A survey of adjustable robust optimization

Robust Predictive-Reactive Scheduling: An Information-Based Decision Tree Model

“…The set of scenarios for this instance is Ω = D 1 × D 2 × D 3 and ω = (10,12,19) is a scenario. We will keep this instance all along this paper to exemplify the notions and algorithms we introduce.…”

“…The recoverable robustness framework [1] considers two stage decisions where robust decisions are taken at the first stage and where recovery algorithms are used to restore feasibility for a realised scenario on the second stage. This framework is linked to adjustable robust optimisation [12] that roughly transposes the concept of two-stage stochastic programming to robust optimisation: some recourse variables can be adjusted to the realised scenario.…”

Consensus of large-scale group decision making in social network: the minimum cost model based on robust optimization

“…Ji et al [15] proposed a fuzzy robust weighted method for a bilevel game model. Yaníkoğlu et al [45] introduced adjustable robust optimization. A guide on how to apply an adjustable robust optimization method is given in the work of Yanıkoğlu et al [45] .…”

A unified framework for adjustable robust optimization with endogenous uncertainty

“…A particular research focus has been the development of tractable approximations, for example, in the form of decision rules, 3,4 and solution methods, 5,6 with many of the more recent efforts directed at the efficient handling of discrete recourse decisions. [7][8][9][10][11][12] We refer the reader to Yanıko glu et al 13 for a comprehensive survey on ARO.…”