On the automatic planning of healthy and balanced menus. - Alejandro Marrero; Eduardo Segredo; Coromoto León (GECCO (Companion), 2019)

A parallel genetic algorithm to speed up the resolution of the algorithm selection problem. - Alejandro Marrero; Eduardo Segredo; Coromoto León (GECCO Companion, 2021)

A Novelty-Search Approach to Filling an Instance-Space with Diverse and Discriminatory Instances for the Knapsack Problem. - Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart (PPSN (1), 2022)

Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space. - Alejandro Marrero; Eduardo Segredo; Emma Hart; Jakob Bossek; Aneta Neumann (GECCO, 2023)

DIGNEA: A tool to generate diverse and discriminatory instance suites for optimisation domains. - Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart (SoftwareX, 2023)

Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. - Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart (GECCO, 2024)

Synthesising Diverse and Discriminatory Sets of Instances Using Novelty Search in Combinatorial Domains. - Alejandro Marrero; Eduardo Segredo; Coromoto León; Emma Hart (Evol. Comput., 2025)