Surrogate adaptive randomized search for hyper-parameters tuning in sklearn.
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Updated
Oct 13, 2019 - Python
Surrogate adaptive randomized search for hyper-parameters tuning in sklearn.
Python package for design of experiments
Implementation of the PAMELI algorithm for computationally expensive multi-objective optimization
This GOMORS algorithm is the modified version of what is uploaded in this repository: https://github.com/drkupi/GOMORS_pySOT.
A Surrogate-Assisted Evolutionary Algorithm with Hypervolume Triggered Fidelity Adjustment for Noisy Multiobjective Integer Programming
This is the official repository of the AI for TSP competition at IJCAI 2021
Self-Supervised Deep Learning based Surrogate Models for Fault-Tolerant Edge Computing
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.
Python platform for parallel Surrogate-Based Optimization
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).
Source files of experiment resutls for the manusctipt that submitted to ESWA.
This repository contains the packages that build the problem objects for the desdeo framework.
Benchmarking Surrogate-based Optimisation Algorithms on Expensive Black-box Functions
surF - a surrogate modeling method based on Discrete Fourier Transform
Statistical learning models library for blackbox optimization
A transformative approach to manufacturing optimization, focusing on the textile forming process. This research synergizes domain-specific knowledge with simulation modeling and introduces Bayesian optimization for efficient parameter space exploration.
NKCS model for exploring aspects of (surrogate-assisted) coevolution.
MVRSM algorithm for optimising mixed-variable expensive cost functions.
General-purpose library for fitting models to data with correlated Gaussian-distributed noise
Python library for parallel multiobjective simulation optimization
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