- AutorIn
- Prof. Dr. Peter Köchel
- Titel
- Simulation Optimisation: Approaches, Examples, and Experiences
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-200900682
- Schriftenreihe
- Chemnitzer Informatik-Berichte
- Bandnummer
- CSR-09-03
- Abstract (EN)
- Simulation based optimisation or simulation optimisation is an important field in stochastic optimisation. The present report introduces into that problem area. We distinguish between the non-recursive and recursive approaches of simulation optimisation. For the non-recursive approach we consider three methods, the retrospective, SPO-, and the RS-methods. With the help of a simple inventory problem we discuss the advantages and disadvantages of these methods. As a recursive method we consider in the second part of our report the coupling of simulation with Genetic Algorithms. As an application example we take a complex multi-location inventory model with lateral transshipments. From our experiences with such optimisation problems we finally formulate some principles, which may be relevant in simulation optimisation.
- Freie Schlagwörter
- Genetische Algorithmen
- Lagerhaltungsmodell
- Klassifikation (DDC)
- 004
- 510
- 620
- 330
- Normschlagwörter (GND)
- Optimierung
- Simulation
- Stochastisches System
- Publizierende Institution
- Technische Universität Chemnitz, Chemnitz
- URN Qucosa
- urn:nbn:de:bsz:ch1-200900682
- Veröffentlichungsdatum Qucosa
- 22.04.2009
- Dokumenttyp
- Forschungsbericht
- Sprache des Dokumentes
- Englisch