Pages that link to "Item:Q2660961"
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The following pages link to An adaptive Bayesian approach to surrogate-assisted evolutionary multi-objective optimization (Q2660961):
Displaying 15 items.
- A hybrid differential evolution approach based on surrogate modelling for scheduling bottleneck stages (Q342190) (← 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)
- Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems (Q1999087) (← links)
- Surrogate-assisted bounding-box approach for optimization problems with tunable objectives fidelity (Q2010110) (← links)
- Efficient hierarchical surrogate-assisted differential evolution for high-dimensional expensive optimization (Q2053862) (← 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)
- Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization (Q2200087) (← links)
- Engineering design applications of surrogate-assisted optimization techniques (Q2254199) (← links)
- A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization (Q2342949) (← links)
- Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems (Q2423810) (← links)
- An efficient constrained global optimization algorithm with a clustering-assisted multiobjective infill criterion using Gaussian process regression for expensive problems (Q6071265) (← links)
- An adaptive batch Bayesian optimization approach for expensive multi-objective problems (Q6122320) (← links)
- MOEA/D with gradient-enhanced kriging for expensive multiobjective optimization (Q6535740) (← links)
