no code implementations • 8 Feb 2024 • Pedro A. Castillo, Maribel García Arenas, Nuria Rico, Antonio Miguel Mora, Pablo García-Sánchez, Juan Luis Jiménez Laredo, Juan Julián Merelo Guervós
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.
no code implementations • 30 Jan 2024 • Juan Julián Merelo, Pedro A. Castillo, Juan Luis Jiménez Laredo, Antonio M. Mora, Alberto Prieto
In a connected world, spare CPU cycles are up for grabs, if you only make its obtention easy enough.
no code implementations • 30 Jan 2024 • Juan Luis Jiménez Laredo, Pedro A. Castillo, Antonio M. Mora, Juan Julián Merelo
In order to check scalability, we perform a threefold experimental evaluation of this model: First, we concentrate on the algorithmic results when the problem scales up to eight nodes in comparison with how it does following the Island model.
no code implementations • 22 Jan 2024 • Juan Luis Jiménez Laredo, Carlos Fernandes, Juan Julián Merelo, Christian Gagné
Despite the intuition that the same population size is not needed throughout the run of an Evolutionary Algorithm (EA), most EAs use a fixed population size.