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Achievement: Pull Sharkx3Achievement: YOLOAchievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Arctic Code Vault Contributor

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ropinho/README.md

Hello, World! I'm Ronaldd Pinho

About me

I am just a guy from the interior of the northern region of Brazil who loves programming, science, and technology. I am software engineer at Mercado Libre and a Master in computer science researching optimization algorithms in logistics and routing as a member of the LAAI (Laboratory of Applied Artificial Intelligence) at Federal University of Pará.

I have a technical profile. I'm a C++ developer, Linux and open-source software enthusiastic, actually working with Golang for web services and, I have interests in mid-level languages such as Rust.

As both a developer and a scientist, I believe in the power of the community to build better and safer things, sharing knowledge is the best way to improve it.

From: 21 March 2022 - To: 26 December 2024

Total Time: 1,121 hrs 41 mins

Go                         517 hrs 53 mins ███████████▓░░░░░░░░░░░░░   46.17 %
Java                       181 hrs 7 mins  ████░░░░░░░░░░░░░░░░░░░░░   16.15 %
Python                     172 hrs 27 mins ████░░░░░░░░░░░░░░░░░░░░░   15.38 %
JavaScript                 73 hrs 44 mins  █▓░░░░░░░░░░░░░░░░░░░░░░░   06.57 %
C++                        24 hrs 49 mins  ▓░░░░░░░░░░░░░░░░░░░░░░░░   02.21 %

Pinned Loading

  1. crossover-study crossover-study Public

    Comparison of Crossover operators of Genetic Algorithms in combinatorial optimization problems

    C++

  2. nojhan/paradiseo nojhan/paradiseo Public

    An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers

    C++ 99 34

  3. dotfiles dotfiles Public

    My dotfiles, and... is this.

    Shell

  4. loggi/loggibud loggi/loggibud Public

    Real-world benchmarks for urban delivery problems, including vehicle routing and facility location problems.

    Python 183 31

  5. results-paper-cec2020 results-paper-cec2020 Public

    Arquivos gerados com a execução do Algoritmo Genético para o problema de alocação de chaves seccionadoras

    Jupyter Notebook