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Diversity Optimization Models
The challenge of maximizing the diversity of a collection of points arises in a variety of social studies, which translates into the …
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Graph Layout Problems
The term layout problem was introduced in the context of Very Large-Scale Integration (VLSI) circuit design. Their main objective is to …
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Search-Based Software Engineering Problems
The development of high-quality software systems is a complex process involving various phases and activities. As software systems grow …
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Variable Neighborhood Descent
Variable neighborhood descent (VND) is a local search-based heuristic which performs a deterministic exploration of a fixed set of …
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Greedy Randomized Adaptive Search Procedure
Greedy randomized adaptive search procedure (GRASP) is a metaheuristic framework which has been extensively used for solving a wide …
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Multi-objective Optimization
Diversity problems are usually studied from a single-objective point of view. However, two or more diversity functions could present …
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Obtaining Difference Equations for~Glucose Prediction by~Structured Grammatical Evolution and~Sparse Identification
Diabetes is one of the most common and difficult non-communicable diseases to deal with in our days. People with diabetes need to keep …
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WebGE: An Open-Source Tool for Symbolic Regression Using Grammatical Evolution
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Identification of models for glucose blood values in diabetics by grammatical evolution
One the most relevant application areas of artificial intelligence and machine learning in general is medical research. We here focus …
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Repositorios públicos de GitHub en docencia de programación
En esta comunicación se muestra la utilidad de GitHub para el apoyo en la docencia de asignaturas de programación GitHub es una …
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