Cours

CS-729: Evolutionary Computation: Methods and Algorithms

Résumé

This course introduces Evolutionary Computation, machine-learning methods inspired by natural evolution for solving non-differentiable and ill-defined problems. Students learn the theory, main algorithms, and applications to neural networks and robotics, and apply them to a project of their choice.

Séances de cours

Enseignant·e

Dario Floreano

Prof. Dario Floreano is director of the Laboratory of Intelligent Systems at the Swiss Federal Institute of Technology Lausanne (EPFL). Since 2010, he is the founding director of the Swiss National Center of Competence in Robotics, a research program that brings together more than 20 labs across Switzerland. Prof. Floreano holds an M.A. in Vision, an M.S. in Neural Computation, and a PhD in Robotics. He has held research positions at Sony Computer Science Laboratory, at Caltech/JPL, and at Harvard University. His main research interests are Robotics and A.I. at the convergence of biology and engineering. Prof. Floreano made pioneering contributions to the fields of evolutionary robotics, aerial robotics, and soft robotics. He served in numerous advisory boards and committees, including the Future and Emerging Technologies division of the European Commission, the World Economic Forum Agenda Council, the International Society of Artificial Life, the International Neural Network Society, and in the editorial committee of several scientific journals. In addition, he helped spinning off two drone companies (senseFly.com and Flyability.com) and a non-for-profit portal on robotics and A.I. (RoboHub.org). Books Manuale sulle Reti Neurali, il Mulino (in Italian), 1996 (first edition), 2006 (second edition)Evolutionary Robotics, MIT Press, 2000 Bio-Inspired Artificial Intelligence, MIT Press, 2008 Flying Insects and Robots, Springer Verlag, 2010

Source officielle

Page Moodle

http://go.epfl.ch/CS-729

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