Optimization Use Cases in Software Engineering
Understand various optimization approaches in software engineering through practical use cases such as resource allocation, compiler improvements, database query planning, machine learning hyperparameter tuning, and task scheduling using methods like linear programming, random search, Bayesian optimization, and evolutionary algorithms.
In software engineering, optimization is a fundamental practice that aims to improve various aspects of software systems, ranging from algorithm efficiency to resource allocation and parameter tuning.
Resource allocation
Resource allocation optimization involves efficiently utilizing limited resources such as memory, CPU, or network bandwidth in a software system. It is crucial to ensure optimal performance and minimize resource wastage. This optimization problem can be framed as a linear programming (LP) model, where the resource constraints and objectives are represented as linear equations and inequalities. LP solvers can then be used to find the optimal allocation of resources based on the defined criteria. For example, in a cloud computing environment, ...