A project in which nonogram puzzles are solved using genetic algorithms and swarm intelligence. The project compares the performance and quality of different solutions for different sizes of nonograms. The program was written in python using the pygad and pyswarms packages.
Trabalho desenvolvido para a disciplina de Inteligencia Computacional para Otimização
This is a code base, to showcase python knowledge on jupyter notebook, all of this was made during college
Parrallel Genetic Algorithm follows Master-slave architecture.
Fuzzy logic pump controller
Sistema para gestão de fazendas e criação de gado de corte, baseado em visão computacional.
This work presents a reference generator for spider robot legs using Bézier polynomials optimized by a genetic algorithm. A bilevel approach defines the number and parameters of polynomials, considering both motion accuracy and computational cost. Results are validated in a simulation environment.
Computer Intelligence - Perceptron research project in MATLAB
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