NEW ADVANCES IN ALGORITHMIC TECHNIQUES FOR THE COMPUTATION OF OPTIMAL DESIGNS

R. Negrete Gallego, S. Pozuelo Campos, I. Garcia-Camacha Gutiérrez, E. Vázquez Fernández-Pacheco

One of the biggest challenges in calculating optimal experimental designs is to cope with the computational cost. Algorithmic techniques remain key in this field: while analytical solutions are often impractical, numerical techniques have become the most effective option. This research provides an innovative algorithm that combines the algorithms traditionally used in Optimal experimental design with metaheuristic techniques. For this purpose we have suitably adapted the foundations of Wynn-Federov, multiplicative and the Particle Swarm Optimization algorithms. This combination not only enhances computational efficiency but also is more robust facing complex optimization problems.

Palabras clave: D-optimum design, Multiplicative algorithm, Wynn–Fedorov algorithm, Particle Swarm Optimization, Combined algorithm

Diseño de Experimentos IV
12 de junio de 2025  19:00
Sala 3. Maria Rúbies Garrofé

V. M. Casero Alonso, S. Pozuelo Campos, M. Amo Salas

A. Muñoz del Río, V. M. Casero Alonso, M. Amo Salas

G. González Farías, J. López Fidalgo, J. U. Márquez Urbina*