The following pages link to ParEGO (Q22920):
Displaying 50 items.
- GP-DEMO: differential evolution for multiobjective optimization based on Gaussian process models (Q319093) (← links)
- Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations (Q319103) (← links)
- Global search perspectives for multiobjective optimization (Q377750) (← links)
- Hypervolume-based multiobjective optimization: theoretical foundations and practical implications (Q418033) (← links)
- Two-sided Pareto front approximations (Q463001) (← links)
- Surrogate-assisted multiobjective evolutionary algorithms for structural shape and sizing optimisation (Q474518) (← links)
- Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization (Q480834) (← links)
- ParEGO extensions for multi-objective optimization of expensive evaluation functions (Q506445) (← links)
- A Bayesian approach to constrained single- and multi-objective optimization (Q506449) (← links)
- Dynamic algorithm selection for Pareto optimal set approximation (Q506461) (← links)
- A method for simulation based optimization using radial basis functions (Q622606) (← links)
- Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm (Q721156) (← links)
- A Kriging model-based expensive multiobjective optimization algorithm using R2 indicator of expectation improvement (Q779579) (← links)
- Differential evolution for noisy multiobjective optimization (Q899164) (← links)
- Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection (Q905751) (← links)
- Kriging-based infill sampling criterion for constraint handling in multi-objective optimization (Q905759) (← links)
- A fast Pareto genetic algorithm approach for solving expensive multiobjective optimization problems (Q953285) (← links)
- Global optimization of expensive-to-evaluate functions: An empirical comparison of two sampling criteria (Q1029699) (← links)
- Evolutionary multiobjective optimization in noisy problem environments (Q1044244) (← links)
- A comparative study on large scale kernelized support vector machines (Q1630840) (← links)
- Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models (Q1660159) (← links)
- Linear programming-based directed local search for expensive multi-objective optimization problems: application to drinking water production plants (Q1754046) (← links)
- Registrar: a complete-memory operator to enhance performance of genetic algorithms (Q1928318) (← links)
- A novel many-objective evolutionary algorithm based on transfer matrix with kriging model (Q1999079) (← links)
- Expected improvement for expensive optimization: a review (Q2022176) (← links)
- On the extension of the \textsc{direct} algorithm to multiple objectives (Q2022240) (← links)
- DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization (Q2044473) (← links)
- Integrating \(\varepsilon \)-dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems (Q2124811) (← links)
- Surrogate assisted interactive multiobjective optimization in energy system design of buildings (Q2138305) (← links)
- Multiplicity of solutions in model-based multiobjective optimization of wastewater treatment plants (Q2139123) (← links)
- Multi-fidelity design optimisation strategy under uncertainty with limited computational budget (Q2139153) (← links)
- Expensive multi-objective optimization of electromagnetic mixing in a liquid metal (Q2139155) (← links)
- Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization (Q2200087) (← links)
- Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: a state-of-the-art (Q2242290) (← links)
- Design of a motorcycle frame using neuroacceleration strategies in MOEAs (Q2271119) (← links)
- Bi-objective decision making in global optimization based on statistical models (Q2274848) (← links)
- A survey on kriging-based infill algorithms for multiobjective simulation optimization (Q2289950) (← links)
- Targeting solutions in Bayesian multi-objective optimization: sequential and batch versions (Q2294603) (← links)
- A multiobjective stochastic simulation optimization algorithm (Q2301958) (← links)
- Deep collective matrix factorization for augmented multi-view learning (Q2320570) (← links)
- Pseudo expected improvement criterion for parallel EGO algorithm (Q2399490) (← links)
- Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems (Q2414108) (← links)
- Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems (Q2423810) (← links)
- Response surface approximation of Pareto optimal front in multi-objective optimization (Q2459284) (← links)
- The development of a multi-objective tabu search algorithm for continuous optimisation problems (Q2464204) (← links)
- A novel multi-objective optimization method based on an approximation model management technique (Q2637999) (← links)
- An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization (Q2660961) (← links)
- High-dimensional black-box optimization under uncertainty (Q2669612) (← links)
- A Multicriteria Generalization of Bayesian Global Optimization (Q2958623) (← links)
- On Sampling Methods for Costly Multi-Objective Black-Box Optimization (Q2958628) (← links)
