Laura Cruz-Reyes es doctora en ciencias de la computación del Centro Nacional de Investigación y Desarrollo Tecnológico (2004), maestra en ciencias de la computación (1999) y maestra en ciencias en sistemas de información (1984) del Instituto Tecnológico de Monterrey, e ingeniera química en producción del Instituto Tecnológico Nacional de México campus Ciudad Madero (TecNM/ITCM, 1981). Es profesora de tiempo completo de Ciencias de la Computación en el TecNM/ ITCM desde 1984. Pertenece al Sistema Nacional de Investigadores del CONACYT, con nivel III. Es líder del cuerpo académico consolidado en Optimización Inteligente ante PRODEP desde 2000. Es miembro de la Sociedad Mexicana de Investigación de Operaciones (SMIO), la Sociedad Mexicana de Inteligencia Artificial (SMIA) y la Academia Mexicana de Computación (AMEXCOMP). Su trabajo se ha centrado en modelar y resolver problemas complejos de optimización (NP-duro) para entornos con muchos objetivos, dinámicos y con presencia de incertidumbre y preferencias, apoyado principalmente en disciplinas de inteligencia artificial e investigación operativa. En este contexto, sus principales intereses de investigación incluyen metaheurísticas, aprendizaje automático, lógica difusa, decisión multicriterio y logística. Se ha desempeñado como editora invitada de varios números especiales en revistas como International Journal of Fuzzy Systems, Axioms e International Journal of Combinatorial of Combinatorial Optimization Problems. Ha sido árbitro de revistas y congresos nacionales internacionales en inteligencia artificial y optimización.

PUBLICACIONES RECIENTES INDIZADAS EN JCR

1. (2023) Rivera, G., Cruz-Reyes, L., Fernandez, E., Gomez-Santillan, C., Rangel-Valdez, N., & Coello, C. A. C. (2023). An ACO-based Hyper-heuristic for Sequencing Many-objective Evolutionary Algorithms that Consider Different Ways to Incorporate the DM's Preferences. Swarm and Evolutionary Computation, 76, 101211.
2. (2023) Estrada-Padilla, A., Gómez-Santillán, C., Fraire-Huacuja, H. J., Cruz-Reyes, L., Rangel-Valdez, N., Morales-Rodríguez, M. L., & Puga-Soberanes, H. J. (2023). GRASP/Δ: An efficient algorithm for the multi-objective portfolio optimization problem. Expert Systems with Applications, 211, 118647.
3. (2022) Fernández, E., Gómez-Santillán, C., Rangel-Valdez, N., & Cruz-Reyes, L. (2022). Group Multi-Objective Optimization Under Imprecision and Uncertainty Using a Novel Interval Outranking Approach. Group Decision and Negotiation, 31(5), 945-994.
4. (2022) Inzunza-Aragón, Indira, Ruiz, Sonia E.,Cruz-Reyes, Laura (2022). Use of Artificial Neural Networks and Response Surface Methodology for Evaluating the Reliability Index of Steel Wind Towers. Advances in Civil Engineering, Hindawi. SN:1687-8086. https://doi.org/10.1155/2022/4219524
5. (2022) Santos-Santiago, M. A., Ruiz, S. E., & Cruz-Reyes, L. (2022). Optimal design of buildings under wind and earthquake, considering cumulative damage. Journal of Building Engineering, 104760.
6. (2022) Reyes, H. E., Bojórquez, J., Cruz-Reyes, L., Ruiz, S. E., Reyes-Salazar, A., Bojórquez, E., ... & Torres, J. R. (2022). Development an Artificial Neural Network Model for Estimating Cost of R/C Building by Using Life-Cycle Cost Function: Case Study of Mexico City. Advances in Civil Engineering, 2022. 
7. (2022) Castellanos, A., Cruz-Reyes, L., Fernández, E., Rivera, G., Gomez-Santillan, C., & Rangel-Valdez, N. (2022). Hybridisation of Swarm Intelligence Algorithms with Multi-Criteria Ordinal Classification: A Strategy to Address Many-Objective Optimisation. Mathematics 10(3): 322.
