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11 search results found

Evotorch ⭐ 941

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

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

🎯 A comprehensive gradient-free optimization framework written in Python

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

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.

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

Biteopt ⭐ 118

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

Genetic algorithm for unsupervised machine learning in Go.

Distributedevolutionarycomputation ⭐ 84

A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and conferences. For EC-focused publications, only Parallel/Distributed EC are covered.

Execute genetic algorithm (GA) simulations in a customizable and extensible way.

Paradiseo ⭐ 74

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

GARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.

NeuroEvolution Optimization with Reinforcement Learning

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

Differential Evolution ⭐ 26

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

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).

Geneticalgorithm2 ⭐ 20

Supported genetic algorithm package for python

Quantum-inspired evolutionary algorithms for Optimization problems

Nature Inspired Optimization Algorithms

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.

Microgp3 ⭐ 13

A multi-purpose extensible self-adaptive evolutionary tool

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.

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.

Accessible and modern implementations of common optimization algorithms.

Forest Optimization Algorithm - Matlab Code

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

EE6227 Genetic Algorithms & Machine Learning

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.

Genetic Algorithm ⭐ 7

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

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

Machine_learning_workbench ⭐ 7

Workbench for practical machine learning in Ruby.

Thefittest ⭐ 6

Implementation of data mining methods that use evolutionary algorithms

Simple Evolutionary Feature Search ⭐ 6

evolutionary feature algorithm for finding features in the models

Knapsack Packing ⭐ 6

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

Java Genetic Programming ⭐ 6

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

Related Searches

Python Evolutionary Algorithm (320)

Python Optimization Algorithms (297)

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