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» Evolutionary Computation for Modeling and Optimization
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GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
16 years 11 days ago
Evolving recurrent models using linear GP
Turing complete Genetic Programming (GP) models introduce the concept of internal state, and therefore have the capacity for identifying interesting temporal properties. Surprisin...
Xiao Luo, Malcolm I. Heywood, A. Nur Zincir-Heywoo...
ISIPTA
2003
IEEE
140views Mathematics» more  ISIPTA 2003»
16 years 3 days ago
A Second-Order Uncertainty Model of Independent Random Variables: An Example of the Stress-Strength Reliability
A second-order hierarchical uncertainty model of a system of independent random variables is studied in the paper. It is shown that the complex nonlinear optimization problem for ...
Lev V. Utkin
GECCO
2005
Springer
16 years 11 days ago
Interactive estimation of agent-based financial markets models: modularity and learning
Building upon the interactive inversion method introduced by Ashburn and Bonabeau (2004), we show how to dramatically improve the results by exploiting modularity and by letting t...
M. Ihsan Ecemis, Eric Bonabeau, Trent Ashburn
JMLR
2006
107views more  JMLR 2006»
15 years 6 months ago
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
In many pattern recognition/classification problem the true class conditional model and class probabilities are approximated for reasons of reducing complexity and/or of statistic...
Magnus Ekdahl, Timo Koski
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
16 years 1 months ago
Randomized model predictive control for robot navigation
— We suggest a new navigation approach to mobile robots, within a nonlinear model predictive control framework where a navigation function is used as a control Lyapunov function....
Jorge L. Piovesan, Herbert G. Tanner