Josu Ceberio received a bachelor's degree in Computer Science from the University of the Basque Country in 2007, and two years later he took the master's degree in Computer Science from the same university. Since 2010, he is a member of the Intelligent Systems Group where he obtained, in 2014, a Ph.D. in Computer Science with the thesis entitled Solving Permutation-based Combinatorial Optimization Problems with Estimation of Distribution Algorithms and Extensions Thereof.

Since 2017, he is a professor assistant in the Department of Computer Science and Artificial Intelligence at the University of the Basque Country in Donostia-San Sebastian.

Research Activity

His research interest focuses on combinatorial optimization, with special emphasis on permutation-based problems. In that sense, research on metaheuristics and, particularly on Estimation of Distribution Algorithms, have coped with most investigations. Not limited to that, some works have focused on using structural information of fitness landscapes for the optimization of the problems. Currently, he is involved in some research works on the reinforcement learning approach for solving combinatorial optimization problems.

As a result of the research activity, he has published more than 50 papers in journals and international conferences and has acted as a reviewer for more than 20 international journals and conferences in the area of evolutionary computation, optimization, and machine learning. He has participated as proceedings chair in the organization of IEEE CEC 2017 and ACM GECCO 2020, and has organized the international workshop on permutation optimization problems in six consecutive years.

Since 2022, he is Associate Editor of the IEEE Transactions on Evolutionary Computation.

Latest relevant papers 🌟

  • A.I. Garmendia, J. Ceberio, A. Mendiburu. Neural Combinatorial Optimization: a New Player in the Field. 2022.
  • A.I. Garmendia, J. Ceberio, A. Mendiburu. Neural Improvement Heuristics for Preference Ranking. 2022.

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