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GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
14 years 1 months ago
Forecasting the MagnetoEncephaloGram (MEG) of Epileptic Patients Using Genetically Optimized Neural Networks
In this work MagnetoEncephaloGram (MEG) recordings of epileptic patients were analyzed using a hybrid neural networks training algorithm. This algorithm combines genetic algorithm...
Adam V. Adamopoulos, Efstratios F. Georgopoulos, S...
GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 27 days ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens
ICTAI
1997
IEEE
14 years 24 days ago
Exploiting Symbolic Techniques within Genetic Algorithms for Power Optimization
This paper proposes an optimization algorithm for reducing the power dissipation in a sequential circuit. The encoding of the different states in a Finite State Machine is modifie...
S. Chuisano, Fulvio Corno, Paolo Prinetto, Maurizi...
ICSOC
2009
Springer
13 years 7 months ago
A Genetic Algorithms-Based Approach for Optimized Self-protection in a Pervasive Service Middleware
With increasingly complex and heterogeneous systems in pervasive service computing, it becomes more and more important to provide self-protected services to end users. In order to ...
Weishan Zhang, Julian Schütte, Mads Ingstrup,...
GECCO
2005
Springer
133views Optimization» more  GECCO 2005»
14 years 2 months ago
Heuristic rules embedded genetic algorithm to solve in-core fuel management optimization problem
Because of the large number of possible combinations for the fuel assembly loading in the core, the design of the loading pattern (LP) is a complex optimization problem. It requir...
Fatih Alim, Kostadin Ivanov