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.

    Language:Python1
  • 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).

    Language:Python1
  • Surrogate-model-optimization-with-Adaptive-sampling

    Efficient Foil Shape Optimization Using Artificial Neural Network-Based Surrogate Model with Adaptive Sampling Strategy

    Language:Jupyter Notebook
  • SAEA-CDE

    Source files of experiment resutls for the manusctipt that submitted to ESWA.

    Language:Python
  • knn_metamodell_optimierung

    Optimierungsroutine für rechenaufwendige Systeme

    Language:MATLAB
  • UllahPPSN2022

    This repository contains the code for analysis on the computational aspects of robustness in surrogate-assisted robust optimization.

    Language:Jupyter Notebook
  • 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.

    Language:Python
  • nkcs

    NKCS model for exploring aspects of (surrogate-assisted) coevolution.

    Language:Python
  • PAMELI

    Implementation of the PAMELI algorithm for computationally expensive multi-objective optimization

    Language:Python