evolutionary-strategy

There are 4 repositories under evolutionary-strategy topic.

jenetics
jenetics / jenetics
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
evolutionary-algorithms genetic-algorithm artificial-intelligence optimization evolutionary-strategy parallel-algorithm metaheuristics genetic-programming machine-learning java multiobjective-optimization java17 grammatical-evolution
Language:Java 818
esa / pagmo2
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
artificial-intelligence evolutionary-algorithms evolutionary-strategy genetic-algorithm metaheuristics multi-objective-optimization optimization optimization-algorithms optimization-methods optimization-tools pagmo parallel-computing parallel-processing python python3 stochastic-optimizers
Language:C++ 788
esa / pygmo2
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
optimization optimization-algorithms optimization-methods optimization-problem evolutionary-algorithms multiobjective-optimization stochastic-optimization island-model parallel-computing parallel-processing meta-heuristic meta-heuristics evolutionary-strategy evolutionary-computation artificial-intelligence
Language:C++ 406
openai / EPG
Code for the paper "Evolved Policy Gradients"
machine-learning reinforcement-learning evolutionary-strategy continuous-control meta-learning paper
Language:Python 244
Harris-Hawks-Optimization-Algorithm-and-Applications
aliasgharheidaricom / Harris-Hawks-Optimization-Algorithm-and-Applications
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
artificial-intelligence optimization-algorithms metaheuristics swarm-intelligence modeling computer-science algorithms-and-data-structures optimization evolutionary-algorithms evolutionary-computation evolutionary-strategy engineering computational-intelligence
Language:MATLAB 45
jakobbossek / ecr2
ecr: Evolutionary Computation in R (version 2)
evolutionary-algorithms optimization-framework evolutionary-strategy genetic-algorithm-framework r-package r multi-objective-optimization evolutionary-algorithm optimization metaheuristics combinatorial-optimization
Language:R 41
jbrea / CMAEvolutionStrategy.jl
optimization derivative-free-optimization derivative-free stochastic-optimization evolutionary-algorithm evolutionary-strategy cma-es blackbox-optimization
Language:Julia 29
NiMlr / High-Dim-ES-RL
Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
evolution-strategies evolutionary-computation evolutionary-strategy reinforcement-learning neural-networks machine-learning neuroevolution stochastic-control control-theory optimization derivative-free evolutionary-algorithms
Language:Python 25
scheckmedia / cgp-cnn-design
Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture
cgp cartesian-genetic-programming keras cnn-architecture evolutionary-algorithms evolutionary-strategy tensorflow python python3
Language:Python 25
sash-a / es_pytorch
High performance implementation of Deep neuroevolution in pytorch using mpi4py. Intended for use on HPC clusters
evolutionary-strategy reinforcement-learning gym deep-neuroevolution pytorch neuroevolution mpi mpi4py ai
Language:Python 23
sgonzalez / SwiftCMA
A pure-Swift implementation of Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES).
covariance-matrix-adaptation evolutionary-algorithms evolutionary-strategy
Language:Swift 23
entrpn / fingym
A tool for developing reinforcement learning algorithms focused in stock prediction
stock-market stock-price-prediction python reinforcement-learning-environments reinforcement-learning reinforcement-learning-playground reinforcement-agents artificial-intelligence artificial-intelligence-algorithms q-learning evolutionary-algorithms evolution-strategies evolutionary-strategy
Language:Python 20
AStupidBear / GCMAES.jl
Gradient-based Covariance Matrix Adaptation Evolutionary Strategy for Real Blackbox Optimization
optimization parallel gradient evolutionary-computation evolution-strategies evolutionary-strategy cma distributed-computing mpi elemental
Language:Julia 19
giuse / machine_learning_workbench
Workbench for practical machine learning in Ruby.
machine-learning machine-learning-algorithms neural-network neural-networks rubyml evolutionary-algorithms evolutionary-algorithm evolutionary-computation evolutionary-strategy neuroevolution black-box-optimization modeling optimization optimization-algorithms evolution-strategies reinforcement-learning natural-evolution-strategies machine-learning-workbench
Language:Ruby 19
shashankkotyan / RobustArchitectureSearch
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
neuroevolution deep-learning deep-neural-networks evolutionary-algorithms evolutionary-strategy evolution-strategies evolutionary-algorithm evolutionary-computation architecture-search neural-network neural-networks neural-architecture-search neuralnetwork neuralnetworks neural-nets adversarial-machine-learning robustness robustness-experiments robustness-verification paper
Language:Python 18
satuma777 / evoltier
[WIP] Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.
evolutionary-computation evolutionary-strategy evolutionary-algorithms python optimization-algorithms
Language:Python 15
MarkZH / Genetic_Chess
An amateur attempt at breeding a chess-playing AI.
chess genetic-algorithm artificial-intelligence ai evolutionary-algorithm evolutionary-strategy evolution gene-pool
Language:C++ 9
AshwiniDPrabhu / Evolutionary-Machine-Learning
evolutionary-algorithms genetic-algorithms genetic-programming evolutionary-strategy python pso deap xcs
Language:Jupyter Notebook 8
moshesipper / tiny_ga
Tiny Genetic Algorithm in Python
genetic-algorithm evolutionary-algorithms evolutionary-computation evolution genetic-programming genetic-algorithm-framework evolution-simulation evolutionary-strategy evolutionary evolutionary-algorithm tiny-genetic-algorithm python
Language:Python 8
underwit / agentsmith
Нейронная сеть оптимизируемая с помощью генетического алгоритма. Задача агента контролируемого при помощи нейронной сети состоит в том, чтобы избегать контакта с противниками, как можно более длительное время.
neural-network genetic-algorithm nn evolutionary-algorithms evolutionary-strategy agent tkinter python3 python game unsupervised-learning machine-learning machine-learning-algorithms
Language:Python 8
Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation
sergio94al / Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation
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.
artificial-intelligence evolutionary-algorithms machine-learning quantum-algorithms quantum-computing quantum-machine-learning genetic-algorithms optimization-methods qml kernel-methods multiobjective-optimization evolutionary-strategy automatic-machine-learning genetic-algorithm quantum-inspired-algorithm supervised-learning-algorithms classifiers quantum-kernel
