evolutionary-strategy

A julia implementation of the CMA Evolution Strategy for derivative-free optimization of potentially non-linear, non-convex or noisy functions over continuous domains.

optimization evolutionary-algorithm evolutionary-strategy stochastic-optimization derivative-free blackbox-optimization cma-es derivative-free-optimization

Updated Jan 3, 2023
Julia

NiMlr / High-Dim-ES-RL

Star 29

Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies

machine-learning reinforcement-learning optimization neuroevolution neural-networks evolutionary-algorithms evolutionary-computation control-theory evolutionary-strategy evolution-strategies derivative-free stochastic-control

Updated May 30, 2022
Python

sash-a / es_pytorch

Star 27

High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters

reinforcement-learning ai mpi neuroevolution pytorch gym evolutionary-strategy mpi4py deep-neuroevolution

Updated Jan 24, 2022
Python

scheckmedia / cgp-cnn-design

Star 25

Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture

python tensorflow keras python3 evolutionary-algorithms evolutionary-strategy cnn-architecture cgp cartesian-genetic-programming

Updated Feb 6, 2018
Python

sgonzalez / SwiftCMA

Star 23

A pure-Swift implementation of Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES).

evolutionary-algorithms evolutionary-strategy covariance-matrix-adaptation

Updated Apr 24, 2020
Swift

AStupidBear / GCMAES.jl

Star 19

Gradient-based Covariance Matrix Adaptation Evolutionary Strategy for Real Blackbox Optimization

optimization parallel mpi distributed-computing gradient evolutionary-computation elemental evolutionary-strategy cma evolution-strategies

Updated Aug 13, 2023
Julia

giuse / machine_learning_workbench

Star 19

Workbench for practical machine learning in Ruby.

machine-learning reinforcement-learning neural-network optimization modeling machine-learning-algorithms neuroevolution neural-networks evolutionary-algorithms evolutionary-algorithm black-box-optimization evolutionary-computation optimization-algorithms evolutionary-strategy evolution-strategies rubyml natural-evolution-strategies machine-learning-workbench

Updated Nov 2, 2021
Ruby

shashankkotyan / RobustArchitectureSearch

Star 18

This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"

deep-neural-networks deep-learning neural-network paper neuroevolution neural-networks evolutionary-algorithms evolutionary-algorithm evolutionary-computation neuralnetwork neural-nets evolutionary-strategy robustness neuralnetworks evolution-strategies neural-architecture-search adversarial-machine-learning architecture-search robustness-verification robustness-experiments

Updated Dec 17, 2023
Python

entrpn / fingym

Star 17

A tool for developing reinforcement learning algorithms focused in stock prediction

python reinforcement-learning q-learning artificial-intelligence stock-market stock-price-prediction evolutionary-algorithms evolutionary-strategy artificial-intelligence-algorithms evolution-strategies reinforcement-agents reinforcement-learning-playground reinforcement-learning-environments

Updated May 4, 2022
Python

satuma777 / evoltier

Star 15

[WIP] Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.

python evolutionary-algorithms evolutionary-computation optimization-algorithms evolutionary-strategy

Updated May 2, 2019
Python

MarkZH / Genetic_Chess

Star 10

An amateur attempt at breeding a chess-playing AI.

chess ai cpp evolution genetic-algorithm artificial-intelligence evolutionary-algorithm evolutionary-strategy gene-pool

Updated Mar 15, 2025
C++

RUN-Beyond-the-Metaphor-An-Efficient-Optimization-Algorithm-Based-on-Runge-Kutta-Method

aliasgharheidaricom / RUN-Beyond-the-Metaphor-An-Efficient-Optimization-Algorithm-Based-on-Runge-Kutta-Method

Star 10

The optimization field suffers from the metaphor-based "pseudo-novel" or "fancy" optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an...

benchmarking optimization modeling genetic-algorithm evolutionary-algorithms differential-equations optimization-methods differential-evolution optimization-tools evolutionary-computation optimization-algorithms evolutionary-strategy particle-swarm-optimization runge-kutta optimization-algorithm-library swarm-intelligence runge-kutta-methods swarm-intelligence-algorithms

Updated Oct 13, 2024
MATLAB

Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

sergio94al / Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

Star 10

Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.