Evolutionary strategies for function optimization
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Updated
Sep 27, 2021 - MATLAB
Evolutionary strategies for function optimization
Python implementation of evolution strategy based on Information Geometry. This library includes CMA-ES, NES, CompactGA and PBIL.
Two simulations that may explain the origin of morality within the framework of evolutionary game theory.
Evolution Strategy (ES) in MATLAB according to the generational ES algorithm that search for a real-valued vector of length 30, which represents the thickness of each layer in a 30-layered optical system.
Cyber therapy ,experimental concept 0f social engineering for the good
https://www.researchgate.net/publication/350344034_Sequence-based_model_of_cumulative_cultural_evolution Evolutionary Algorithm based on Cumulative Cultural Evolution. Uses a mix of gradient descent - individual learning - and inheritance - copying - that selection acts upon. Serves as sequene-based model of cumulative cultural evolution - Focus…
Implementation of the "Evolutionary Strategy" algorithm in Java. It can be used to optimize parameters using evolutionary computation.
ES using GP as objective function approximation
Particle Swarm Optimization and Evolutionary Strategy
Dissertation for Imperial BEng Maths and CS
Meta-Evolver is a tool for a visual representation of the various dynamic environment models that correlate in multi-layered system. Meta-Evolved provides the environment for testing dynamic spatial adaptation, where the environment is composed of algorithms and parametric definitions.
A comprehensive suite of Python-based machine learning models for predictive analytics, employing different evolutionary algorithms for data analysis across various topics.
Genetic algorithm final project
Evolutionary Path Finding.
Root dir for Reinforcement Learning and Evolutionary Strategies
Evolutionary computing and variational optimization for training neural networks
Projekt na przedmiot Algorytmy Genetyczne
Various studies show that criticality is an attractor in biological evolution. Which conditions have to be fulfilled, such that criticality acts as an attractor in our neuroevolution simulation? -- Masters Thesis Project ---
A multi agent re-enforcement learning environment for many on many bot fights between space ships
Course of Stochastic Optimization in ISAE-SUPAERO
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