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» Function Optimization with Coevolutionary Algorithms
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NCA
2007
IEEE
13 years 9 months ago
A computational strategy exploiting genetic algorithms to recover color surface reflectance functions
—Information about the spectral reflectance of a color surface is useful in many applications. Assuming that reflectance functions can be adequately approximated by a linear comb...
Raimondo Schettini, Silvia Zuffi
AUTOMATICA
2008
98views more  AUTOMATICA 2008»
13 years 10 months ago
An algorithm for bounded-error identification of nonlinear systems based on DC functions
This paper presents a guaranteed method for the parameter estimation of nonlinear models in a bounded-error context. This method is based on functions which consists of the differ...
J. M. Bravo, T. Alamo, M. J. Redondo, Eduardo F. C...
FPL
2004
Springer
103views Hardware» more  FPL 2004»
14 years 3 months ago
Automating Optimized Table-with-Polynomial Function Evaluation for FPGAs
Abstract. Function evaluation is at the core of many compute-intensive applications which perform well on reconfigurable platforms. Yet, in order to implement function evaluation ...
Dong-U Lee, Oskar Mencer, David J. Pearce, Wayne L...
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
14 years 3 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta
ISCIS
2003
Springer
14 years 3 months ago
A New Continuous Action-Set Learning Automaton for Function Optimization
In this paper, we study an adaptive random search method based on continuous action-set learning automaton for solving stochastic optimization problems in which only the noisecorr...
Hamid Beigy, Mohammad Reza Meybodi