Description: Goal Programming is a branch of multi-objective optimization that focuses on solving problems where multiple objectives must be satisfied simultaneously. This approach is fundamental in areas such as artificial intelligence, operations research, and decision-making, where decisions must balance different criteria that are often conflicting. For example, in a machine learning model, one might seek to maximize model accuracy while minimizing training time. Goal Programming allows researchers and developers to formulate these problems in a structured way, using mathematical techniques and algorithms to find optimal or near-optimal solutions. The main characteristics of this discipline include identifying goals, formulating constraints, and evaluating solutions based on multiple metrics. The relevance of Goal Programming lies in its ability to tackle complex problems in environments where decisions must be made considering multiple factors, which is common in business decision-making, engineering, and operations research.
