Analysis of surrogate-assisted information- geometric optimization algorithms

HIGHLIGHTS

  • who: Posted Date September and colleagues from the University of Tsukuba Tsukuba, Tennodai, Tsukuba, Ibaraki, Japan have published the research work: Analysis of Surrogate-Assisted Information- Geometric Optimization Algorithms, in the Journal: (JOURNAL)
  • what: The authors theoretically investigate the effect of a surrogate function in the framework of information-geometric optimization (IGO) , which is considered to be a generalization of a variant of the CMA-ES, namely, the ranku00b5-update CMA-ES. The authors focus mainly on the descent condition u2207J(u03b8(t) )T E[u03b8(t+1) - u03b8(t) | u03b8(t) ] and amp;lt . . .

     

    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 ?