Cloud-based evolutionary algorithms: An algorithmic study

This is a new paper of the Cloud Storare Services series. It has been accepted for publication in Natural Computing with DOI 10.1007/s11047-012-9358-1. Inside you can find a study of how an evolutionary algorithm implemented using two different and free cloud storage services as Dropbox and SugarSync evolves a population of individuals for solving traditional problems like MMDP and P-PEAKS. The selected resources for this case have been homogeneous and heterogeneous computers for the same problems and the same experiments. Results underline SugarSync as the best option for these problems in a local network with homogeneous computers because the quality of the solutions is better using SugarSync than Dropbox although the differences are not significatives.

You can find the work with all the information on Springer .