Main Results:

    • The JADE_sort algorithm demonstrated improved performance compared to existing algorithms.
    • Assigning smaller CR to fitter individuals increased the likelihood of beneficial components appearing in offspring.
    • Preserving schemes from better offspring in subsequent generations contributed to enhanced performance.

    Conclusions:

    • JADE_sort effectively improves upon the JADE algorithm.
    • The proposed sorting crossover rate strategy enhances the performance of adaptive differential evolution.
    • This modification offers a promising direction for future research in evolutionary computation.