EVOLVE International Conference

EVOLVE 2014 July 1-4
Beijing, China



The following tutorials will be offered (free of charge) during the conference (see below for detailed description and biographies):

Massimiliano Vasile   Optimisation Under Uncertainty: a Natural Bridge Between Probabilities and Evolutionary Computation
Madalina Drugan   Evolutionary reinforcement learning or reinforcement evolutionary algorithms?



Massimiliano Vasile 

University of Strathclyde, UK



Massimiliano Vasile is currently Professor of Space Systems Engineering in the Department of Mechanical & Aerospace Engineering at the University of Strathclyde. Previous to this, he was a Senior Lecturer in the Department of Aerospace Engineering and Head of Research for the Space Advanced Research Team at the University of Glasgow. Before starting his academic career in 2004, he was the first member of the ESA Advanced Concepts Team and initiator of the ACT research stream on global trajectory optimisation, mission analysis and biomimicry. His research interests include Computational Optimization, Robust Design and Optimization Under Uncertainty exploring the limits of computer science at solving highly complex problems in science and engineering. He developed Direct Transcription by Finite Elements on Spectral Basis for optimal control, implemented in the ESA software DITAN for low-thrust trajectory design.

He has worked on the global optimisation of space trajectories developing innovative single and multi-objective optimisation algorithms, and on the combination of optimisation and imprecise probabilities to mitigate the effect of uncertainty in decision making and autonomous planning. More recently he has undertaken extensive research on the development of effective techniques for asteroid deflection and manipulation. His research has been funded by the European Space Agency, the EPSRC, the Planetary Society and the European Commission. Prof Vasile is currently leading Stardust, an EU-funded international research and training network on active debris removal and asteroid manipulation.

Madalina Drugan 

Vrije Universiteit Brussel, Belgium



Madalina Drugan is currently a senior researcher at the Artificial Intelligence Lab, Vrije Universiteit Brussels, Belgium. She received a PhD (2006) from the Computer Science Department, University of Utrecht, The Netherlands. Her PhD thesis "Conditional log-likelihood MDL and Evolutionary MCMC" is researching (designing, analyzing, experimenting) various Machine Learning and optimization algorithms in fields like Bayesian Network classifiers, Feature Selection, Evolutionary Computation, and Markov chain Monte Carlo. She did research in Evolutionary Computation related algorithmic design for Bioinformatics, Multi-objective optimization, Meta-heuristics, Operational Research, and Evolutionary Computation for more than 10 years.

Recently, she is involved in developing a theoretical and algorithmic framework of the new branch of Reinforcement Learning using multi-objectiverewards. She has experience with research grants, reviewing services and a strong publication record in international peer-reviewed journals and conferences, various academic prices.


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