Abstract
An Island GA is one of the parallel models of GAs. In an Island GA, each sub-populations are evolved and processed in parallel.GPU (Graphics Processing Unit) is a processor designed specifically for graphics processing. Recently, GPU has emerged as a powerful computational platform. Consequently, GPU is expected to be applied not only for graphics processing but also for general computation processing. In particular, the next generation GPU architecture, code-named "Fermi", is designed for more efficient general computation processing.In this paper, how to implement an Island GA with GPU computing environment for evolving the double poles balancing problem.
