ListarITIS - Artículos por tema "Algoritmos evolutivos"
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Deep Memetic Models for Combinatorial Optimization Problems: Application to the Tool Switching Problem
Amaya, Jhon Edgar; Cotta-Porras, Carlos
; Fernández-Leiva, Antonio José; García Sánchez, Pablo (Springer, 2020)
Memetic algorithms are techniques that orchestrate the interplay between population-based and trajectory-based algorithmic components. In particular, some memetic models can be regarded under this broad interpretation as ... -
Memetic collaborative approaches for finding balanced incomplete block designs
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Elsevier, 2020)
The balanced incomplete block design (BIBD) problem is a difficult combinatorial problem with a large number of symmetries, which add complexity to its resolution. In this paper, we propose a dual (integer) problem ... -
Metaheuristics for the Template Design Problem: Encoding, Symmetry and Hybridisation
Rodríguez Rueda, David; Cotta-Porras, Carlos; Fernández-Leiva, Antonio José (Springer, 2021)
The template design problem (TDP) is a hard combinatorial problem with a high number of symmetries which makes solving it more complicated. A number of techniques have been proposed in the literature to optimise its ... -
Optimizing Hearthstone Agents using an Evolutionary Algorithm.
García Sánchez, Pablo; Tonda, Alberto; Fernández-Leiva, Antonio José; Cotta-Porras, Carlos (Elsevier, 2020)
Digital collectible card games are not only a growing part of the video game industry, but also an interesting research area for the field of computational intelligence. This game genre allows researchers to deal with ...