Publikation: Teil einer Monographie/eines Konferenzbandes

Selecting simulation algorithm portfolios by genetic algorithms

Grunddaten
Links
Abstract
Autoren
Einrichtung

Grunddaten

Titel	Selecting simulation algorithm portfolios by genetic algorithms
Veröffentlicht in	IEEE Workshop on Principles of Advanced and Distributed Simulation (PADS), 2010 : 17 - 19 May 2010, Atlanta, Georgia , ISBN 978-1-4244-7292-5. - Piscataway, NJ : IEEE
Erscheinungsjahr	2010
Jahr	2010
Publikationsform	Elektronische Ressource
Publikationsart	Teil einer Monographie/eines Konferenzbandes
Sprache	Englisch
Letzte Änderung	03.02.2018 11:31:35
Bearbeitungsstatus	durch UB Rostock abschließend validiert
Dauerhafte URL	http://purl.uni-rostock.de/fodb/pub/39332
Links zu Katalogen

Abstract

An algorithm portfolio is a set of algorithms that are bundled together for increased overall performance. While being mostly applied to computationally hard problems so far, we investigate portfolio selection for simulation algorithms and focus on their application to adaptive simulation replication. Since the portfolio selection problem is itself hard to solve, we introduce a genetic algorithm to select the most promising portfolios from large sets of simulation algorithms. The effectiveness of this mechanism is evaluated by data from both a realistic performance study and a dedicated test environment.

Autoren

Ewald, Roland
Schulz, René
Uhrmacher, Adelinde

Externe Links

Beschreibung	Link
Link zur Online-Ressource	http://dx.doi.org/10.1109/PADS.2010.5471673
Link zur Online-Ressource	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5471673

Einrichtung

IEF/Bereich Informatik