Dawei Zhan
zhandawei
Efficient global optimization, evolutionary computation and surrogate modeling
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MATLAB
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The is the MATLAB code for calling ANSYS in MATLAB
standard, high-dimensional, parallel, constrained, and multiobjective Bayesian optimization algorithms
A fast Kriging-assisted evolutionary algorithm based on incremental learning
A Matlab implementation of the real-coded Genetic Algorithm
A population prescreening strategy for Kriging-assisted evolutionary computation
Batch Bayesian Optimization via Expected Subspace Improvement
Repositories
14A fast Kriging-assisted evolutionary algorithm based on incremental learning
The matlab implementation of the block coordinate descent Bayesian optimization algorithm
The is the MATLAB code for calling ANSYS in MATLAB
standard, high-dimensional, parallel, constrained, and multiobjective Bayesian optimization algorithms
Batch Bayesian Optimization via Expected Subspace Improvement
A population prescreening strategy for Kriging-assisted evolutionary computation
Pointwise expected hypervolume improvement for expensive multi-objective optimization
Roulette Wheel Variable Selection for High Dimensional Bayesian Optimization
Expected Coordinate Improvement for High-Dimensional Bayesian Optimization
An Anisotropic Expected Improvement Criterion for Kriging-Assisted Evolutionary Computation
A cooperative approach to efficient global optimization
A Matlab implementation of the real-coded Genetic Algorithm
High-Dimensional Bayesian Optimization Using Greedy Variable Selection Strategy
A Fast Multi-Point Expected Improvement for Parallel Expensive Optimization