3 papers
cs.NE2024
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
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…
cs.NE2024
Determining the significance and relative importance of parameters of a simulated quenching algorithm using statistical tools
Pedro A. Castillo, Maribel GarcÃa Arenas, Nuria Rico +4
When search methods are being designed it is very important to know which parameters have the greatest influence on the behaviour and performance of the algorithm. To this end, alg…