Improving SMT performance: an application of genetic algorithms to configure resizable caches. - Josefa Díaz; José Ignacio Hidalgo; Francisco Fernández 001; Oscar Garnica; Sonia López (GECCO (Companion), 2009)

Parisian Approach - Reducing Computational Effort to Improve SMT Performance by setting Resizable Caches. - Josefa Díaz; Francisco Fernández de Vega; José Ignacio Hidalgo; Oscar Garnica (IJCCI (ICEC), 2010)

Comparison of Metaheuristics for Workforce Distribution in Multi-skill Call Centres. - David Millán-Ruiz; José Ignacio Hidalgo; Josefa Díaz (IJCCI (ICEC), 2010)

Solving GA-hard problems with EMMRS and GPGPUs. - José Ignacio Hidalgo; J. Manuel Colmenar; José Luis Risco-Martín; Carlos Sánchez-Lacruz; Juan Lanchares; Oscar Garnica; Josefa Díaz (GECCO, 2014)

A methodology to automatically optimize dynamic memory managers applying grammatical evolution. - José L. Risco-Martín; J. Manuel Colmenar; José Ignacio Hidalgo; Juan Lanchares; Josefa Díaz (J. Syst. Softw., 2014)

Optimizing Performance of L1 Cache Memory for Embedded Systems driven by Differential Evolution. - Josefa Díaz Álvarez; J. Manuel Colmenar; José L. Risco-Martín; Juan Lanchares; Oscar Garnica (GECCO (Companion), 2015)

A Cross-Platform Assessment of Energy Consumption in Evolutionary Algorithms - Towards Energy-Aware Bioinspired Algorithms. - Francisco Fernández de Vega; Francisco Chávez de la O; Josefa Díaz; Juan Ángel García; Pedro A. Castillo; Juan Julián Merelo Guervós; Carlos Cotta (PPSN, 2016)

Multi-objective optimization of energy consumption and execution time in a single level cache memory for embedded systems. - Josefa Díaz Álvarez; José L. Risco-Martín; J. Manuel Colmenar (J. Syst. Softw., 2016)

Optimizing L1 cache for embedded systems through grammatical evolution. - Josefa Díaz Álvarez; J. Manuel Colmenar; José L. Risco-Martín; Juan Lanchares; Oscar Garnica (Soft Comput., 2016)

Estimating Energy Consumption in Evolutionary Algorithms by Means of FRBS - Towards Energy-Aware Bioinspired Algorithms. - Josefa Díaz Álvarez; Francisco Chávez de la O; Juan Ángel García Martínez; Pedro Ángel Castillo Valdivieso; Francisco Fernández de Vega (EPIA, 2017)

Energy-consumption prediction of genetic programming algorithms using a fuzzy rule-based system. - Francisco Chávez de la O; Francisco Fernández de Vega; Josefa Díaz; Juan Ángel García; Francisco J. Rodríguez 003; Pedro A. Castillo (GECCO (Companion), 2018)

Evolutionary design of the memory subsystem. - Josefa Díaz Álvarez; José L. Risco-Martín; J. Manuel Colmenar (Appl. Soft Comput., 2018)

A fuzzy rule-based system to predict energy consumption of genetic programming algorithms. - Josefa Díaz Álvarez; Francisco Chávez de la O; Pedro A. Castillo; Juan Ángel García Martínez; Francisco J. Rodríguez 003; Francisco Fernández de Vega (Comput. Sci. Inf. Syst., 2018)

Looking for Energy Efficient Genetic Algorithms. - Francisco Fernández de Vega; Josefa Díaz; Juan Ángel García; Francisco Chávez de la O; Jorge Alvarado 003 (EA, 2019)

An application of machine learning with feature selection to improve diagnosis and classification of neurodegenerative disorders. - Josefa Díaz Álvarez; Jordi A. Matias-Guiu; María Nieves Cabrera-Martín; José L. Risco-Martín; José L. Ayala (BMC Bioinform., 2019)

GA-MADRID: design and validation of a machine learning tool for the diagnosis of Alzheimer's disease and frontotemporal dementia using genetic algorithms. - Fernando García-Gutierrez; Josefa Díaz Álvarez; Jordi A. Matias-Guiu; Vanesa Pytel; Jorge Matías-Guiu; María Nieves Cabrera-Martín; José L. Ayala (Medical Biol. Eng. Comput., 2022)

An Innovative Approach for Managing the Water Requirements of Fig Trees Using Artificial Intelligence. - Josefa Díaz Álvarez; Francisco Chávez de la O; María José Moñino (EvoApplications (2), 2025)

Hybridization of Techniques Based on Genetic Algorithms and Neural Networks to Determine the Water Requirements of Fig Trees. - Francisco Chávez 001; Josefa Díaz Álvarez; María José Moñino (EvoApplications (2), 2025)