surrogate-based-optimization
There are 47 repositories under surrogate-based-optimization topic.
desdeo-problem
This repository contains the packages that build the problem objects for the desdeo framework.
sksurrogate
SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).
Surrogate-model-optimization-with-Adaptive-sampling
Efficient Foil Shape Optimization Using Artificial Neural Network-Based Surrogate Model with Adaptive Sampling Strategy
SAEA-CDE
Source files of experiment resutls for the manusctipt that submitted to ESWA.
knn_metamodell_optimierung
Optimierungsroutine für rechenaufwendige Systeme
UllahPPSN2022
This repository contains the code for analysis on the computational aspects of robustness in surrogate-assisted robust optimization.
imperialbscproject
Code written for the BSc Project: Estimating Control Landscapes with Neural Networks by Susan Chen and Katie Xiao as part of our Imperial College London Physics degrees.
nkcs
NKCS model for exploring aspects of (surrogate-assisted) coevolution.
PAMELI
Implementation of the PAMELI algorithm for computationally expensive multi-objective optimization