Jesús Molina López - Academia.edu (original) (raw)
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Papers by Jesús Molina López
IEEE Transactions on Evolutionary Computation, 2009
This paper addresses a real-world engineering design requiring the application of effective and g... more This paper addresses a real-world engineering design requiring the application of effective and global optimization techniques. The problem it deals with is the design of nonlinear tracking filters under up to several hundreds of performance specifications. The suitability of different evolutionary computation techniques for solving multiobjective problems is explored, contrasting the performance achieved with recent multiobjective evolutionary algorithm (MOEAs) proposals and different aggregation schemes. In particular, a new scheme is proposed to build a fitness function based on an operator that selects worst cases of multiple specifications in different situations. They have been evaluated in the design of an air traffic control (ATC) tracking filter that should accomplish a specific normative with 264 specifications. Results show their performance in terms of effectiveness and computational load, comparing their capability to scale the problem with respect to problem size.
Eurasip Journal on Advances in Signal Processing, 2003
This paper describes the application of evolution strategies to the design of interacting multipl... more This paper describes the application of evolution strategies to the design of interacting multiple model (IMM) tracking filters in order to fulfill a large table of performance specifications. These specifications define the desired filter performance in a thorough set of selected test scenarios, for different figures of merit and input conditions, imposing hundreds of performance goals. The design problem is stated as a numeric search in the filter parameters space to attain all specifications or at least minimize, in a compromise, the excess over some specifications as much as possible, applying global optimization techniques coming from evolutionary computation field. Besides, a new methodology is proposed to integrate specifications in a fitness function able to effectively guide the search to suitable solutions. The method has been applied to the design of an IMM tracker for a real-world civil air traffic control application: the accomplishment of specifications defined for the future European ARTAS system.
Algorithms, 2009
In this paper a method for selecting features for Human Activity Recognition from sensors is pres... more In this paper a method for selecting features for Human Activity Recognition from sensors is presented. Using a large feature set that contains features that may describe the activities to recognize, Best First Search and Genetic Algorithms are employed to select the feature subset that maximizes the accuracy of a Hidden Markov Model generated from the subset. A comparative of the proposed techniques is presented to demonstrate their performance building Hidden Markov Models to classify different human activities using video sensors
Archivos De Bronconeumologia, 2010
Historia del artículo: Recibido el 2 de febrero de 2010 Aceptado el 3 de mayo de 2010 On-line el ... more Historia del artículo: Recibido el 2 de febrero de 2010 Aceptado el 3 de mayo de 2010 On-line el 23 de junio de 2010
Onzas ¿El Onza -un acoplamiento que falta entre el puma y el cheetah? Lo que sigue se reproduce d... more Onzas ¿El Onza -un acoplamiento que falta entre el puma y el cheetah? Lo que sigue se reproduce del número el 2 de febrero de 2001 de Catamount vol. 2 ¿Cuál es un Onza?
IEEE Transactions on Evolutionary Computation, 2009
This paper addresses a real-world engineering design requiring the application of effective and g... more This paper addresses a real-world engineering design requiring the application of effective and global optimization techniques. The problem it deals with is the design of nonlinear tracking filters under up to several hundreds of performance specifications. The suitability of different evolutionary computation techniques for solving multiobjective problems is explored, contrasting the performance achieved with recent multiobjective evolutionary algorithm (MOEAs) proposals and different aggregation schemes. In particular, a new scheme is proposed to build a fitness function based on an operator that selects worst cases of multiple specifications in different situations. They have been evaluated in the design of an air traffic control (ATC) tracking filter that should accomplish a specific normative with 264 specifications. Results show their performance in terms of effectiveness and computational load, comparing their capability to scale the problem with respect to problem size.
Eurasip Journal on Advances in Signal Processing, 2003
This paper describes the application of evolution strategies to the design of interacting multipl... more This paper describes the application of evolution strategies to the design of interacting multiple model (IMM) tracking filters in order to fulfill a large table of performance specifications. These specifications define the desired filter performance in a thorough set of selected test scenarios, for different figures of merit and input conditions, imposing hundreds of performance goals. The design problem is stated as a numeric search in the filter parameters space to attain all specifications or at least minimize, in a compromise, the excess over some specifications as much as possible, applying global optimization techniques coming from evolutionary computation field. Besides, a new methodology is proposed to integrate specifications in a fitness function able to effectively guide the search to suitable solutions. The method has been applied to the design of an IMM tracker for a real-world civil air traffic control application: the accomplishment of specifications defined for the future European ARTAS system.
Algorithms, 2009
In this paper a method for selecting features for Human Activity Recognition from sensors is pres... more In this paper a method for selecting features for Human Activity Recognition from sensors is presented. Using a large feature set that contains features that may describe the activities to recognize, Best First Search and Genetic Algorithms are employed to select the feature subset that maximizes the accuracy of a Hidden Markov Model generated from the subset. A comparative of the proposed techniques is presented to demonstrate their performance building Hidden Markov Models to classify different human activities using video sensors
Archivos De Bronconeumologia, 2010
Historia del artículo: Recibido el 2 de febrero de 2010 Aceptado el 3 de mayo de 2010 On-line el ... more Historia del artículo: Recibido el 2 de febrero de 2010 Aceptado el 3 de mayo de 2010 On-line el 23 de junio de 2010
Onzas ¿El Onza -un acoplamiento que falta entre el puma y el cheetah? Lo que sigue se reproduce d... more Onzas ¿El Onza -un acoplamiento que falta entre el puma y el cheetah? Lo que sigue se reproduce del número el 2 de febrero de 2001 de Catamount vol. 2 ¿Cuál es un Onza?