A Java package for scientific computing

Implementations of optimization techniques, sampling methods and evolutionary algorithms

Benchmark for Biophysical Sequence Optimization Algorithms

Code repository of Embedded Bandits for Large-Scale Black-Box Optimization (AAAI'17)

Black-Box optimization of a rotor's shape using Projected Gradient Descent

Multivariable Numerical Optimization

Optimising HSD components (e.g. LVDS, ECL, CML) parameters using Bayesian Optimisation

Implementation of various Bayesian Optimization algorithms

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.

Here we visualize the need for robust BO against an adversary. Clearly the optimum design point changes depending the uncertain parameter x, so we should identify a region for which the decision variable x resides in an optimal region.

Black-box adversarial attacks on deep neural networks with tensor train (TT) decomposition and PROTES optimizer.

Implementation of the (μ/μ,λ)-Evolution Strategy (ES) with Search Path algorithm in C++

Code for executing virtual experiments with intelligent bet-and-run strategies for optimization, which efficiently utilize a total computational budget for getting good results by first starting n runs and after some time pick one of them to continue for the remaining budget.

EGL

Object-Orientated Derivative-Free Optimisation

A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).

Pytorch based reimplementation of COMS: Conservative Objective Models for Effective Offline Model-Based Optimization.

Safe Explorative Bayesian Optimization -- Towards Personalized Treatments in Plasma Medicine

Exploratory Data Analysis of Random Search, CMA, and PSO Optimisation Algorithms for Facility Location Problem

A collection and visualization of single objective black-box functions for optimization benchmarking.