3 papers
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…
cs.NE2024
Asynchronous Distributed Genetic Algorithms with Javascript and JSON
Juan Julián Merelo, Pedro A. Castillo, Juan Luis Jiménez Laredo +2
In a connected world, spare CPU cycles are up for grabs, if you only make its obtention easy enough. In this paper we present a distributed evolutionary computation system that use…
cs.NE2024
Evolvable Agents, a Fine Grained Approach for Distributed Evolutionary Computing: Walking towards the Peer-to-Peer Computing Frontiers
Juan Luis Jiménez Laredo, Pedro A. Castillo, Antonio M. Mora +1
In this work we propose a fine grained approach with self-adaptive migration rate for distributed evolutionary computation. Our target is to gain some insights on the effects cause…