Feature Selection using Genetic Algorithm (DEAP Framework)

ML hyperparameters tuning and features selection, using evolutionary algorithms.

CNN architecture exploration using Genetic Algorithm

[BIBM2024] MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning

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

Emotional Video to Audio Transformation with ANFIS-DeepRNN (Vanilla RNN and LSTM-DeepRNN) [MPE 2020]

A project on improving Neural Networks performance by using Genetic Algorithms.

Kaggle LANL Earthquake Prediction challenge, Genetic Algorithm (DEAP) + CatboostRegressor, private score 2.425 (31 place)

PyTEAP: A Python implementation of Toolbox for Emotion Analysis using Physiological signals (TEAP).

This repository contains a Genetic Algorithm (GA) implementation for solving the Traveling Salesman Problem (TSP).

Ray based map function for Deap with examples. Automatically batches iterator to multiple workers for many processors or clusters.

Trefle is a scikit-learn compatible estimator implementing the FuzzyCoCo algorithm that uses a cooperative coevolution algorithm to find and build interpretable fuzzy systems.

Convolutional Channel Modulator for Transformer and LSTM Networks in EEG-based Emotion Recognition

A stochastic circuit optimizer for Cadence Virtuoso, using the NSGA-II genetic algorithm.

No description provided.

[ICASSP 2022] EEG - Music Cross Modal Learning

Genetic algorithm to solve modular exams scheduling problem written in Python.

Final Year project on Multi Objective Multi robot task allocation using Genetic Algorithms. It explores qualitatively and quantitatively balancing conflicts when optimising tasks scheduling for time and distance in a logistics scenario.

Python Evolutionary Algorithm Visualisation toolkit on DEAP

Evolutionary Composition uses genetic algorithms to create and enhance musical melodies.

No description provided.

Code for my Master's Thesis at the Institute of Medical Informatics, Universität zu Lübeck.

Motif discovery for DNA sequences using multiobjective optimization and genetic programming.

Select materials to output molecules similar to the target molecule with MCTS Solver and Genetic Programming.

Heuristic trading strategy optimizer and tester. Uses backtrader for the actual simulation, deap for genetic algorithm-based optimization and a plug-in based strategy for ease of use and flexibility supporting external plugins using python-built in plugin system.

Distributed Evolutionary Algorithms in Golang

🧬learn DEAP, python lib for GA (not deep learning)

Development of genetic algorithm using DEAP library

Playing around with DEAP's genetic programming to generate a regex that matches everything in one list and nothing in another list

Harness the power of Genetic Algorithms to optimize vehicle routes for the Vehicle Routing Problem (VRP) with this Python-based solution. Achieve up to 15% reduced travel distance and 20% improved delivery efficiency using the DEAP library for evolutionary computation. Visualize your results with Matplotlib for clear, data-driven decisions. 📈🧬