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)

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)

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)

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)

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)