Description: The ‘Optimal Solution’ refers to the best possible solution to an optimization problem, where the goal is to maximize or minimize an objective function under certain constraints. In the context of optimization, this solution is identified through mathematical techniques and algorithms that evaluate different alternatives and select the one that offers the best outcome. The main characteristics of an optimal solution include its efficiency, effectiveness, and feasibility, meaning it must not only meet the established criteria but also be achievable within the limits imposed by the problem. The relevance of the optimal solution extends to various disciplines, from engineering and economics to computer science and operations research, where improving the performance of models and systems is sought. In the realm of AutoML (automated machine learning), identifying optimal solutions is crucial for model selection, hyperparameter optimization, and continuous algorithm improvement, allowing systems to learn more efficiently and effectively. In summary, the optimal solution is a fundamental concept in optimization that seeks to achieve the best possible outcome in a given context, using appropriate tools and techniques for its identification and evaluation.