Language:Jupyter Notebook 7
ekorudiawan / JADE
JADE - Adaptive Differential Evolution
jade differential-evolution evolutionary-algorithms evolutionary-computation evolutionary-algorithm evolution-strategies evolutionary-strategy
Language:Python 6
SergioNoivak / GraphicalAnt.js
Esta aplicação fornece uma interface web a fim de demonstrar o uso do Algoritmo de colonização de formigas Antsystem
colonyoptimization antsystem ants ant evolutionary-algorithms heuristics interface aco graphs graph-algorithms hamiltonian-cycles hamiltonian evolutionary-computation evolutionary-strategy elitism
Language:JavaScript 6
aliarjomandbigdeli / RBF_net_evolutionary_training
evolutionary-based approach in RBF neural network training
rbf rbf-network evolutionary-strategy classification regression rbf-evolutionary rbf-classifier rbf-regression variable-length-chromosome ai
Language:Python 4
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
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, and high similarity between their components' interactions. This study attempts to go beyond the traps of metaphors and introduce a novel metaphor-free population-based optimization based on the mathematical foundations and ideas of the Runge Kutta (RK) method widely well-known in mathematics. The proposed RUNge Kutta optimizer (RUN) was developed to deal with various types of optimization problems in the future. The RUN utilizes the logic of slope variations computed by the RK method as a promising and logical searching mechanism for global optimization. This search mechanism benefits from two active exploration and exploitation phases for exploring the promising regions in the feature space and constructive movement toward the global best solution. Furthermore, an enhanced solution quality (ESQ) mechanism is employed to avoid the local optimal solutions and increase convergence speed. The RUN algorithm's efficiency was evaluated by comparing with other metaheuristic algorithms in 50 mathematical test functions and four real-world engineering problems. The RUN provided very promising and competitive results, showing superior exploration and exploitation tendencies, fast convergence rate, and local optima avoidance. In optimizing the constrained engineering problems, the metaphor-free RUN demonstrated its suitable performance as well. The authors invite the community for extensive evaluations of this deep-rooted optimizer as a promising tool for real-world optimization. The source codes, supplementary materials, and guidance for the developed method will be publicly available at different hubs at http://aliasgharheidari.com/RUN.html.
optimization optimization-algorithms swarm-intelligence-algorithms swarm-intelligence benchmarking runge-kutta-methods runge-kutta modeling genetic-algorithm particle-swarm-optimization evolutionary-algorithms evolutionary-computation evolutionary-strategy differential-equations differential-evolution optimization-methods optimization-tools optimization-algorithm-library
Language:MATLAB 4
GoingMyWay / NES-Agents
Atari AI Agents powered by Natural Evolution Strategies
evolutionary-strategy natural-evolution-strategies agents artificial-intelligence
Language:Python 4
lettier / bbautotune
Blender/Bullet automatic parameter tuning/learning.
blender thesis blender3d genetic-algorithm evolutionary-algorithms evolutionary-algorithm neural-network neural-networks simulation bullet-physics bullet 3d fitness-landscape evolution evolutionary-computation evolution-simulation evolutionary-strategy physics-engine physics physics-simulation
Language:TeX 4
AmineAmarir / GenericGeneticAlgorithm
Generic implementation of genetic algorithm in Java.
genetic-algorithm artificial-intelligence java java-8 documentation generic evolution metaheuristics optimization evolutionary-algorithms evolutionary-strategy
Language:Java 3
hengdezhu / EDCA-Net
Implementation of EDCA-Net published in International Journal of Neural System.
attention-mechanism deep-learning evolutionary-strategy medical-image-analysis
Language:Python 3
itssamuelrowe / Helix
OneCube Evolve is a simple genetic algorithm library written in Java.
evolutionary-algorithms genetic-algorithm artificial-intelligence optimization optimization-algorithms evolutionary-strategy parallel-algorithm genetic-programming machine-learning
Language:Java 3
LevinaLab / evolution_dynamical_regime
Which dynamical regime is beneficial for biological systems in the context of the criticality hypothesis? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability of agents with respect to their dynamical regime. Paper: https://arxiv.org/abs/2103.12184
artificial-intelligence artificial-neural-networks artificial-life agent-based-modeling ising-model complex-systems evolutionary-algorithm evolutionary-strategy self-organized-criticality criticality phase-transition neuro-evolution non-linear-dynamics dynamical-regime
Language:Python 3
nihalsid / deep-learning-experiments
Small experiments on MNIST to evaluate ES and GA against SGD
mnist neural-networks evolutionary-strategy
Language:Python 3
TeamEightyEight / Assignment1
First assignment for Evolutionary Computing class at @vrije-universiteit-amsterdam
evolutionary-algorithms neat-python pygame evolutionary-strategy vrije-universiteit-amsterdam
Language:Python 3
vkurenkov / bcr-project
Experiments with Guided Evolutionary Strategies for Behavioral Robotics course project at Innopolis Univeristy
evolutionary-strategy natural-evolution-strategies guided-evolutionary-strategies
Language:Python 3
marcocolangelo / Computational-Intelligence
The content of this repository will be inherent to the Computational Intelligence course at Polytechnic University of Turin academic year 2023/2024
episodic-memory evolutionary-algorithms evolutionary-strategy genetic-algorithm intelligence-analysis mcts-implementations monte-carlo-tree-search path-search-algorithm q-learning-algorithm reinforcement-learning steady-state-analysis
Language:Jupyter Notebook 2
Osrip / evolution_dynamical_regime
Paper: https://doi.org/10.1162/isal_a_00412 Which dynamical regime is beneficial for biological systems? Agent-based evolutionary foraging game with experiments to evaluate generalizability, ability to perform complex tasks and evolvability.
artificial-neural-networks ising-model evolutionary-algorithm evolutionary-strategy self-organized-criticality criticality phase-transition dynamical-regime agent-based-modeling neuro-evolution complex-systems non-linear-dynamics artificial-life artificial-intelligence
Language:Python 2

evolutionary-strategy

jenetics / jenetics

esa / pagmo2

esa / pygmo2

openai / EPG

aliasgharheidaricom / Harris-Hawks-Optimization-Algorithm-and-Applications

jakobbossek / ecr2

jbrea / CMAEvolutionStrategy.jl

NiMlr / High-Dim-ES-RL

scheckmedia / cgp-cnn-design

sash-a / es_pytorch

sgonzalez / SwiftCMA

entrpn / fingym

AStupidBear / GCMAES.jl

giuse / machine_learning_workbench

shashankkotyan / RobustArchitectureSearch

satuma777 / evoltier

MarkZH / Genetic_Chess

AshwiniDPrabhu / Evolutionary-Machine-Learning

moshesipper / tiny_ga

underwit / agentsmith

sergio94al / Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

ekorudiawan / JADE

SergioNoivak / GraphicalAnt.js

aliarjomandbigdeli / RBF_net_evolutionary_training

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

GoingMyWay / NES-Agents

lettier / bbautotune

AmineAmarir / GenericGeneticAlgorithm

hengdezhu / EDCA-Net

itssamuelrowe / Helix

LevinaLab / evolution_dynamical_regime

nihalsid / deep-learning-experiments

TeamEightyEight / Assignment1

vkurenkov / bcr-project

marcocolangelo / Computational-Intelligence

Osrip / evolution_dynamical_regime