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OPTIMISE: An Internet-Based Platform for Metamodel-Assisted Simulation Optimization
Högskolan i Skövde, Institutionen för teknik och samhälle.ORCID-id: 0000-0003-0111-1776
Högskolan i Skövde, Institutionen för teknik och samhälle.
Högskolan i Skövde, Institutionen för teknik och samhälle.
Högskolan i Skövde, Institutionen för teknik och samhälle.ORCID-id: 0000-0003-3973-3394
Vise andre og tillknytning
2008 (engelsk)Inngår i: Advances in Communication Systems and Electrical Engineering / [ed] Xu Huang, Yuh-Shyan Chen, Sio-Iong Ao, Springer Science+Business Media B.V., 2008, s. 281-296Kapittel i bok, del av antologi (Fagfellevurdert)
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.

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Springer Science+Business Media B.V., 2008. s. 281-296
Serie
Lecture Notes in Electrical Engineering, ISSN 1876-1100 ; 4
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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, id: diva2:200981
Tilgjengelig fra: 2009-03-02 Laget: 2009-03-02 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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