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98 search results found

Scikit Opt ⭐ 4,648

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

Pymoo ⭐ 1,886

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

Geneticalgorithmpython ⭐ 1,564

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

Geneticsharp ⭐ 1,159

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

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.

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

A Genetic Algorithm Framework in Python

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

🎯 A comprehensive gradient-free optimization framework written in Python

Evolutionary.jl ⭐ 290

Evolutionary & genetic algorithms for Julia

Gekkoga ⭐ 284

Genetic Algorithm for solving optimization of trading strategies using Gekko

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.

Neuralgenetic ⭐ 201

Building and training artificial neural networks (regression or classification) using the genetic algorithm.

MoveIt kinematics_base plugin based on particle optimization & GA

Biteopt ⭐ 118

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

Genetic algorithm for unsupervised machine learning in Go.

Optframe ⭐ 64

OptFrame - Optimization Framework

A genetic algorithm implementation in python

Route Optimizer Machine Learning ⭐ 58

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

Liboptimization ⭐ 52

LibOptimization is numerical optimization algorithm library for .NET Framework. / .NET用の数値計算、最適化ライブラリ

Chips N Salsa ⭐ 48

A Java library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

Modest Py ⭐ 42

FMI-compliant Model Estimation in Python

Modern Fortran Edition of the Pikaia Genetic Algorithm

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

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

Functions, examples and data from the first and the second edition of "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658). This repository mirrors https://gitlab.com/NMOF/NMOF .

This repository contains the source code for “Thompson sampling efficient multiobjective optimization” (TSEMO).

Xoptfoil ⭐ 31

Airfoil optimization with Xfoil

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).

A python metaheuristic optimization library. Currently supports Genetic Algorithms, Gravitational Search, Cross Entropy, and PBIL.

sopt:A simple python optimization library

Open-source framework for adaptive manufacturing processes scheduling

Source Code Automated Refactoring Toolkit

Propulate ⭐ 24

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

Windfarmga ⭐ 24

R Package to Optimize Windfarm Layouts

Mathcore ⭐ 24

Advanced .NET math library (.NET Standard).

Parameterize.net ⭐ 24

Parameterize.Net is a library that allows developers to represent complex objects using float array.

Evolp.jl ⭐ 23

A playground for evolutionary computation in Julia

Modular Java framework for meta-heuristic optimization

Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Yarpiz Evolutionary Algorithms Toolbox for MATLAB

Multi_objective_optimization_matlab ⭐ 21

MATLAB Tool for Multi-Objective Optimization

Revolver ⭐ 21

A framework for building fast genetic algorithms in Swift.

Geneticalgorithm2 ⭐ 20

Supported genetic algorithm package for python

GaudiMM: A modular optimization platform for molecular design

8queensgenetic ⭐ 18

Optimizing the 8 Queens Puzzle using the Genetic Algorithm (PyGAD).

Genetic Algorithm and Particle Swarm Optimization

Geneticalgo_openaigymcartpole ⭐ 15

Implementation of Genetic Algorithm to balance inverted pendulum in OpenAI gym environment

Optimisationalgorithms ⭐ 15

Searching global optima with firefly algorithm and solving traveling salesmen problem with genetic algorithm

Ascension ⭐ 15

A metaheuristic optimization framework

Quantum-inspired evolutionary algorithms for Optimization problems

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.

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

Nature Inspired Optimization Algorithms

Pareto Optimal Student Supervisor Allocation ⭐ 14

🎓An AI tool to assist universities with optimal allocation of students to supervisors for their dissertations. Devised a multi-objective genetic algorithm for the task.

A fast and simple C++ library of Genetic Algorithms only for real domain (float), useful for nonlinear optimization with constraints

Ga Cfd Mo ⭐ 14

Genetic algorithms applied in Computer Fluid Dynamics for multiobjective optimization - Senior Thesis in Mechanical Engineering at the University of Vermont

Goodenoughalgs ⭐ 13

Simple working examples of heuristic optimization algorithms

Samplingstrata ⭐ 13

R package for Optimal Stratification of Sampling Frames for Multipurpose Sampling Surveys

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

Genetic_deep_learning ⭐ 13

constrained/unconstrained multi-objective bayesian optimization package.

