An independent and non-intrusive laser pointer environment control device system. - Francisco Chávez de la O; Francisco Fernández de Vega; Gustavo Olague; Joaquín Llano Montero (ICPS, 2008)

Increasing GP Computing Power via Volunteer Computing - Daniel Lombraña Gonzalez; Francisco Fernández de Vega; Leonardo Trujillo; Gustavo Olague; Francisco Chávez de la O; Miguel Cárdenas-Montes; Lourdes Araujo; Pedro A. Castillo; Ken Sharman (CoRR, 2008)

Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems. - Francisco Chávez de la O; Francisco Fernández 001; Jesús Alcalá-Fdez; Rafael Alcalá; Francisco Herrera; Gustavo Olague (FUZZ-IEEE, 2010)

Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach. - Francisco Fernández 001; Francisco Chávez de la O; Rafael Alcalá; Francisco Herrera (IEEE Congress on Evolutionary Computation, 2011)

Evolutionary learning of a laser pointer detection fuzzy system for an environment control system. - Francisco Chávez de la O; Francisco Fernández 001; Rafael Alcalá; Jesús Alcalá-Fdez; Francisco Herrera (FUZZ-IEEE, 2011)

Fuzzy Rule Based System Ensemble for Music Genre Classification. - Francisco Fernández 001; Francisco Chávez de la O (EvoMUSART, 2012)

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments. - Francisco Chávez de la O; Francisco Fernández 001; Rafael Alcalá; Jesús Alcalá-Fdez; Gustavo Olague; Francisco Herrera (Appl. Intell., 2012)

Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems. - Francisco Chávez de la O; Francisco Fernández 001; María José Gacto; Rafael Alcalá (Int. J. Comput. Intell. Syst., 2012)

Unplugging evolutionary algorithms: On the sources of novelty and creativity. - Francisco Fernández de Vega; Lilian Navarro; Cayetano Cruz; Francisco Chávez de la O; Luis Espada; Patricia Hernández Rondan; Tania Gallego (IEEE Congress on Evolutionary Computation, 2013)

Self-adjusting focus of attention by means of GP for improving a laser point detection system. - Eddie Clemente; Francisco Chávez de la O; León Dozal; Francisco Fernández de Vega; Gustavo Olague (GECCO, 2013)

A Multi-objective Evolutionary Algorithm for Interaction Systems Based on Laser Pointers. - Francisco Chávez de la O; Eddie Clemente; Daniel E. Hernández 001; Francisco Fernández de Vega; Gustavo Olague (EvoApplications, 2015)

Ephemeral Computing and Bioinspired Optimization. - Carlos Cotta; Antonio José Fernández Leiva; Francisco Fernández de Vega; Francisco Chávez de la O; Juan Julián Merelo Guervós; Pedro A. Castillo; David Camacho; Gema Bello Orgaz (IJCCI (ECTA), 2015)

Profiting from Several Recommendation Algorithms Using a Scalable Approach. - Daniel Lanza; Francisco Chávez de la O; Francisco Fernández 001; Mario García Valdez; Leonardo Trujillo; Gustavo Olague (NEO, 2015)

Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system. - Eddie Clemente; Francisco Chávez de la O; Francisco Fernández de Vega; Gustavo Olague (Appl. Soft Comput., 2015)

ECJ+HADOOP: An Easy Way to Deploy Massive Runs of Evolutionary Algorithms. - Francisco Chávez de la O; Francisco Fernández 001; César Benavides-Álvarez; Daniel Lanza; Juan Villegas-Cortéz; Leonardo Trujillo; Gustavo Olague; Graciela Román-Alonso (EvoApplications (2), 2016)

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)

Application Areas of Ephemeral Computing: A Survey. - Carlos Cotta; Antonio José Fernández Leiva; Francisco Fernández de Vega; Francisco Chávez de la O; Juan Julián Merelo Guervós; Pedro A. Castillo; David Camacho; María D. R.-Moreno (Trans. Comput. Collect. Intell., 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)

Involving local administrations in STEM promotion: How to extend STEM initiatives to a whole region. - Francisco Fernández de Vega; M. Concepcion Garcia; Francisco Chávez de la O (FIE, 2017)

