Recent developments in metamodel based robust black-box simulation optimization: An overview

Parnianifard, Amir and Ahmad, Siti Azfanizam and Ariffin, Mohd Khairol Anuar Mohd and Ismail, Mohd Idris Shah and Ale Ebrahim, Nader (2019) Recent developments in metamodel based robust black-box simulation optimization: An overview. Decision Science Letters, 8 (1). pp. 17-44. ISSN 1929-5804, DOI

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In the real world of engineering problems, in order to reduce optimization costs in physical processes, running simulation experiments in the format of computer codes have been conducted. It is desired to improve the validity of simulation-optimization results by attending the source of variability in the model’s output(s). Uncertainty can increase complexity and computational costs in Designing and Analyzing of Computer Experiments (DACE). In this state-of the art review paper, a systematic qualitative and quantitative review is implemented among Metamodel Based Robust Simulation Optimization (MBRSO) for black-box and expensive simulation models under uncertainty. This context is focused on the management of uncertainty, particularly based on the Taguchi worldview on robust design and robust optimization methods in the class of dual response methodology when simulation optimization can be handled by surrogates. At the end, while both trends and gaps in the research field are highlighted, some suggestions for future research are directed.

Item Type: Article
Uncontrolled Keywords: Computer experiments; Kriging; Metamodel; Polynomial regression; Robust design; Simulation optimization
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 16 Jan 2019 03:06
Last Modified: 16 Jan 2019 03:06

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