Algorithm 909: NOMAD: Nonlinear Optimization with the MADS Algorithm

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CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization (2013, neutral): “In addition to the still-current packages supported by CUTEr, CUTEst provides new interfaces to ALGENCAN [1], BOBYQA [19], Direct Search [7], filterSD [8], NEWUOA [18], NLPQLP [21], NOMAD [15], PENNLP [14], QL [20], SPG [2] and SQIC [10], as well as various new packages within GALAHAD [12].”
Modeling an augmented Lagrangian for improved blackbox constrained optimization (2014, methodology): “Practitioners instead prefer hybrids between global EI and deliberately local search (e.g., Taddy et al., 2009; Gramacy and Le Digabel, 2011).”
Surrogate-based methods for black-box optimization (2017, methodology): “This algorithm is implemented in NOMAD [1,35], a famous software for solving black-box optimization, which can also handle expensive constraints, multi-objectives and parallelism for both continuous and discrete variables.”