Black Box Optimizers for Complex Systems

Python codes for Assessment of thermal mode-based kinetic models via stratified cross-validation and TPE optimization

LLaMA-ES: Tuning CMA-ES hyperparameters using LLaMA3 for optimized numerical function performance.

Master project

This repository includes Python implementations of popular optimization algorithms, which can enhance project performance in solving complex problems.

Connecting biologists, medical researchers & molecule nerds — because science is ❤️........

A personal Python project using Expectimax and CMA-ES to optimise the 2048 game.

A survey on CMA-ES with slides and demo for the 2d case.

🚀 Reinforcement learning from scratch — including value-based and policy-based methods, alongside search-driven approaches from evolutionary strategies like Genetic Algorithms to adaptive techniques like Simulated Annealing, PSO, and CMA-ES

Fifth assignment for Machine Learning course @USI19/20.

Repository on my course Evolutionary Computation, about Genetic Algorithms. This project has the objective of evolving structures and controllers on evogym

(EvoApps2022) "Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies"

Implementation of Farm Surveillance Problem introduced in Optimizing Camera Placement for Chicken Farm Monitoring

A Java package for scientific computing

Convert images into low poly, using an optimizer

Code for evolving an LSTM controller for Sparrow Mahjong using CMA-ES

PyRADE is a production-ready optimization library implementing Differential Evolution (DE), a powerful evolutionary algorithm for global optimization. Unlike traditional implementations that sacrifice code quality for performance, PyRADE proves you can have both through intelligent design.

Python implementation of Regulated Evolution Strategies with Covariance Matrix Adaption for continuous "Black-Box" optimization problems.