About the use of evolutionary algorithms in Big Data analysis

This article is a survey: several examples demonstrate the expediency of using evolutionary algorithms in Big Data analysis. Evolutionary algorithms have evident advantages: their high scalability and flexibility, ability to solve global optimization problems and optimize several criteria simultaneously are essential for feature selection, instance selection and missing-data imputation problems. Moreover, weillustrate the use of evolutionary algorithms in combination with such machine learning tools as neural networks and fuzzy systems. Our examples show that Evolutionary Machine Learning is getting more and more applicable in data processing and we anticipate seeing the further development of this area especially in the sense of Big Data.