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OPTIMISE: An Internet-Based Platform for Metamodel-Assisted Simulation Optimization
University of Skövde, School of Technology and Society.ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Technology and Society.
University of Skövde, School of Technology and Society.
University of Skövde, School of Technology and Society.ORCID iD: 0000-0003-3973-3394
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2008 (English)In: Advances in Communication Systems and Electrical Engineering / [ed] Xu Huang, Yuh-Shyan Chen, Sio-Iong Ao, Springer Science+Business Media B.V., 2008, 281-296 p.Chapter in book (Refereed)
Abstract [en]

Computer simulation has been described as the most effective tool for de-signing and analyzing systems in general and discrete-event systems (e.g., production or logistic systems) in particular (De Vin et al. 2004). Historically, the main disadvantage of simulation is that it was not a real optimization tool. Recently, research efforts have been focused on integrating metaheuristic algorithms, such as genetic algorithms (GA) with simulation software so that “optimal” or close to optimal solutions can be found automatically. An optimal solution here means the setting of a set of controllable design variables (also known as decision variables) that can minimize or maximize an objective function. This approach is called simulation optimization or simulation-based optimization (SBO), which is perhaps the most important new simulation technology in the last few years (Law and McComas 2002). In contrast to other optimization problems, it is assumed that the objective function in an SBO problem cannot be evaluated analytically but have to be estimated through deterministic/ stochastic simulation.

Place, publisher, year, edition, pages
Springer Science+Business Media B.V., 2008. 281-296 p.
Series
Lecture Notes in Electrical Engineering, ISSN 1876-1100 ; 4
National Category
Computer Science
Identifiers
URN: urn:nbn:se:his:diva-2801DOI: 10.1007/978-0-387-74938-9_20Scopus ID: 2-s2.0-84885011189ISBN: 978-0-387-74937-2 ISBN: 978-0-387-74938-9 OAI: oai:DiVA.org:his-2801DiVA: diva2:200981
Available from: 2009-03-02 Created: 2009-03-02 Last updated: 2015-12-18Bibliographically approved

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CiteExportLink to record
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