EconPapers    
Economics at your fingertips  
 

A comprehensive literature classification of simulation optimisation methods

Wafik Hachicha, Ahmed Ammeri, Faouzi Masmoudi and Habib Chachoub

MPRA Paper from University Library of Munich, Germany

Abstract: Simulation Optimization (SO) provides a structured approach to the system design and configuration when analytical expressions for input/output relationships are unavailable. Several excellent surveys have been written on this topic. Each survey concentrates on only few classification criteria. This paper presents a literature survey with all classification criteria on techniques for SO according to the problem of characteristics such as shape of the response surface (global as compared to local optimization), objective functions (single or multiple objectives) and parameter spaces (discrete or continuous parameters). The survey focuses specifically on the SO problem that involves single per-formance measure

Keywords: Simulation Optimization; classification methods; literature survey (search for similar items in EconPapers)
JEL-codes: C15 C44 C61 Z11 (search for similar items in EconPapers)
Date: 2010-05-24
New Economics Papers: this item is included in nep-cmp and nep-ecm
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/27652/1/MPRA_paper_27652.pdf original version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:27652

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-24
Handle: RePEc:pra:mprapa:27652