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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.
Parallel evolutionary algorithm that represents images with polygons using edge detection and denoising. Configuration is carried out through normality tests and pairwise comparisons.
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. 📈🧬
DEAP is a novel evolutionary computation framework for rapid prototyping and testing of ideas. In this project, a GA is used to calculate a graph distances.
Through the application of an evolutionary algorithm, the aim is to generate an artistic representation that emulates an image by means of a connected network of triangles given a fixed number of vertices.
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.
Using Analytic Hierarchy Process (AHP) and Data Envelopment Analysis (DEA), a comprehensive analysis of material and spiritual indicators of some universities in Ontario, Canada is conducted, and corresponding performance evaluations of the universities are made.