Learn about the different types of linear programming models used in optimization for algorithms, such as standard, canonical, integer, mixed-integer, and quadratic models.

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

Machine Learning Algorithms: Computational models that enable systems to learn from data and improve decision-making without explicit programming. Inventory Classification and Optimization ...

Abstract: This study develops an advanced dynamic optimization model that leverages Mixed-Integer Linear Programming (MILP) alongside the Genetic Algorithm (GA) to tackle complex resource allocation ...