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Audze-Eglais, computer experiment, Enhanced Stochastic Evolutionary algorithm, Latin hypercube design, maximin, non-collapsing, packing problem, simulated annealing, space-filling

robust optimization, ø-divergence, goodness-of-fit statistics

Kriging, Kriging variance, bootstrapping, design and analysis of computer experiments (DACE), Monte Carlo, global optimization, black-box optimization

Kriging, robustness, simulation-model error

Fenchel duality, robust counterpart, nonlinear inequality, robust optimization

(Trigonometric) polynomials, rational functions, semidefinite programming, regression, (Chebyshev) approximation

computer simulation; robust counterpart; simulation-model error; implementation error; metamodel error

Markov chain, Interval uncertainty, Ellipsoidal uncertainty, Linear Programming, Second Order Cone Optimization

global optimization, standard simplex, PTAS, multivariate Bernstein approximation, semidefinite programming

approximation, convexity, meta-model, Sandwich algorithm

Branch-and-bound, circle packing, Latin hypercube design, mixed integer programming, non-collapsing, space-filling

approximation theory; convexity; data-smoothing

Circle packing, Latin hypercube, linking parameters, non-collapsing, sequential simulation, space filling

approximation models, black-box optimization, integer optimization

Convexity, є-efficiency, ε-Pareto optimality, Geometric programming, Higher dimensional, Inner and outer approximation, IMRT, Pareto set, Multi-objective optimization, Sandwich algorithms, Transformations

Optimization, efficiency, convexity

convex relaxation of nonconvex problems, hidden convexity, partially separable functions, robust optimization

Design of computer experiments, Latin hypercube design, linking parameter, nested designs, sequential simulation, space-filling, training and test set

robust optimization, sum of maxima of linear functions, biffine uncertainty

simulation, computers, integer programming

robust optimization, general convex uncertainty regions, linear conic

approximation theory, convexity, convex/concave transformation, Pareto curve

conic quadratic program, hidden convexity, implementation error, robust optimization, simultaneous diagonalizability, S-lemma

Impulse Control Maximum Principle, Optimal Control, flood prevention, dikes, cost-benefit analysis

Pareto set, multiobjective, polynomial inner approximation, robust optimization

robust optimization, simulation optimization, robust parameter design, phi-divergence

Gradient estimation, noisy function, Lagrange interpolation

Design of experiments, finite differences, gradient estimation, noisy functions

Design optimization, coupling, coordination, simulation, black box, metamodel