A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
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Updated
Apr 4, 2024 - C++
A C++ platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization
Code for the paper "Evolved Policy Gradients"
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Source codes for HHO paper: Harris hawks optimization: Algorithm and applications: https://www.sciencedirect.com/science/article/pii/S0167739X18313530. In this paper, a novel population-based, nature-inspired optimization paradigm is proposed, which is called Harris Hawks Optimizer (HHO).
ecr: Evolutionary Computation in R (version 2)
Gradient-based Covariance Matrix Adaptation Evolutionary Strategy for Real Blackbox Optimization
A tool for developing reinforcement learning algorithms focused in stock prediction
Using Cartesian Genetic Programming to find an efficient Convolutional Neural Network architecture
Workbench for practical machine learning in Ruby.
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
[WIP] Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.
A pure-Swift implementation of Covariance Matrix Adaptation Evolutionary Strategy (CMA-ES).
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an…
Нейронная сеть оптимизируемая с помощью генетического алгоритма. Задача агента контролируемого при помощи нейронной сети состоит в том, чтобы избегать контакта с противниками, как можно более длительное время.
Tiny Genetic Algorithm in Python
An amateur attempt at breeding a chess-playing AI.
A predator-prey model demonstrating an evolutionary arms race with respect to flocking behavior.
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