KEYNOTE: Evolutionary Machine Learning: 50 Years of Progress

Mengjie Zhang, Victoria University of Wellington, NEW ZEALAND. ABSTRACT: Evolutionary machine learning have been very popular over the recent years. In this talk, I will firstly provide a brief overview of the history of evolutionary machine learning with the major developments over the past 50 years, then focus on the main paradigms of evolutionary machine learning and their successes in classification, feature selection, regression, clustering, computer vision and image analysis, scheduling and combinatorial optimisation, deep learning, transfer learning and explainable/interpretable machine learning. The main applications, challenges and lessons as well as potential opportunities will be also discussed.