Pages that link to "Item:Q2706357"
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The following pages link to A direct search algorithm for optimization with noisy function evaluations (Q2706357):
Displaying 33 items.
- Exploring or reducing noise? A global optimization algorithm in the presence of noise (Q382006) (← links)
- Default policies for global optimisation of noisy functions with severe noise (Q522287) (← links)
- Optimising noisy objective functions (Q813361) (← links)
- Approximate implementations of pure random search in the presence of noise (Q813364) (← links)
- Simple and cumulative regret for continuous noisy optimization (Q905845) (← links)
- Lower bounds for randomized direct search with isotropic sampling (Q943792) (← links)
- Robust optimization - a comprehensive survey (Q1033240) (← links)
- Pattern search ranking and selection algorithms for mixed variable simulation-based optimization (Q1042073) (← links)
- Almost surely convergent global optimziation algorithm using noise-corrupted observations (Q1579659) (← links)
- Robust optimization of noisy blackbox problems using the mesh adaptive direct search algorithm (Q1653265) (← links)
- Numerical simulation of polynomial-speed convergence phenomenon (Q1696954) (← links)
- Algorithms for noisy problems in gas transmission pipeline optimization (Q1863850) (← links)
- Stochastic Nelder-Mead simplex method -- a new globally convergent direct search method for simulation optimization (Q1926785) (← links)
- Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates (Q2028452) (← links)
- Optimization with hidden constraints and embedded Monte Carlo computations (Q2357974) (← links)
- Calibration by optimization without using derivatives (Q2358082) (← links)
- Conditional optimization of a noisy function using a kriging metamodel (Q2416583) (← links)
- A generating set search method using curvature information (Q2457951) (← links)
- Gradient estimation schemes for noisy functions (Q2583201) (← links)
- Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates (Q2687061) (← links)
- The impact of noise on evaluation complexity: the deterministic trust-region case (Q2696963) (← links)
- Non-intrusive termination of noisy optimization (Q2867421) (← links)
- Calibration of financial models using quasi-Monte Carlo (Q3087042) (← links)
- Convergence of the Implicit Filtering Method for Constrained Optimization of Noisy Functions (Q3432717) (← links)
- Minimization of functions observed with noise (Q3990115) (← links)
- Optimal Learning for Nonlinear Parametric Belief Models Over Multidimensional Continuous Spaces (Q4554064) (← links)
- A Derivative-Free Trust-Region Algorithm for the Optimization of Functions Smoothed via Gaussian Convolution Using Adaptive Multiple Importance Sampling (Q4641668) (← links)
- A grid algorithm for bound constrained optimization of noisy functions (Q4852685) (← links)
- Optimization of Stochastic Blackboxes with Adaptive Precision (Q5020850) (← links)
- Handling expensive optimization with large noise (Q5276084) (← links)
- Simulation optimization: a review of algorithms and applications (Q5919176) (← links)
- Constrained Optimization in the Presence of Noise (Q6176426) (← links)
- Stochastic zeroth order descent with structured directions (Q6642789) (← links)
