activity
20052024
most citedOptimizing Hearthstone Agents using an Evolutionary Algorithm

31 citations · 143 across the 19 of their papers we have counts for

collaborators

19 papers

cs.NE2024★ 1 cited

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…

cs.NE2024★ 2 cited

Metaheuristics for the Template Design Problem: Encoding, Symmetry and Hybridisation

David Rodríguez 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…

cs.NE2024★ 2 cited

Memetic collaborative approaches for finding balanced incomplete block designs

David Rodríguez 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…

cs.NE2024★ 17 cited

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…

cs.NE2024★ 31 cited

Optimizing Hearthstone Agents using an Evolutionary Algorithm

Pablo García-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…

cs.NE2024★ 1 cited

New perspectives on the optimal placement of detectors for suicide bombers using metaheuristics

Carlos Cotta, José E. Gallardo

We consider an operational model of suicide bombing attacks -- an increasingly prevalent form of terrorism -- against specific targets, and the use of protective countermeasures ba…