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AUTOMATICA
2002
93views more  AUTOMATICA 2002»
13 years 7 months ago
Hybrid state estimation: a target tracking application
In this paper we present a framework in which the general hybrid filtering or state estimation problem can be formulated. The problem of joint tracking and classification can be f...
Yvo Boers, Hans Driessen
HYBRID
2004
Springer
14 years 1 months ago
Network Congestion Alleviation Using Adjoint Hybrid Control: Application to Highways
Abstract. This paper derives an optimization-based control methodology for networks of switched and hybrid systems in which each mode is governed by a partial differential equatio...
Alexandre M. Bayen, Robin L. Raffard, Claire Tomli...
GECCO
1999
Springer
133views Optimization» more  GECCO 1999»
13 years 12 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...
AISS
2010
161views more  AISS 2010»
13 years 5 months ago
Two GRASP Metaheuristic for the Capacitated Vehicle Routing Problem Considering Split Delivery and Solving the Three Dimensional
The vehicle routing problem consists in determining a group of optimal delivery routes that allow satisfaction of the demand from customers spread along a network, which can be re...
Joseph Gallart Suarez, Manuel Tupia Anticona
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 1 months ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon