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» Parameterised system design based on genetic algorithms
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EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 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
ISLPED
2010
ACM
181views Hardware» more  ISLPED 2010»
15 years 5 months ago
Exploiting power budgeting in thermal-aware dynamic placement for reconfigurable systems
 In this paper, a novel thermal-aware dynamic placement planner for reconfigurable systems is presented, which targets transient temperature reduction. Rather than solving time-...
Shahin Golshan, Eli Bozorgzadeh, Benjamin Carri&oa...
DAC
2005
ACM
16 years 7 months ago
A non-parametric approach for dynamic range estimation of nonlinear systems
It has been widely recognized that the dynamic range information of an application can be exploited to reduce the datapath bitwidth of either processors or ASICs, and therefore th...
Bin Wu, Jianwen Zhu, Farid N. Najm
SIMULATION
1998
177views more  SIMULATION 1998»
15 years 6 months ago
Simulation and Planning of an Intermodal Container Terminal
A decision support system for the management of an intermodal container terminal is presented. Among the problems to be solved, there are the spatial allocation of containers on t...
Luca Maria Gambardella, Andrea Emilio Rizzoli, Mar...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
16 years 3 days ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer