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evolutionary-algorithm x

29 search results found

Geneticalgorithmpython ⭐ 1,564

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Platemo ⭐ 1,292

Evolutionary multi-objective optimization platform

Vizier ⭐ 1,142

Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Evotorch ⭐ 941

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

Jenetics ⭐ 806

Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

🎯 A comprehensive gradient-free optimization framework written in Python

Evolopy ⭐ 331

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

Evolutionary.jl ⭐ 290

Evolutionary & genetic algorithms for Julia

Optimal Roadtrip Usa ⭐ 218

Contains maps for the article, "Computing the optimal road trip across the U.S." and similar articles

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

A bare-bones Python library for quality diversity optimization.

MoveIt kinematics_base plugin based on particle optimization & GA

PyPop7: A Pure-Python Library for POPulation-based Black-Box Optimization (BBO), especially their *Large-Scale* versions/variants. https://pypop.rtfd.io/

Yet another black-box optimization library for Python

Biteopt ⭐ 118

Derivative-Free Global Optimization Method (C++, Python binding)

Genetic algorithm for unsupervised machine learning in Go.

Nonconvex.jl ⭐ 100

Toolbox for gradient-based and derivative-free non-convex constrained optimization with continuous and/or discrete variables.

Mto Platform ⭐ 84

Multitask Optimization Platform (MToP)

Paradiseo ⭐ 74

An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

Stochopy ⭐ 74

Python library for stochastic numerical optimization

Behavior Optimization and Learning for Robots

Route Optimizer Machine Learning ⭐ 58

Route optimization solution which uses evolutionary algorithm with XGBoost model to optimize travel times.

A theoretically-grounded derivative-free optimization method, born from a statistical view of evolutionary algorithms

ecr: Evolutionary Computation in R (version 2)

Jmetalsp ⭐ 35

A framework for Big Data Optimization with multi-objective metaheuristics

Moe is a C++14 header-only dependency-free library providing generic implementations of some metaheuristic algorithms

Metaheuristics / Blackbox Optimization Algorithms for Go: Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Tabu Search, Particle Swarm Optimization ...

Go evolutionary algorithm is a computer library for developing evolutionary and genetic algorithms to solve optimisation problems with (or not) many constraints and many objectives. Also, a goal is to handle mixed-type representations (reals and integers).

Estimation of Distribution algorithms Python package

Cmaevolutionstrategy.jl ⭐ 27

Differential Evolution ⭐ 26

Single header c++ implementation of Differential Evolution algorithm for general purpose optimization.

Differential evolution in R

Harris Hawks Optimization Algorithm And Applications ⭐ 25

Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/ In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).

Propulate ⭐ 24

Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.

Modular Java framework for meta-heuristic optimization

Map Elites ⭐ 23

Python implementation of the genetic algorithm MAP-Elites with applications in constrained optimization

MFEA 2 (or MFEA-II). Multifactorial Evolutionary Optimization with Online Transfer Parameter Estimation in Python

Revolver ⭐ 21

A framework for building fast genetic algorithms in Swift.

Geneticalgorithm2 ⭐ 20

Supported genetic algorithm package for python

High Dim Es Rl ⭐ 19

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

Mlr3fselect ⭐ 17

Feature selection package of the mlr3 ecosystem.

Genetic Algorithm and Particle Swarm Optimization

Implementation of metaheuristic optimization methods in Python for scientific, industrial, and educational scenarios. Experiments can be executed in parallel or in a distributed fashion. Experimental results can be evaluated in various ways, including diagrams, tables, and export to Excel.

Nature Inspired Optimization Algorithms

Quantum-inspired evolutionary algorithms for Optimization problems

A performant and flexible genetic algorithm implemented in C++20/23.

EARS is a free and open-source Java-based framework for ranking, developing, and experimenting with single- and multi-objective evolutionary algorithms

A library for automatically designing metaheuristic optimizers.

Official implementation of GMOEA.

Differential Evolution for Multiobjective Optimization and its variants

Particle Swarm Optimization Fortran 95 ⭐ 11

A Fortran 95 code for Particle Swarm Optimization. The code is general. The fitness function is defined in a separate file and can be replaced by any user defined fitness function.

Python implementation of state-of-art meta-heuristic and evolutionary optimization algorithms.

Revolve2 ⭐ 11

A python library for optimization, geared towards modular robots and evolutionary computing.

Evolutionary Optimization ⭐ 11

A collection of black-box optimizers with a focus on evolutionary algorithms

Accessible and modern implementations of common optimization algorithms.

Official implementation of "Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning"

Find Global Maximum ⭐ 9

Simulation of life like characters and several learning algorithms to test the ability of each algorithm to enable the characters reaching global maximum with minimum effort

Optimization Studies ⭐ 8

Trading system optimization algorithm studies

A book on optimization algorithms.

EE6227 Genetic Algorithms & Machine Learning

Forest Optimization Algorithm - Matlab Code

Kgb Dmoea ⭐ 8

A Python implementation of the Knowledge Guided Bayesian Dynamic Multi-Objective Evolutionary Algorithm (KGB-DMOEA)

Actmax Optimizer Dev ⭐ 8

The official repo for GECCO 2022 paper High-Performance Evolutionary Algorithms for Online Neuronal Control in vivo and in silico

Genetic Algorithm ⭐ 7

Python class for a genetic algorithm to solve an optimization problem with n control variables

Evolutionary Timetable Scheduling ⭐ 7

An algorithm for creating a good timetable for the Faculty of Computing. The algorithm is based on evolutionary strategies, more precisely on the 1+1 evolutionary strategy and Shotgun hill climbing.

Machine_learning_workbench ⭐ 7

Workbench for practical machine learning in Ruby.

A convenient PLATform for Single Objective Optimization

Evolutionary Algorithm implemented in Go

Duelist Algorithm Python ⭐ 7

A Python implementation of the paper "Duelist Algorithm: An Algorithm Inspired by How Duelist Improve Their Capabilities in a Duel" https://arxiv.org/abs/1512.00708

Cultural Algorithms framework

Slime Mould Algorithm A New Method For Stochastic Optimization ⭐ 6

In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based upon the oscillation mode of slime mould in nature. The proposed SMA has several new features with a unique mathematical model that uses adaptive weights to simulate the process of producing positive and negative feedback of the propagation wave of slime mould based on bio-oscillator to form the optimal path for connecting food with excellent exploratory ability and exploitation propensity.

Java Genetic Programming ⭐ 6

Genetic-programming framework for various genetic programming paradigms such as linear genetic programming, tree genetic programming, gene expression programming, etc

The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation

Spea2 Icoptimizer ⭐ 6

A high-level implementation of SPEA2 evolutionary algorithm on IC optimization

Knapsack Packing ⭐ 6

Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)

Thefittest ⭐ 6

Implementation of data mining methods that use evolutionary algorithms

C++ Optimization Library

Trajopt_de ⭐ 5

Spacecraft trajectory optimization using differential evolution

R Many-Objective Evolutionary Algorithms

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