M. Lozano

Publication List Details

Period

1994 - 2008

Number

11

Co-Authors

Real-Parameter Crossover Operators with Multiple Descendents: An Experimental Study (2008)

A. M. Sánchez, M. Lozano, C. García-martínez, D. Molina, F. Herrera

Crossover operators with multiple descendents produce more than two offspring for each pair of parents. They were suggested as alternative method to the common practice of generating only two...

COMPLAINTS AND SUGGESTIONS WEB-BASED COLLABORATIVE PROCEDURE 1 (2008)

J. A. Gallud, A. Fernández-caballero, M. Lozano

Abstract – Citizens in modern societies demand quality public services. People like to participate and collaborate in local governments by means of suggestions and complaints submission....

Neutron reactions and nuclear cosmo-chronology (2007)

Heil, M, Kappeler, F, Mengoni, A, Plag, R, Fujii, K, ...

The beta-decay of Re-187 (t(1/2) = 42.3 Gyr) represents a suited cosmo-chronometer for the age of the r-process abundances, since the radiogenic part of the daughter isotope (OS)-O-187 is defined by...

On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining (2006)

J. R. Cano, F. Herrera, M. Lozano, Francisco Herrera B, Manuel Lozano B

In this paper we present a new approach for training set selection in large size data sets. The algorithm consists on the combination of stratification and evolutionary algorithms. The stratification...

Low Dose Rate Effects And Ionization Radiation Tolerance Of The Atlas Tracker (2001)

M. Ullán, D. Dorfan, T. Dubbs, A. A. Grillo, E. Spencer, ...

Ionization damage has been investigated in the IC designed for the readout of the detectors in the Semiconductor Tracker (SCT) of the ATLAS experiment at the LHC, the ABCD chip. The technology used...

Fuzzy Genetic Algorithms: Issues and Models (1999)

F. Herrera, M. Lozano

There are two possible ways for integrating Fuzzy Logic and Genetic Algorithms. One involves the application of Genetic Algorithms for solving optimization and search problems related with fuzzy...

Applying Genetic Algorithms in Fuzzy Optimization Problems (1994)

F. Herrera, F. Herrera, M. Lozano, M. Lozano, J. L. Verdegay, J. L. Verdegay

Genetic Algorithms as function optimizers are global optimization techniques based on natural selection principles that can be efficiently used in high dimensional, multimodal and complex problems....

The use of fuzzy connectives to design real-coded genetic algorithms (1994)

Herrera Triguero, Francisco, Lozano, M., Verdegay, José Luis

Genetic algorithms are adaptive methods that use principles inspired by natural population genetics to evolve solutions to search and optimization problems. Genetic algorithms process a population of...