5 papers
Epoch-based Application of Problem-Aware Operators in a Multiobjective Memetic Algorithm for Portfolio Optimization
Feijoo Colomine Durán, Carlos Cotta, Antonio J. Fernández-Leiva
We consider the issue of intensification/diversification balance in the context of a memetic algorithm for the multiobjective optimization of investment portfolios with cardinality…
Metaheuristics for the Template Design Problem: Encoding, Symmetry and Hybridisation
David RodrÃguez Rueda, Carlos Cotta, Antonio J. Fernández-Leiva
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 propose…
Memetic collaborative approaches for finding balanced incomplete block designs
David RodrÃguez Rueda, Carlos Cotta, Antonio J. Fernández-Leiva
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, w…
Deep memetic models for combinatorial optimization problems: application to the tool switching problem
Jhon Edgar Amaya, Carlos Cotta, Antonio J. Fernández-Leiva +1
Memetic algorithms are techniques that orchestrate the interplay between population-based and trajectory-based algorithmic components. In particular, some memetic models can be reg…
Optimizing Hearthstone Agents using an Evolutionary Algorithm
Pablo GarcÃa-Sánchez, Alberto Tonda, Antonio J. Fernández-Leiva +1
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…