This article discusses the challenges of processing and analyzing large amounts of data in practical applications, particularly in data fusion and feature selection. It introduces the concept of evolutionary machine learning (EML) as a potential solution to these challenges, combining the strengths of both machine learning and evolutionary computation. EML has the potential to improve efficiency and reduce the need for human expert knowledge in handling big data.
