The Genetic and Evolutionary Computation Conference (GECCO) is a peer-reviewed conference in the field of Evolutionary Computation that shows the latest high-quality results in genetic and evolutionary computation since 1999.
This year the conference is taking place online and broadcasted from Lille (France). The main topics discussed during the event are: genetic algorithms, genetic programming, ant colony optimization and swarm intelligence, complex systems (artificial life, robotics, evolvable hardware, generative and developmental systems, artificial immune systems), digital entertainment technologies and arts, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, evolutionary multi-objective optimization, evolutionary numerical optimization, real-world applications, search-based software engineering, theory and more.
Eugenio Lomurno, from Politecnico di Milano, presents the paper 'Pareto-Optimal Progressive Neural Architecture Search', that highlights the study conducted in the field of automatic machine learning. The work has been supported and financed by the AI-Sprint project.