Dissertation explores enhancing algorithm effectiveness and interpretability, suggesting advances in optimization practices.
This dissertation explores how optimization algorithms can become both more effective and more interpretable. It focuses on two long-standing limitations of metaheuristics: first, their frequent lack of awareness of the specific structure of the problem they are solving; and second, their opacity, which makes it difficult to understand why they behave well in some cases and poorly in others.
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Camilo Chacón Sartori (2026) studied this question.
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