This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
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Updated
Jun 19, 2020 - MATLAB
This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).
Python implementation of Bayesian optimization over permutation spaces.
DEFT-FUNNEL: An open-source global optimization solver for constrained grey-box and black-box problems in Matlab.
The CC-D-DGDG-PSO algorithm for solving large scale unconstrained black-box optimization problems with divide-and-conquer strategy.
A pure-MATLAB library for POPulation-based Large-Scale Black-Box Optimization (pop-lsbbo).
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
This code obtains closed-loop performance guarantees for automated controller tuning, which can be formulated as a black-box optimization problem under uncertainty.
Derivative-free solver for the minimization of a function over the convex hull of a set of vectors
Multivariable control strategy for a reactor system, efficient global solution method for a reaction system and rocket, solution methods for two approximate formulations of the Bayesian optimal experiment design (OED) problem, optimal control approach for a cold plasma system.
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