gogaGo 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).
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tiny gpTiny Genetic Programming in Python
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Dino-AIAn AI to teach Google Chrome's dinosaur to jump obstacles.
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GeneticsJSEvolutionary algorithms library for the web 🧬
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jMetalSPA framework for Big Data Optimization with multi-objective metaheuristics
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Pagmo2A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Stars: ✭ 540 (+2060%)
geneticalgorithm2Supported highly optimized and flexible genetic algorithm package for python
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EvOLuTIoNA simple simulation in Unity, which uses genetic algorithm to optimize forces applied to cubes
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TorchGATrain PyTorch Models using the Genetic Algorithm with PyGAD
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datafsmMachine Learning Finite State Machine Models from Data with Genetic Algorithms
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biteoptDerivative-Free Optimization Method for Global Optimization (C++)
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Eaopt🍀 Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)
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evolvableAn evolutionary computation framework
Stars: ✭ 43 (+72%)
JeneticsJenetics - Genetic Algorithm, Genetic Programming, Evolutionary Algorithm, and Multi-objective Optimization
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Optimized-MDVRP"Using Genetic Algorithms for Multi-depot Vehicle Routing" paper implementation.
Stars: ✭ 30 (+20%)
bio ikMoveIt kinematics_base plugin based on particle optimization & GA
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NEATESTNEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
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zoofszoofs 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.
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WatchmakerThe Watchmaker Framework for Evolutionary Computation
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evoliGenetic Algorithm and Particle Swarm Optimization
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Applying eannsA 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modified genetic algorithm.
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Evolutionary.jlEvolutionary & genetic algorithms for Julia
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MealpyA collection of the state-of-the-art MEta-heuristics ALgorithms in PYthon (mealpy)
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GARIGARI (Genetic Algorithm for Reproducing Images) reproduces a single image using Genetic Algorithm (GA) by evolving pixel values.
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trshProject about minimizing costs in garbage collection in Montevideo, Uruguay, using Evolutionary Algorithms
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BluepyoptBlue Brain Python Optimisation Library
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arjaMulti-Objective GP for Automated Repair of Java
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GeneticalgorithmpythonSource code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
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triangulaGenerate high-quality triangulated and polygonal art from images.
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self-propelled-satellitesThe system is formed by self-propelled satellites influenced by the Sun whose objective is not to leave the domain maintaining the maximum possible speed.
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apxr runA topology and parameter evolving universal learning network.
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KnapsackFXSolving Knapsack 0/1 problem with various Local Search algorithms like Hill Climbing, Genetic Algorithms, Simulated Annealing, Tabu Search
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cgp-cnn-designUsing Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture
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MAP-ElitesPython implementation of the genetic algorithm MAP-Elites with applications in constrained optimization
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mathcoreAdvanced .NET math library (.NET Standard).
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hal-cgpCartesian genetic programming (CGP) in pure Python.
Stars: ✭ 20 (-20%)
ldcaSelf-replicating, self-modifying Assembly program that can evolve into every possible computer program in the universe (EXPERIMENTAL)
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vOptGeneric.jlSolver of multiobjective linear optimization problems (MOMIP, MOLP, MOIP, MOCO): generic part
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Smart-RocketsThis project is a fun little demo of a genetic algorithm. A population of rockets attempt to find their way to a a target.
Stars: ✭ 15 (-40%)
genetic-algorithmGenetic algorithm for walking simulation. Online demo: https://rossning92.github.io/genetic-algorithm/
Stars: ✭ 86 (+244%)
ASD-ML-APIThis project has 3 goals: To find out the best machine learning pipeline for predicting ASD cases using genetic algorithms, via the TPOT library. (Classification Problem) Compare the accuracy of the accuracy of the determined pipeline, with a standard Naive-Bayes classifier. Saving the classifier as an external file, and use this file in a Flask…
Stars: ✭ 14 (-44%)
ruck🧬 Modularised Evolutionary Algorithms For Python with Optional JIT and Multiprocessing (Ray) support. Inspired by PyTorch Lightning
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mosesMOSES Machine Learning: Meta-Optimizing Semantic Evolutionary Search. See also AS-MOSES https://github.com/opencog/asmoses but kept to guaranty backward compatibility.
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paradiseoAn evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
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SimpleGPSimple Genetic Programming for Symbolic Regression in Python3
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Drowsy💤🖌️ AI making tiny Bitsy video games. Features an experimental generative structure inspired by GANs and Genetic Algorithms
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UofT-Timetable-GeneratorA web application that generates timetables for university students at the University of Toronto
Stars: ✭ 34 (+36%)
darkgreyboxDarkGreyBox: An open-source data-driven python building thermal model inspired by Genetic Algorithms and Machine Learning
Stars: ✭ 25 (+0%)