PasMoQAP: A parallel asynchronous memetic algorithm for solving the Multi-Objective Quadratic Assignment Problem. - Claudio Sanhueza; Francia Jimenez; Regina Berretta; Pablo Moscato (CEC, 2017)

A multi-objective approach for the (α, β)-k-feature set problem using memetic algorithms. - Francia Jimenez; Claudio Sanhueza; Regina Berretta; Pablo Moscato (GECCO (Companion), 2017)

Accelerating a multi-objective memetic algorithm for feature selection using hierarchical k-means indexes. - Francia Jiménez; Claudio Sanhueza; Regina Berretta; Pablo Moscato (GECCO (Companion), 2018)

mQAPViz: a divide-and-conquer multi-objective optimization algorithm to compute large data visualizations. - Claudio Sanhueza; Francia Jiménez; Regina Berretta; Pablo Moscato (GECCO, 2018)

Visualizing Products and Consumers: A Gestalt Theory Inspired Method. - Claudio Sanhueza Lobos; Natalie Jane de Vries; Mario Inostroza-Ponta; Regina Berretta; Pablo Moscato (Business and Consumer Analytics: New Ideas, 2019)

An efficient genetic algorithm for the train scheduling problem with fleet management. - Claudio Sanhueza; Alexandre Mendes; Martin Jackson; Riley Clement (CEC, 2020)

A decentralised multi-agent system for rail freight traffic management. - Allan Messeder Caldas Bretas; Alexandre Mendes; Martin Jackson; Riley Clement; Claudio Sanhueza; Stephan K. Chalup (Ann. Oper. Res., 2023)

Addressing deadlock in large-scale, complex rail networks via multi-agent deep reinforcement learning. - Allan Messeder Caldas Bretas; Alexandre Mendes; Stephan K. Chalup; Martin Jackson; Riley Clement; Claudio Sanhueza (Expert Syst. J. Knowl. Eng., 2025)