Pygenetic ⭐ 12

A multi-purpose genetic algorithm written in python

Evolutionary Optimization ⭐ 11

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

Top Genetic Algorithm ⭐ 11

Top Vision Github Projects

Paper_bergonti_2022_tro_kinematics Control Morphingcovers ⭐ 10

Supplementary Material "Modeling and Control of Morphing Covers for the Adaptive Morphology of Humanoid Robots" published in IEEE Transactions on Robotics 2022

Accessible and modern implementations of common optimization algorithms.

Wrapper Feature Selection Toolbox ⭐ 9

This toolbox offers more than 40 wrapper feature selection methods include PSO, GA, DE, ACO, GSA, and etc. They are simple and easy to implement.

Geneticpy ⭐ 9

GeneticPy is an optimizer that uses a genetic algorithm to quickly search through custom parameter spaces for optimal solutions.

This repository contains algorithms in C++ to solve the Capacitated Vehicle Routing Problem (cvrp).

EE6227 Genetic Algorithms & Machine Learning

A collection of modern heuristic optimization framework written in Rust

Galibrate ⭐ 8

Parameter estimation and model calibration using Genetic Algorithm optimization in Python.

Generic Optimization by Genetically Evolved Operation Trees

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

Optimized and benchmarked parallel Genetic Algorithm with inequality constraints, and a scipy-like interface

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.

Wind Turbines Edge Ai ⭐ 7

Detect wind turbine errors using a hybrid model. Utilize ML, DL, edge computing. Dataset, neural network optimized with genetic algorithms. Low computational power ML models. Data is stored in the cloud. Turbine status via secure APIs. Password encryption. GRASP, SOLID

Intro_to_param_estim ⭐ 7

Parameter estimation of ODE models describing biological processes

Group_travel_optimization ⭐ 7

Use various optimization techniques, e.g. hill climbing, simulated annealing and genetic algorithm to optimize a group travel planning problem

Genetic Algorithm ⭐ 7

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

Source code of HG-means clustering, from "HG-means: A scalable hybrid genetic algorithm for minimum sum-of-squares clustering". (Gribel and Vidal, 2019)

Evolving Cnns Using Ga ⭐ 6

Evolving Architectures for Convolutional Neural Networks using the Genetic Algorithm

Thefittest ⭐ 6

Implementation of data mining methods that use evolutionary algorithms

Forex Genetic ⭐ 6

Genetic Algorithm for optimization of trading rules

Inveniemus.js ⭐ 6

A search and optimization library, focusing on metaheuristics.

Philharmonic ⭐ 6

A Geo-Distributed Cloud Simulator.

Coveragega ⭐ 6

Source code of Optimizing Coverage in a K-Covered and Connected Sensor Network Using Genetic Algorithms paper

Knapsack Packing ⭐ 6

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

Code_otwo_elm ⭐ 6

(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization

Vrptw_ga_pso ⭐ 6

Vehicle Routing Problem with Time Windows solver using Genetic Algorithm and Particle Swarm Optimization

Ai Flappy Bird ⭐ 6

Optimization of Artificial Neural Networks with Genetic Algorithm

Java Touroptimizer Examples ⭐ 6

Examples are written in Java dedicated to JOpt-TourOptimizer

A fast parallel genetic algorithm implementation in C++.

Fuzzy Clustering Based On Foa ⭐ 6

Fuzzy clustering based on Forest optimization algorithm in Matlab

Optimisation Algorithms ⭐ 6

A collection of the most commonly used Optimisation Algorithms for Data Science & Machine Learning

Feature Selection Library for Data Sciences in Python

Pyqt_genetic_algo ⭐ 5

genetic algorithm usage for routing optimization ( pyqt )

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