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.
Paper: Challenges in High-dimensional Reinforcement Learning with Evolution Strategies
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.
[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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