2016
DOI: 10.1007/978-3-319-33121-8_5
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The State of Robust Optimization

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Cited by 12 publications
(4 citation statements)
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“…Robustness analysis assesses the sensitivity of a method when the evaluated parameter suffers a type of variation. 52,53 This experiment evaluated the robustness using heat as the variation inflicted on the sample. The solution was heated up to 45 °C and subsequently analyzed.…”
Section: Resultsmentioning
confidence: 99%
“…Robustness analysis assesses the sensitivity of a method when the evaluated parameter suffers a type of variation. 52,53 This experiment evaluated the robustness using heat as the variation inflicted on the sample. The solution was heated up to 45 °C and subsequently analyzed.…”
Section: Resultsmentioning
confidence: 99%
“…Robust optimization models are increasingly used in the last years (see, e.g., Bertsimas et al [5], Gabrel et al [16], Sözüer and Thiele [24]), also in lot-sizing and scheduling. For example, Alem et al [1] and Curcio et al [13] use a robust optimization model to respond to uncertain demands in a General Lot-sizing and Scheduling (GLS) problem.…”
Section: Related Researchmentioning
confidence: 99%
“…(2015), Kouvelis and Yu (1997), Lim et al. (2006), Rahimian and Mehrotra (2019), Sözüer and Thiele (2016), and Yanıkoğlu et al. (2017).…”
Section: Introductionmentioning
confidence: 99%