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Tutorials

Title Organizers
Advanced Use of Automatic Algorithm Configuration: Single- and Multi-Objective Approaches Jeroen Rook, Paderborn University, Germany
Manuel López-Ibáñez, University of Manchester, UK
Advances in Multi-Objective Optimization and Decision-Making Kalyanmoy Deb, Michigan State University, USA
Deepanshu Yadav, Michigan State University, USA
Bayesian Optimization Jürgen Branke, University of Warwick, UK
Ivo Couckuyt, University of Ghent, Belgium
Sebastian Rojas Gonzalez, University of Ghent, Belgium
Elena Raponi, Leiden University, Netherlands
Cartesian Genetic Programming - From foundations to recent developments and applications Roman Kalkreuth, RWTH Aachen University, Germany
Sylvain Cussat-Blanc, Université Toulouse Capitole, IRIT - CNRS UMR5505, Institut Universitaire de France, France
Dennis G. Wilson, ISAE-SUPAERO, University of Toulouse, France
Combinatorial Optimisation Can be Different from Continuous Optimisation for MOEAs Li Miqing, School of Computer Science, University of Birmingham
Constraint-Handling Techniques used with Evolutionary Algorithms Carlos Coello Coello, CINVESTAV, Mexico
Demystifying CMA-ES Anne Auger, Inria, France
Efficient deterministic crossover, and the periodicity of local optima under recombination Darrell Whitley, Colorado State University, USA
Evolution of Neural Networks Risto Miikkulainen, The University of Texas at Austin and Cognizant Technology Solutions, USA
Evolutionary Computation and Evolutionary Deep Learning for Image Analysis, Signal Processing and Pattern Recognition Stefano Cagnoni, University of Parma, Italy
Ying Bi, Zhengzhou University, China
Yanan Sun, Sichuan University, China
Evolutionary Computation meets Machine Learning for Combinatorial Optimisation Yi Mei, School of Engineering and Computer Science, Victoria University of Wellington, New Zealand
Günther Raidl, TU Wien, Austria
Evolutionary Generative AI: Synthesis, Optimization, and Creativity Penousal Machado, University of Coimbra, CISUC, DEI, Portugal
João Correia, University of Coimbra, Portugal
Fair Performance Comparison of Evolutionary Multi-Objective Algorithms Lie Meng Pang, Southern University of Science and Technology, China
Hisao Ishibuchi, Southern University of Science and Technology, China
Genetic Improvement: Improving real-world software using computational search Alexander Brownlee, University of Stirling, UK
Markus Wagner, Monash University, Australia
John R. Woodward, Heriot Watt University, Dubai, UAE
GPU Genetic Programming and the Beagle System Nathan Haut, Michigan State University, USA
Wolfgang Banzhaf, Michigan State University, USA
Ilya Basin, Noblis, USA
Introduction to Automated Machine Learning for Data Science, Modeling, and Benchmarking Ryan Urbanowicz, Cedars Sinai Medical Center, Los Angeles, California, USA
Introduction to Quantum Optimization Alberto Moraglio, University of Exeter, UK
Francisco Chicano, University of Malaga, Spain
Landscape Analysis of Optimization Problems and Algorithms Gabriela Ochoa, University of Stirling, UK
Katherine Malan, University of South Africa, South Africa
Large Language Models for Metaheuristic Design: Exploring Challenges, Limitations, Tools, Benchmarking and Future Opportunities. Roman Senkerik, Tomas Bata University in Zlin, A.I.Lab, Faculty of Applied Informatics, Czech Republic
Niki van Stein, Leiden University, Netherlands
Adam Viktorin, Tomas Bata University in Zlin, Czech Republic
Michal Pluhacek, Center of Excellence in Artificial Intelligence, AGH University of Krakow, Poland
Thomas Bäck, Leiden Institute of Advanced Computer Science (LIACS), Leiden University, Netherlands
Model-Based Evolutionary Algorithms Dirk Thierens, Utrecht University, Netherlands
Peter A. N. Bosman, Centre for Mathematics and Computer Science, Netherlands
More than Tables: Visualizing Anytime Performance in Single- and Multiobjective Optimization Dimo Brockhoff, Inria and Ecole Polytechnique, France
Olaf Mersmann, Federal University of Applied Administrative Sciences, Germany
Tea Tušar, Jožef Stefan Institute, Slovenia
Recent Advances in Meta-features Used for Representing Black-box Single-objective Continuous Optimization Gjorgjina Cenikj, Jožef Stefan Institute, Ljubljana, Slovenia
Ana Nikolikj, Jozef Stefan Institute, Ljubljana, Slovenija
Tome Eftimov, Jožef Stefan Institute, Slovenia
The Co-Evolution of AI and Cybersecurity: Attacks, Defenses, and Future Directions Stjepan Picek, University of Zagreb, Croatia & Radboud University, Netherlands
Domagoj Jakobovic, University of Zagreb, Faculty of electrical engineering and computing, Croatia
The Evolution of Things: Beyond Evolutionary Robotics Gusz Eiben, Vrije Universiteit Amsterdam, Netherlands
Theory and Practice of Population Diversity in Evolutionary Computation Dirk Sudholt, University of Passau, Germany
Giovanni Squillero, Politecnico di Torino, Italy
Theory of Competitive Co-evolutionary Algorithms Per Kristian Lehre, University of Birmingham, UK
Alistair Benford, University of Birmingham, UK
Transfer Learning in Evolutionary Spaces Nelishia Pillay, University of Pretoria, South Africa