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MASINGER group
Dr. Ferrante NeriDepartment of Mathematical Information Technology,
University of Jyväskylä, Finland
10th May 2010
MASINGER group
Memetic Algorithms, Swarm Intelligence, Networks, Genetic and Evolutionary Robotics
02/17/10
Group Members 1/2
Dr. Ferrante Neri
Dr. Ernesto Mininno
Dr. Ville Tirronen
02/17/10
Group Members 2/2
Ph. Lic Matthieu Weber
Mr. Giovanni Iacca
02/17/10
Structure of the Group
• Horizontal and Non-hierarchical• Everybody is fundamental within its role
JUST LIKE A FOOTBALL TEAM !!
02/17/10
Research Topics at the first glance
Computational Intelligence Optimization
When the problem cannot be solved by means of an exact method due to the lack of differentiability or even analytic expression an alternative way must be found
Research Topics in details 1/2
Methodologies:– Memetic Computing
Encoding of culture into optimization algorithms, e.g. hybrid approaches, integration of knowledge– Differential Evolution
Specific Oprimization Algorithm for continuous problems
02/17/10
Research Topics in details 2/2
Applications:– Evolutionary Optimization in the Presence
of Uncertainties
– Large Scale and Computationally Expensive Optimization Problems
Current Research Lines
Distributed Memetic/Evolutionary Algorithms
Compact Memetic/Evolutionary Algorithms
Distributed Algorithms• If a population is properly structured,
with no additional overhead, the performance might be significantly improved and thus highly dimensional problems (1000 D) can be handled.
Compact Algorithms
– belong to the class of Estimation Distribution Algorithms
– do not use a population of individuals– make use of a statistic representation of the
populationThis approach is necessary to solve complex optimization problems despite the absence of a full performance computer
Graphical Convergence Representation
Compact Algorithms in Real-World
AutomotiveAerospaceMedical engineeringRoboticsManufacturing
Performances depend on the control system tuning.
Application Example
•A cartesian robot controller for pick&place
•Compact algorithm to optimize the nonlinear controller (NN)
•The system has been optimized in orderto reject the unpredictable payload variation
•No external computer has been used
•Details on IEEE Computational IntelligenceMagazine, May 2010
Questions?