Comparison of Genetic Algorithm and Particle Swarm Optimizer When Evolving a Recurrent Neural Network
This paper compares the performance of GAs and PSOs in evolving weights of a recurrent neural network. The algorithms are tested on multiple network topologies. Both algorithms produce successful networks. The GA is more successful evolving larger networks and the PSO is more successful on smaller networks.