Optimization and Design of ExperimentS (ODES)

 
PURPOSE
The purpose of the workshop is:
• to discuss Designs and Models of combinatorially complex experiments.  
• to discuss optimization criteria for experimentation.
• to develop future collaborations between different groups of theoreticians as well as with
some experimental groups.  
• to outline an agenda of key topics to be addressed in future experimental design activities
 
PROGRAM
 
Friday 15th June

09:00 – 09:45 Reception
09:45 – 10:00 Opening Session- Welcome
    Norman Packard ,  CoDirector, ECLT
10:00 – 10:45 Modeling Evolutionary Designs of Experiments  
    Irene Poli, University Ca’ Foscari, Venice, Italy
10:45 Coffee break
11:15 – 12:00 Genetic Algorithms as Screening Designs
    James Cawse, ProtoLife, Venice, Italy
12:00 – 12:45 Model-based Genetic Algorithms for Designing
     Mixture Experiments
    Michele Forlin,  University Ca’ Foscari, Venice, Italy
 
               13:00 Lunch  (Palazzo Franchetti Cafeteria)

14:30 – 15:15 Practical experience of integrating Genetic
Programming and statistical modeling
     Flor Castillo, The Dow Chemical Company, Freeport, TX, USA
15:15 – 16:00 Evolutionary Algorithms for Self-Assembling
Systems: Simulations as a Tool for the Development of Novel Optimization Strategies
    Rudolf Füchslin, Ruhr University Bochum, Germany

16:00 Coffee break

16:30 – 17:15 Nonlinearity Reduction and Ordinal Optimization
for modeling hard problems in industrial data analysis (New flavours in Genetic Programming)
    Katya Vladislavleva, Department of Operations Research, Tilburg  
    University, The Netherlands
17:15 – 18:00 Evolutionary computing: what are the differences?
    Richard Walker, Xiwrite S.a.s., Rome, Italy
 
 
Saturday, June 16

09:15 – 10:00 A Gestalt Genetic Algorithm: Less details for better
search  
    Hugues Bersini, IRIDIA, Université Libre de Bruxelles, Brussels,
    Belgium
10:00 – 10:45
 Microfluidics in an integrated system: pros and
cons of the pico-liter chemistry
    Uwe Tangen, Ruhr University Bochum, Germany
 
10:45 Coffee break
 
11:15 – 12:00 Variable Selection in industrial datasets using
Pareto Symbolic regression via Genetic
Programming
     Guido Smits, Department of Engineering Sciences, Dow Chemical
    Company, Belgium
12:00 – 12:45 D-optimal designs for estimating of extremum
point of multivariate quadratic regression model
    Andrey Pepelyshev, Department of Mathematics, Saint-Petersburg State University, Russia

13:00 Lunch  (Palazzo Franchetti Cafeteria)