This book, 'Aprende Modelando: Programación Lineal Entera-Mixta', serves as a comprehensive guide to learning mixed-integer linear programming (MILP) using AMPL. It is designed to assist readers in understanding and constructing mathematical models for optimization problems that can be formulated through linear programming or MILP. The book introduces problems with increasing levels of complexity and emphasizes a step-by-step approach to model construction, covering problem description, parameter definition, decision variable selection, objective function development, and constraint specification. It includes AMPL code examples and solutions using solvers like CPLEX or Gurobi. This educational resource is intended for students and professionals in operations research, engineering, and data science, aiming to enhance their modeling skills. |