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

Filters

He Yu
Jing Liu

Evolutionary computation

Showing results (1-10 of 3) with videos related to

Pageof 1
Sort By:
Evolutionary Computation|October 31, 2025
Exploring Automated Algorithm Design Synergizing Large Language Models and Evolutionary Algorithms: Survey and InsightsHe Yu, Jing Liu
Evolutionary Computation|August 6, 2011
Motif difficulty (MD): a predictive measure of problem difficulty for evolutionary algorithms using network motifsJing Liu, Hussein A Abbass, David G Green, et al.
Evolutionary Computation|October 13, 2020
A Decomposition-Based Evolutionary Algorithm with Correlative Selection Mechanism for Many-Objective OptimizationRuochen Liu, Ruinan Wang, Renyu Bian, et al.
Pageof 1

Showing results (1-10 of 3) with videos related to

Sort By:
Pageof 1
Evolutionary Computation|October 31, 2025
Exploring Automated Algorithm Design Synergizing Large Language Models and Evolutionary Algorithms: Survey and InsightsHe Yu, Jing Liu
Evolutionary Computation|August 6, 2011
Motif difficulty (MD): a predictive measure of problem difficulty for evolutionary algorithms using network motifsJing Liu, Hussein A Abbass, David G Green, et al.
Evolutionary Computation|October 13, 2020
A Decomposition-Based Evolutionary Algorithm with Correlative Selection Mechanism for Many-Objective OptimizationRuochen Liu, Ruinan Wang, Renyu Bian, et al.
Pageof 1