evolutionary-algorithm

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

Space invaders, but the invaders evolve with genetic algorithm

🧬 Training the car to do self-parking using a genetic algorithm

🎯 A comprehensive gradient-free optimization framework written in Python

Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.

SharpNEAT - Evolution of Neural Networks. A C# .NET Framework.

KaHIP -- Karlsruhe HIGH Quality Partitioning.

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

Genetic Algorithm in C++ with template metaprogramming and abstraction for constrained optimization

a python grammar for evolutionary algorithms and heuristics

A lightweight, generic C++11 framework for evolutionary computation

A framework for gene expression programming (an evolutionary algorithm) in Python

MoveIt kinematics_base plugin based on particle optimization & GA

A Neural Networking library based on NumPy only

Genetic algorithm for unsupervised machine learning in Go.

Search the best feature subset for you classification mode

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (ICML 2018)

A Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

Tiny Genetic Programming in Python

A C++ evolutionary computation framework to build parallel stochastic optimization solvers

Python library for stochastic numerical optimization

A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)

Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.

An evolutionary computation framework

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 Genetic Programming Approach to Designing CNN Architectures, In GECCO 2017 (oral presentation, Best Paper Award)

[OLD] 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 ...

ecr: Evolutionary Computation in R (version 2)