Asynchronous Distributed Genetic Algorithms with Javascript and JSON

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.

Evolvable Agents, a Fine Grained Approach for Distributed Evolutionary Computing: Walking towards the Peer-to-Peer Computing Frontiers

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.

Improving genetic algorithms performance via deterministic population shrinkage

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.