Panobbgo: Parallel Noisy Black-Box Global Optimization

Harald Schilly

Veröffentlichungen: Beitrag zu KonferenzPaperPeer Reviewed

Abstract

Most existing black-box optimization tools evaluate the objective function sequentially. The experimental optimization framework Panobbgo aims to support parallel evaluation of the objective function inherently in its core. Additionally, a modularized component architecture with a centralized, event-based orchestration mechanism, encourages incremental improvements and experiments with new algorithmic ideas.
OriginalspracheEnglisch
Seitenumfang4
DOIs
PublikationsstatusVeröffentlicht - 2014
VeranstaltungTwelfth International Conference on Computational Structures Technology - Naples, Italien
Dauer: 31 Aug. 20115 Sep. 2014

Konferenz

KonferenzTwelfth International Conference on Computational Structures Technology
Land/GebietItalien
OrtNaples
Zeitraum31/08/115/09/14

ÖFOS 2012

  • 102025 Verteilte Systeme
  • 101016 Optimierung

Zitationsweisen