2021 The Genetic and Evolutionary Computation Conference, 10-14 July 2021, Lille, France

Organizing Committee

Valentino Santucci received the PhD degree in Mathematics and Computer Science from University of Perugia in 2012. From 2012 to 2018, he has been post-doc with the Department of Mathematics and Computer Science, University of Perugia. Since 2018, he is Assistant Professor at University for Foreigners of Perugia. He has been a Visiting Researcher with Hong Kong Baptist University, Hong Kong. He has authored more than 30 scientific publications and his research interests include evolutionary computation, machine learning, and computational intelligence.

Josu Ceberio received the bachelor degree in Computer Sciece from the University of the Basque Country in 2007, and two years later he took his masters degree in Computer Science from the same university. Since 2010, he has been member of the Intelligent Systems Group where he obtained, in 2014, the PhD in Computer Science. Since 2014, he is lecturer at the University of the Basque Country, and currently, he is affiliated to the department of Computer Science and Artificial Intelligence at the Faculty of Computer Science. He has co-authored more than 40 scientific publications in different journals and international conferences covering topics such as permutation-based combinatorial optimization problems, estimation of distribution algorithms, elementary landscape decomposition and, recently, neural combinatorial optimization. In recent years, he has actively participated in the organization of scientific events such as 2017 IEEE Congress on Evolutionary Computation or 2020 ACM Genetic and Evolutionary Computation (GECCO).

Marco Baioletti received a PhD in Statistics and Mathematics for the Economical and Social Research from the University of Perugia in 1993. He is currently Assistant Professor at Department of Mathematics and Computer Science, University of Perugia. His research interests include evolutionary computation, automated planning, scheduling, probabilistic logic, possibility theory, neuroevolution. He is the author of more than 50 scientific publications on international journals and conferences.

John McCall is a Professor of Computing Science at Robert Gordon University. He works in the Computational Intelligence research group, which he founded in 2003. He has over twenty years research experience in naturally-inspired computing. His research focuses on the study and analysis of a range of naturally-inspired optimization algorithms (genetic algorithms, particle swarm optimisation, ant colony optimisation, estimation of distribution algorithms etc.) and their application to difficult learning and optimisation problems, particularly real-world problems arising in complex engineering and medical / biological systems. Application areas of this research include medical decision support, data modeling of drilling operations, analysis of biological sequences, staff rostering and scheduling, industrial process optimization and bio-control. He has over 90 publications in books, journals and conferences. He has successfully supervised 13 PhD students and has examined over 15 PhD theses.

Alfredo Milani received the Doctor degree in computer science from University of Pisa, Pisa, Italy, in 1987. He is an Associate Professor with the Department of Computer Science, University of Perugia, Perugia, Italy, where he is the Head of the Knowledge and IT Laboratory. He has been a Visiting Associate Professor with Hong Kong Baptist University, Hong Kong, and a Visiting Scientist with Jet Propulsion Laboratory, Pasadena, CA, USA. His current research interests include artificial intelligence (AI), planning and agent systems, evolutionary meta-heuristics, data mining, and semantic proximity measures. Prof. Milani was the Chair or the Co-Chair of several international conferences in the AI area.