Publications

The list covers journal articles, books and conference papers, newest first. Citation metrics and the complete record are on Google Scholar and Scopus.

Journal Articles (JCR)

• Cassis, J. P., Gatica, J., Rojas-Morales, N., and Hernández Castellanos, C. (2026). MHMetLib: A new performance indicators library for trajectory and population-based metaheuristics. Applied Sciences, 16(7), 3529.

• Hernández, C., Rodriguez-Fernandez, A. E., Schäpermeier, L., Cuate, O., Trautmann, H., and Schütze, O. (2025). An evolutionary approach for the computation of ϵ-locally optimal solutions for multi-objective multimodal optimization. IEEE Transactions on Evolutionary Computation.

• Rivera, J. A. L., Castellanos, C. I. H., Morales, R., and Cortés, L. A. P. (2025). On the multi-objective hyperparameter optimization of the weighted entropic associative memory. Scientific Reports, 15(1), 38772.

• García-Núñez, D., Rodríguez-Vázquez, K., Hernández, C., and Galván, E. (2025). Neuroevolution-based multiobjective algorithm for feature selection and binary classification of DNA microarrays. Applied Soft Computing, 113520.

• Galindo-Hernández, R., Rodríguez-Vázquez, K., Galán-Vásquez, E., and Hernández Castellanos, C. I. (2025). Online-adjusted evolutionary biclustering algorithm to identify significant modules in gene expression data. Briefings in Bioinformatics, 26(1), bbae681.

• Schütze, O., Rodríguez-Fernandez, A. E., Segura, C., and Hernández, C. (2025). Finding the set of nearly optimal solutions of a multiobjective optimization problem. IEEE Transactions on Evolutionary Computation, 29(1), 145–157.

• Lara Moreno, Y., and Hernández Castellanos, C. I. (2024). A hierarchical approach to a tri-objective portfolio optimization problem considering an ESG index. Mathematics, 12(19), 3145.

• Rodriguez-Fernandez, A. E., Schäpermeier, L., Hernández, C., Kerschke, P., Trautmann, H., and Schütze, O. (2024). Finding ϵ-locally optimal solutions for multi-objective multimodal optimization. IEEE Transactions on Evolutionary Computation. doi: 10.1109/TEVC.2024.3458855.

• López-Ruiz, S., Hernández-Castellanos, C. I., and Rodríguez-Vázquez, K. (2024). Multi-objective optimization of neural network with stochastic directed search. Expert Systems with Applications, 237, 121535.

• Enríquez-Zárate, J., Gómez-Peñate, S., Hernández, C., Villarreal-Valderrama, F., Velázquez, R., and Trujillo, L. (2023). Optimization of vibration control using a hybrid scheme with sliding-mode and positive position feedback. Optimal Control Applications and Methods.

• Hernández Castellanos, C. I., Ober-Blöbaum, S., and Peitz, S. (2020). Explicit multiobjective model predictive control for nonlinear systems under uncertainty. International Journal of Robust and Nonlinear Control, 30(17), 7593–7618.

• Hernández Castellanos, C. I., Schütze, O., Sun, J. Q., Morales-Luna, G., and Ober-Blöbaum, S. (2020). Numerical computation of lightly multi-objective robust optimal solutions by means of generalized cell mapping. Mathematics, 8(11), 1959.

• Schütze, O., Hernández, C., Talbi, E. G., Sun, J. Q., Naranjani, Y., and Xiong, F. R. (2019). Archivers for the representation of the set of approximate solutions for MOPs. Journal of Heuristics, 25(1), 71–105.

• Sardahi, Y., Sun, J. Q., Hernández, C., and Schütze, O. (2017). Many-objective optimal and robust design of proportional-integral-derivative controls with a state observer. Journal of Dynamic Systems, Measurement, and Control, 139(2).

• Qin, Z. C., Xiong, F. R., Ding, Q., Hernández, C., Fernández, J., Schütze, O., and Sun, J. Q. (2017). Multi-objective optimal design of sliding mode control with parallel simple cell mapping method. Journal of Vibration and Control, 23(1), 46–54.

• Fernández, J., Schütze, O., Hernández, C., Sun, J. Q., and Xiong, F. R. (2016). Parallel simple cell mapping for multi-objective optimization. Engineering Optimization, 48(11), 1845–1868.

• Xiong, F. R., Qin, Z. C., Ding, Q., Hernández, C., Fernández, J., Schütze, O., and Sun, J. Q. (2015). Parallel cell mapping method for global analysis of high-dimensional nonlinear dynamical systems. Journal of Applied Mechanics, 82(11), 111010.

Other Journal Articles

• Hernández Castellanos, C. I., and Schütze, O. (2022). A bounded archiver for Hausdorff approximations of the Pareto front for multi-objective evolutionary algorithms. Mathematical and Computational Applications, 27(3), 48.

• Khan, M. A., Sardahi, Y., and Hernández Castellanos, C. I. (2022). Multi-objective and robust design of a semi-active suspension system. International Journal on Engineering, Science and Technology, 4(1), 1–13.

• Hernández Castellanos, C. I., Schütze, O., Sun, J. Q., and Ober-Blöbaum, S. (2020). Non-epsilon dominated evolutionary algorithm for the set of approximate solutions. Mathematical and Computational Applications, 25(1), 3.

• Enríquez-Zárate, J., Trujillo, L., Toledo-Ramírez, G. K., Ramos-Cirilo, Á. J., and Hernández, C. (2018). Optimization of PPF control of a building-like structure for vibration control. Computación y Sistemas, 22(2), 413–424.

