Message from the Tutorials Chair  

The diverse and creative city of Amsterdam is the ideal scenario for the attractive selection of themes offered by this year’s GECCO tutorials.  A record of over 50 high quality tutorial submissions was received from international, high-profile domain experts, making it hard for the GECCO 2013 organizers to select a subset to be presented. While traditionally around 30 tutorials are presented at GECCO, this year the limit was extended to 36 in an effort to accommodate the widest possible choice. The benefits is however huge for our participants, who can select among 4 different tutorials at each time slot during the two first days of GECCO.

Following GECCO’s tradition, the program features introductory, advanced, and specialized techniques and applications tutorials.  The introductory tutorials include the main solidly established branches and themes in evolutionary computation. The advanced tutorials offer a more in depth view of techniques and theoretical analysis. New advanced tutorials this year involve many-objectives and dynamic optimization, both extremely relevant when considering real-world problems.

Genetic Programming and Machine Learning are very well represented this year with several tutorials and a couple of new additions on supervised learning and open issues in GP.

New tutorials on Particle Swarm Optimization and Differential Evolution, themes gaining increasing attention, will be presented this year. Other additions include bi-level optimization, automatic configuration of algorithms, and how to create meaningful generalizable results.
Finally, exciting application domains are covered such as Art, Design and Music; Games; Robotics and Industrial applications.

Find below the complete list of tutorials:

Introductory

1. Genetic Algorithms, Erik Goodman
2. Genetic Programming, Una-May O’Reilly
3. Evolution Strategies: Basic Introduction, Thomas Bäck
4. Evolutionary Computation: A unified view, Kenneth De Jong
5. Evolutionary Multiobjective Optimization, Dimo Brockhoff
6. Representations for evolutionary algorithms,         Franz Rothlauf
7. Evolutionary Neural Networks, Risto Miikkulainen
8. Model-Based Evolutionary Algorithms, Dirk Thierens and Peter A.N. Bosman
9. Statistical Analysis for Evolutionary Computation: Introduction,  Mark Wineberg
10. Learning Classifier Systems: Introducing the user-friendly Textbook, Will N. Browne, Ryan Urbanowicz
11. Runtime Analysis of Evolutionary Algorithms: Basic Introduciton, Pietro S. Oliveto and  Per Kristian Lehre

Advanced

12. Evolution Strategies and CMA-ES (Covariance Matrix Adaptation), Anne Auger and Nikolaus Hansen
13. Constraint-Handling Techniques used with Evolutionary Algorithms, Carlos Coello-Coello
14. Elementary Landscapes: Theory and Applications, Darrell Whitley and Andrew M. Sutton
15. Bioinspired Computation in Combinatorial Optimization - Algorithms and Their Computational Complexity, Frank Neumann and Carsten Witt
16. Fitness Landscapes and Graphs: Multimodularity Ruggedness and Neutrality, Sébastien Verel
17. Black-Box Complexity: From Complexity Theory to Playing Mastermind, Benjamin Doerr and Carola Doerr
18. Advances on Evolutionary Many-objective Optimization,  Hernan Aguirre
19. Evolutionary Computation for Dynamic Optimization Problems (ECDOP), Shengxiang Yang

Specialized Techniques and Applications

20. Expressive Genetic Programming, Lee Spector
21. Cartesian Genetic Programming, Julian Miller and Simon Harding
22. Large Scale Data Mining using Genetics-Based Machine Learning, Jaume Bacardit
23. Evolutionary Game Theory, Marco Tomassini
24. Artificial Immune Systems for Optimization, Thomas Jansen and Christina Zarges
25. Generative and Developmental Systems, Kenneth Stanley
26. Evolutionary Computation for Supervised Learning , Christian Gagné
27. Differential Evolution: Recent Advances and Relative Performance, P N Suganthan
28. Evolutionary Bilevel Optimization (EBO), Kalyanmoy Deb and Ankur Sinha
29. Particle Swarm Optimization, Andries Engelbrecht
30. Automatic (Offline) Configuration of Algorithms, Manuel López-Ibáñez and Thomas Stützle
31. Designing and Building Powerful Inexpesinve Robots for Evolutionary Research,Terence Soule
32. Industrial Applications of Evolutionary Algorithms, Giovanni Squillero
33. Computational Intelligence and Games, Pier Luca Lanzi
34. How to create meaningful and generalizable results, Thomas Bartz-Beielstein, B. Naujoks, M. Zaefferer
35. Computational Aesthetic Evaluation: Automated Fitness Functions for Evolutionary Art, Design, and Music, Philip Galanter
36. Open Issues in Genetic Programming, M. Oneill, L. Vanneschi, S. Gustafson, W. Banzhaf

      For detailed information on each tutorial, please visit the Tutorials Page     

We would like to warmly thank the tutorial presenters for their valuable contributions, and we hope the wide choice of themes available this year continues to inspire and encourage researchers and practitioners in evolutionary computation and related areas.

We look forward to seeing you in Amsterdam this July.
Kind Regards,