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. 📈🧬

Culebra is a DEAP-based evolutionary computation library designed to solve feature selection problems.

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

Symbolic regression of physical models via Genetic Programming.

ML hyperparameters tuning and features selection, using evolutionary algorithms.

HPO for DNN and other ML algorithms

Using Genetic programming, to evolve stategies that preditors and preys will use in a simulated environment, such that Preditors get better at catching preys over time (generations).

Using Genetic programming, an Evolutionary Algorithm, to solve and research the problem of Symbolic regression analysis and Rice Classification.

This repository contains an improvement for any covariance-matix-adaptation-like evolution strategy exploiting gradient or its estimation

Cryptocurrency wallet management using numerical optimisation

The paper investigates Genetic Algorithms (GAs) for extractive summarization, aiming for efficiency compared to deep learning.

An Evolutionary Scalable Framework for Synthetic Data Generation based in Data Complexity.

Ejemplos de Computación Neuronal y Evolutiva

Thesis activity carried out during the laboratory internship at the University of Parma, the goal is to generate filters for denoise and edge detection using genetic programming.

Chess simulation with use of evolutional algorithms

Parallel evolutionary algorithm that represents images with polygons using edge detection and denoising. Configuration is carried out through normality tests and pairwise comparisons.

R, RMARKDOWN E HTML - Proj Capacidade Produtiva - Etapa II - O atual momento de escassez orçamentária/financeira e de pessoal em que se encontra o o mercado, vem exigindo esforços pela busca de métodos de planejamento que otimizem o uso dos recursos, priorizem demandas, aumentem a produtividade e o impacto das ações de supervisão de mercado.

R, RMARKDOWN E HTML - Proj Capacidade Produtiva - Etapa I - O atual momento de escassez orçamentária/financeira e de pessoal em que se encontra o o mercado, vem exigindo esforços pela busca de métodos de planejamento que otimizem o uso dos recursos, priorizem demandas, aumentem a produtividade e o impacto das ações de supervisão de mercado.

Genetic algorithm finds the shortest way in the maze