• Naranjani, Y., Hernández, C., Xiong, F. R., Schütze, O., and Sun, J.-Q. (2016). A hybrid method of evolutionary algorithm and simple cell mapping for multi-objective optimization problems. International Journal of Dynamics and Control.

• Hernández, C., Naranjani, Y., Sardahi, Y., Liang, W., Schütze, O., and Sun, J. Q. (2013). Simple cell mapping method for multi-objective optimal feedback control design. International Journal of Dynamics and Control, 1(3), 231–238.

• Xiong, F., Qin, Z., Hernández, C., Sardahi, Y., Naranjani, Y., Liang, W., and Sun, J. (2013). A multi-objective optimal PID control for a nonlinear system with time delay. Theoretical and Applied Mechanics Letters, 3(6).

Books and Book Chapters

• Schütze, O., and Hernández, C. (2021). Archiving Strategies for Multi-objective Evolutionary Optimization Algorithms. Nonlinear Systems and Complexity. Springer International Publishing.

• Sun, J.-Q., Xiong, F.-R., Schütze, O., and Hernández, C. (2018). Cell Mapping Methods: An Algorithmic Approach and Applications. Nonlinear Systems and Complexity. Springer International Publishing.

• Enríquez-Zárate, J., Trujillo, L., Hernández, C., and Sánchez, C. N. (2017). Optimal design of sliding mode control combined with positive position feedback. In Numerical and Evolutionary Optimization (pp. 187–199). Springer, Cham.

• Hernández, C., Schütze, O., and Sun, J. Q. (2017). Global multi-objective optimization by means of cell mapping techniques. In EVOLVE: A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII (pp. 25–56). Springer International Publishing.

International Conference Papers

• Rodriguez-Fernandez, A. E., Hernández Castellanos, C. I., and Schütze, O. (2025). On the approximation of the entire Pareto front of a constrained multi-objective optimization problem. In International Conference on Evolutionary Multi-Criterion Optimization (pp. 85–98). Springer Nature Singapore.

• López-Ruiz, S., Hernández-Castellanos, C. I., and Rodríguez-Vázquez, K. (2022). Multi-objective framework for quantile forecasting in financial time series using transformers. In Proceedings of the Genetic and Evolutionary Computation Conference (pp. 395–403).

• Hernández, C., and Schütze, O. (2022). A bounded archive for bi-objective problems based on distance and epsilon-dominance to avoid cyclic behavior. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2022), Boston, MA, USA (pp. 9–13).

• Khan, M. A., Sardahi, Y., and Hernández Castellanos, C. I. (2021). Robust multi-objective optimal design of a racing car suspension system. In Proceedings of the International Conference on Engineering, Science and Technology (p. 12).

• Wang, H., Hernández Castellanos, C. I., and Eftimov, T. (2021). On statistical analysis of MOEAs with multiple performance indicators. In International Conference on Evolutionary Multi-Criterion Optimization (pp. 26–37). Springer, Cham.

• Menchaca-Mendez, A., Hernández, C., and Coello, C. A. C. (2016). Δp-MOEA: A new multi-objective evolutionary algorithm based on the Δp indicator. In 2016 IEEE Congress on Evolutionary Computation (CEC) (pp. 3753–3760). IEEE.

• Qin, Z. C., Xiong, F. R., Ding, Q., Hernández, C., Fernandez, J., Schütze, O., and Sun, J. Q. (2015). Multi-objective optimal design and validation of sliding mode control. In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (pp. V008T13A015). American Society of Mechanical Engineers.

• Kerschke, P., Preuss, M., Hernández, C., Schütze, O., Sun, J.-Q., Grimme, C., Rudolph, G., Bischl, B., and Trautmann, H. (2014). Cell mapping techniques for exploratory landscape analysis. In EVOLVE 2014: A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing. Beijing, P. R. China.

• Hernández, C., Schütze, O., Emmerich, M., Xiong, F.-R., and Sun, J.-Q. (2014). Barrier tree for continuous landscapes by means of generalized cell mapping. In EVOLVE 2014: A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing. Beijing, P. R. China.

• Hernández, C., Sun, J.-Q., and Schütze, O. (2013). Computing the set of approximate solutions of a multi-objective optimization problem by means of cell mapping techniques. In EVOLVE 2013: A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing. Leiden, The Netherlands.

• Naranjani, Y., Hernández, C., Xiong, F.-R., Schütze, O., and Sun, J.-Q. (2013). A hybrid algorithm for the simple cell mapping method in multi-objective optimization. In EVOLVE 2013: A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing. Leiden, The Netherlands.

• Naranjani, Y., Sardahi, Y., Sun, J.-Q., Hernández, C., and Schütze, O. (2013). Fine structure of Pareto front of multi-objective optimal feedback control design. In Proceedings of the 2013 ASME Dynamic Systems and Control Conference. Stanford, California. DSCC2013-3944.

• Sardahi, Y., Naranjani, Y., Liang, W., Sun, J.-Q., Hernández, C., and Schütze, O. (2013). Multi-objective optimal control design with the simple cell mapping method. In Proceedings of the ASME 2013 International Mechanical Engineering Congress and Exposition. San Diego, California. IMECE2013-65506.

• Sardahi, Y., Naranjani, Y., Liang, W., Xiong, F.-R., Qin, Z.-C., Xue, Y., Hernández, C., Schütze, O., and Sun, J.-Q. (2013). Multi-objective optimal design of feedback controls for dynamical systems with time delay. In Proceedings of CSTAM Conference 2013.