Robust Simulation Optimization
Robust Simulation Optimization is a simulation optimization approach that belongs to the class of methods designed to identify solutions resilient to uncertainties and variability in input parameters, distinguished by its explicit incorporation of robustness criteria—such as worst-case performance or variance minimization—into the optimization process under stochastic simulation.
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1.2K
Citations
85
Authors
41
Institutions
Publications per year
2017–2026
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41

Tilburg University
Tilburg, The Netherlands
4 h-index
5 publications
148 citations

Polytechnic University of Bari
Bari, Italy
3 h-index
3 publications
81 citations
University of Siena
Siena, Italy
2 h-index
2 publications
67 citations
Universiti Putra Malaysia
Seri Kembangan, Malaysia
2 h-index
8 publications
316 citations
The University of Osaka
Osaka, Japan
2 h-index
3 publications
134 citations
George Mason University
Fairfax, United States
2 h-index
4 publications
228 citations
National University of Singapore
Singapore, Singapore
2 h-index
5 publications
180 citations
California Institute of Technology
Pasadena, United States
1 h-index
2 publications
252 citations
1–8 of 41
2 publications · 77 citations
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Repository · 2 publications · 25 citations
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1 publications · 46 citations
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1 publications · 66 citations
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1 publications · 31 citations
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