Moshe Sipper - A Melting Pot of Evolution and Learning

In Evolutionary Computation (EC) core concepts from evolutionary biology—inheritance, random variation, and selection—are harnessed in algorithms that are applied to complex computational problems. Importantly, EC strengths often dovetail with weak points of machine  learning (ML) algorithms, which has resulted in an increasing number of works that fruitfully combine the fields of EC with ML  and deep learning (DL). This talk surveys a number of works by my group, which are at the intersection of EC, ML, and DL.