Bruno Scalia C. F. Leite – Medium

Bruno Scalia C. F. Leite

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Towards Data Science

A Comprehensive Guide to Modeling Techniques in Mixed-Integer Linear Programming

Convert ideas into mathematical expressions to solve operations research problems

13 min readMar 11, 2024

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A Comprehensive Guide to Modeling Techniques in Mixed-Integer Linear Programming

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Bruno Scalia C. F. Leite
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Towards Data Science

Linear programming: Theory and applications

Linear optimization main concepts and implementation in Python

13 min readApr 5, 2023

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Linear programming: Theory and applications

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Bruno Scalia C. F. Leite
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Towards Data Science

Nonlinear programming: Theory and applications

Gradient-based line search optimization algorithms explained in detail and implemented from scratch in Python

16 min readMar 24, 2022

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Nonlinear programming: Theory and applications

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Bruno Scalia C. F. Leite
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Towards Data Science

pymoode: Differential Evolution in Python

Solve single- and multi-objective optimization problems using Differential Evolution algorithms

20 min readMay 31, 2022

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pymoode: Differential Evolution in Python

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Bruno Scalia C. F. Leite
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Towards Data Science

Constructive Heuristics in Discrete Optimization

Obtain initial solutions for combinatorial optimization problems with Python examples

11 min read2 days ago

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Constructive Heuristics in Discrete Optimization

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Bruno Scalia C. F. Leite
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Towards Data Science

The Graph Coloring Problem: Exact and Heuristic Solutions

Exploring the classical discrete optimization problem through custom constructive heuristics and integer programming in Python

10 min readNov 13, 2023

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The Graph Coloring Problem: Exact and Heuristic Solutions

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Bruno Scalia C. F. Leite
in
Towards Data Science

Designing Operations Research Solutions: A User-friendly Routing Application with Streamlit

From mathematical models to software engineering in Python

12 min readSep 30, 2023

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Designing Operations Research Solutions: A User-friendly Routing Application with Streamlit

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Bruno Scalia C. F. Leite
in
Towards Data Science

The Facility Dispersion Problem: Mixed-Integer Programming Models

A comprehensive Python tutorial on the p-dispersion and maxisum models

10 min readSep 9, 2023

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The Facility Dispersion Problem: Mixed-Integer Programming Models

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Bruno Scalia C. F. Leite
in
Towards Data Science

The Vehicle Routing Problem: Exact and Heuristic Solutions

Understand how to solve complex routing problems with Python

13 min readAug 4, 2023

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The Vehicle Routing Problem: Exact and Heuristic Solutions

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Bruno Scalia C. F. Leite
in
Towards Data Science

Column Generation in Linear Programming and the Cutting Stock Problem

How to solve linear problems with a large number of decision variables illustrated with a Python example

9 min readJun 13, 2023

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Column Generation in Linear Programming and the Cutting Stock Problem

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Bruno Scalia C. F. Leite

Bruno Scalia C. F. Leite

Chemical Engineer, Researcher, Optimization Enthusiast, and Data Scientist passionate about describing phenomena using mathematical models.

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