Adaptive cooperative coevolutionary differential evolution for parallel feature selection in high-dimensional datasets

HIGHLIGHTS

  • who: Marjan Firouznia from the Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran have published the research: Adaptive cooperative coevolutionary differential evolution for parallel feature selection in high-dimensional datasets, in the Journal: (JOURNAL)
  • what: Many of the approaches presented in the literature are not applicable to datasets with thousands of features because of the poor scalability of optimization algorithms. Besides discussing the results of the proposed framework in some well-known benchmark datasets, the authors investigate the scalability of a dataparallel implementation for shared-memory architectures, based on OpenMP and C++. The authors . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?