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IJON
2002
154views more  IJON 2002»
14 years 9 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
ANOR
2004
208views more  ANOR 2004»
14 years 9 months ago
Airline Crew Rostering: Problem Types, Modeling, and Optimization
Airline crew rostering is an important part of airline operations and an interesting problem for the application of operations research. The objective is to assign anonymous crew p...
Niklas Kohl, Stefan E. Karisch
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
IMR
2004
Springer
15 years 3 months ago
Mechanical Criteria for the Preparation of Finite Element Models
The use of CAD in design makes it possible to represent complex components “as manufactured” with a great number of details. A transformation of such models into Finite Elemen...
Gilles Foucault, Philippe M. Marin, Jean-Claude L&...
CORR
2007
Springer
134views Education» more  CORR 2007»
14 years 9 months ago
Web data modeling for integration in data warehouses
In a data warehousing process, the data preparation phase is crucial. Mastering this phase allows substantial gains in terms of time and performance when performing a multidimensio...
Sami Miniaoui, Jérôme Darmont, Omar B...