Treffer: Evolutionary Computing on Consumer Graphics Hardware.

The article discusses evolutionary algorithms (EAs) as used in computer science. EAs are weak search-and-optimization techniques inspired by natural evolution. They are effective in searching large spaces in a wide range of applications including feature selection, electrical-circuit synthesis, and data mining. EAs include all population-based algorithms that use selection and recombination operators to generate new search points in a search space, including genetic algorithms, genetic programming, evolutionary programming, and evolution strategies. The authors propose implementing a parallel EA on consumer graphics cards used in the graphics processing unit (GPU), which handles rendering requests using a three-dimensional graphics application programming interface.