List: Tales of the Optimization Age | Curated by Bruno Scalia C. F. Leite

May 30, 2024
15 stories
14 saves
Tales of the Optimization AgeA collection of stories about numerical optimization and operations research
Bruno Scalia C. F. Leite
in
Towards Data Science
A Comprehensive Guide to Modeling Techniques in Mixed-Integer Linear ProgrammingConvert ideas into mathematical expressions to solve operations research problems
Mar 11
3
Mar 11
3
Bruno Scalia C. F. Leite
in
Towards Data Science
Linear programming: Theory and applicationsLinear optimization main concepts and implementation in Python
Apr 5, 2023
2
Apr 5, 2023
2
Bruno Scalia C. F. Leite
in
Towards Data Science
Nonlinear programming: Theory and applicationsGradient-based line search optimization algorithms explained in detail and implemented from scratch in Python
Mar 24, 2022
1
Mar 24, 2022
1
Bruno Scalia C. F. Leite
in
Towards Data Science
Designing Operations Research Solutions: A User-friendly Routing Application with StreamlitFrom mathematical models to software engineering in Python
Sep 30, 2023
1
Sep 30, 2023
1
Bruno Scalia C. F. Leite
in
Towards Data Science
A Gentle Introduction to Branch & BoundThe most fundamental integer and mixed-integer programming algorithm explained with Python
Oct 25, 2022
Oct 25, 2022
Bruno Scalia C. F. Leite
in
Towards Data Science
Constructive Heuristics in Discrete OptimizationObtain initial solutions for combinatorial optimization problems with Python examples
May 30
1
May 30
1
Bruno Scalia C. F. Leite
in
Towards Data Science
The Vehicle Routing Problem: Exact and Heuristic SolutionsUnderstand how to solve complex routing problems with Python
Aug 4, 2023
3
Aug 4, 2023
3
Bruno Scalia C. F. Leite
in
Towards Data Science
The Graph Coloring Problem: Exact and Heuristic SolutionsExploring the classical discrete optimization problem through custom constructive heuristics and integer programming in Python
Nov 13, 2023
2
Nov 13, 2023
2
Bruno Scalia C. F. Leite
in
Towards Data Science
Column Generation in Linear Programming and the Cutting Stock ProblemHow to solve linear problems with a large number of decision variables illustrated with a Python example
Jun 13, 2023
1
Jun 13, 2023
1
Bruno Scalia C. F. Leite
in
Towards Data Science
The Facility Dispersion Problem: Mixed-Integer Programming ModelsA comprehensive Python tutorial on the p-dispersion and maxisum models
Sep 9, 2023
1
Sep 9, 2023
1
Bruno Scalia C. F. Leite
in
Towards Data Science
The Job-Shop Scheduling Problem: Mixed-Integer Programming ModelsMathematical modeling and Python implementation of the classical sequencing problem using Pyomo
Mar 7, 2023
4
Mar 7, 2023
4
Bruno Scalia C. F. Leite
in
Towards Data Science
The dynamic lot-size model: A mixed-integer programming approachThe classical inventory management optimization problem solved in Python using Pyomo
Feb 1, 2023
Feb 1, 2023
Bruno Scalia C. F. Leite
in
Towards Data Science
pymoode: Differential Evolution in PythonSolve single- and multi-objective optimization problems using Differential Evolution algorithms
May 31, 2022
4
May 31, 2022
4
Bruno Scalia C. F. Leite
in
Towards Data Science
An introduction to mixed-integer linear programming: The knapsack problemLearn how to solve optimization problems in Python using scipy and pyomo
Jul 1, 2022
Jul 1, 2022
Bruno Scalia C. F. Leite
in
DataDrivenInvestor
The modern portfolio theory: A multi-objective approachObtain the Markowitz efficient frontier using multi-objective optimization in Python
Sep 7, 2022
2
Sep 7, 2022
2