GP-based motion control design for the double-integrator system subject to velocity constraint. - Ollin Peñaloza-Mejía; Eddie Clemente; Marlen Meza-Sánchez; Cynthia B. Pérez; Francisco Chávez de la O (GECCO (Companion), 2017)

Analyzing quality clarinet sound using deep learning. A preliminary study. - Francisco Chávez de la O; Francisco Fernández de Vega; Francisco J. Rodriguez Diaz (SSCI, 2017)

On the impact of STEM sustained actions on the future of young students. - Francisco Fernández de Vega; M. Concepcion Garcia; Francisco Chávez de la O (FIE, 2018)

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)

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)

From ephemeral computing to deep bioinspired algorithms: New trends and applications. - David Camacho; Raúl Lara-Cabrera; Juan Julián Merelo Guervós; Pedro A. Castillo; Carlos Cotta; Antonio José Fernández Leiva; Francisco Fernández de Vega; Francisco Chávez de la O (Future Gener. Comput. Syst., 2018)

Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition. - Francisco Chávez de la O; Francisco Fernández de Vega; Daniel Lanza; César Benavides-Álvarez; Juan Villegas-Cortéz; Leonardo Trujillo; Gustavo Olague; Graciela Román-Alonso (Int. J. High Perform. Comput. Appl., 2018)

Fuzzy techniques for IPO underpricing prediction. - David Quintana; Francisco Chávez 001; Rafael Marcos Luque Baena; Francisco Luna 001 (J. Intell. Fuzzy Syst., 2018)

Study and classification of plum varieties using image analysis and deep learning techniques. - Francisco J. Rodríguez 003; Antonio García; Pedro J. Pardo; Francisco Chávez 001; Rafael M. Luque-Baena (Prog. Artif. Intell., 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)

METSK-HD-Angeleno: How to predict fruit quality using Multiobjective Evolutionary learning of TSK systems. - Francisco Chávez de la O; Antonio Vivas; María José Moñino; Francisco Fernández 001 (CEC, 2019)

It Is Time for New Perspectives on How to Fight Bloat in GP. - Francisco Fernández de Vega; Gustavo Olague; Francisco Chávez de la O; Daniel Lanza; Wolfgang Banzhaf; Erik D. Goodman (GPTP, 2019)

Real-Time Context-Aware Microservice Architecture for Predictive Analytics and Smart Decision-Making. - Guadalupe Ortiz 001; José Antonio Caravaca; Alfonso García de Prado; Francisco Chávez de la O; Juan Boubeta-Puig (IEEE Access, 2019)

Local search in speciation-based bloat control for genetic programming. - Perla Juárez-Smith; Leonardo Trujillo; Mario García Valdez; Francisco Fernández de Vega; Francisco Chávez de la O (Genet. Program. Evolvable Mach., 2019)

Mayors vs. STEM: The sad story of a big success in increasing STEM vocations. - Francisco Fernández de Vega; M. C. García; Francisco Chávez de la O (FIE, 2020)

Multi Pitch Estimation of Piano Music using Cartesian Genetic Programming with Spectral Harmonic Mask. - Rolando Miragaia; Gustavo Reis; Francisco Fernández de Vega; Francisco Chávez 001 (SSCI, 2020)

Time and Individual Duration in Genetic Programming. - Francisco Fernández de Vega; Gustavo Olague; Daniel Lanza; Francisco Chávez de la O; Wolfgang Banzhaf; Erik D. Goodman; Jose Menendez-Clavijo; Axel Martinez (IEEE Access, 2020)

Blood Glucose Prediction Using a Two Phase TSK Fuzzy Rule Based System. - Jorge Alvarado 003; J. Manuel Velasco; Francisco Chávez de la O; José Ignacio Hidalgo; Francisco Fernández de Vega (CEC, 2021)

Interest points reduction using evolutionary algorithms and CBIR for face recognition. - Juan Villegas-Cortéz; César Benavides-Álvarez; Carlos Avilés-Cruz; Graciela Román-Alonso; Francisco Fernández de Vega; Francisco Chávez 001; Salomón Cordero-Sánchez (Vis. Comput., 2021)

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)