8. (2022) Rivera, G., Coello, C. A. C., Cruz-Reyes, L., Fernandez, E. R., Gomez-Santillan, C., & Rangel-Valdez, N.  (2022). Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking. Swarm and Evolutionary Computation 69: 101024
9. (2022) Soto, C., Del Ángel-Martínez, E., Fraire-Huacuja, H., Dorronsoro, B., Rangel, N., & Cruz-Reyes, L. (2022). Two novel branch and bound algorithms for the vertex bisection problem. Expert Systems with Applications, 190, 116169. ISSN 0957-4174
10. (2022) Fernández, E., Rangel-Valdez, N., Cruz-Reyes, L., Gomez-Santillan, C. G., & Coello-Coello, C. A. (2022). Preference incorporation in MOEA/D using an outranking approach with imprecise model parameters. Swarm and Evolutionary Computation, 101097.
11. (2022) Espin-Andrade, R. A., Cruz-Reyes, L., Llorente-Peralta, C., González-Caballero, E., Pedrycz, W., & Ruiz, S. (2022). Archimedean Compensatory Fuzzy Logic as a Pluralist Contextual Theory Useful for Knowledge Discovery. International Journal of Fuzzy Systems, 24(1), 474-494.
12. (2022) Balderas, F., Fernández, E., Cruz-Reyes, L., Gómez-Santillán, C., & Rangel-Valdez, N. Solving group multi-objective optimization problems by optimizing consensus through multi-criteria ordinal classification. European Journal of Operational Research, 297(3), 1014-1029. https://doi.org/10.1016/j.ejor.2021.05.032
13. (2021) Castellanos-Alvarez, A., Cruz-Reyes, L., Fernandez, E., Rangel-Valdez, N., Gómez-Santillán, C., Fraire, H., & Brambila-Hernández, J. A. (2021). A Method for Integration of Preferences to a Multi-Objective Evolutionary Algorithm Using Ordinal Multi-Criteria Classification. Mathematical and Computational Applications, 26(2), 27.
14. (2021) Fernández, E., Rangel-Valdez, N., Cruz-Reyes, L., & Gomez-Santillan, C. (2021). A New Approach to Group Multi-Objective Optimization under Imperfect Information and Its Application to Project Portfolio Optimization. Applied Sciences, 11(10), 4575.
15. (2021) Espin-Andrade, R. A., Pedrycz, W., Solares, E., & Cruz-Reyes, L. (2021). Transdisciplinary Scientific Strategies for Soft Computing Development: Towards an Era of Data and Business Analytics. Axioms, 10(2), 93.
16. (2020) Rangel-González, J. A., Fraire, H., Solís, J. F., Cruz-Reyes, L., Gomez-Santillan, C., Rangel-Valdez, N., & Carpio-Valadez, J. M. (2020). Fuzzy Multi-objective Particle Swarm Optimization Solving the Three-Objective Portfolio Optimization Problem. International Journal of Fuzzy Systems, 1-9.
17. (2020) Delgado-Hernández, X.S., M. Lucila Morales-Rodriguez, Nelson Rangel-Valdez, Laura Cruz-Reyes, Jorge Castro-Rivera. Development of Conversational Deliberative Agents Driven by Personality via Fuzzy Outranking Relations. International Journal of Fuzzy Systems, 2020, pp. 1-15
18. (2020) Nelson Rangel-Valdez, Claudia Gómez-Santillán, J. Carlos Hernández-Marín, Lucila Morales Rodriguez, Laura Cruz-Reyes, Hector Fraire. Parallel Designs for Metaheuristics that Solve Portfolio Selection Problems Using Fuzzy Outranking Relations. International Journal of Fuzzy Systems, 2020, pp. 1-13.
19. (2020) Carlos Soto, Bernabe Dorronsoro, Hector Fraire, Laura Cruz-Reyes, Claudia Gomez-Santillan, Nelson Rangel-Valdez. Solving the multi-objective flexible job shop scheduling problem with a novel parallel branch and bound algorithm. Swarm and Evolutionary Computation, 2020, vol. 53, pp. 100632
20. (2020) Cruz-Reyes, L., Fernandez, E., Sanchez-Solis, J. P., Coello, C. A. C., & Gomez, C. (2020). Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods. Swarm and Evolutionary Computation, 54, 100652.
21. (2020) Macias-Escobar, T., Cruz-Reyes, L., Fraire, H., & Dorronsoro, B. (2020). Plane Separation: A method to solve dynamic multi-objective optimization problems with incorporated preferences. Future Generation Computer Systems, 110, 864-875.
22. (2019) Juan de Anda-Suarez, Solai Jeyakumar, Martin Carpio, Hector J. Puga, Alfonso Rojas-Dominguez, Laura Cruz-Reyes, Juan F. Mosiño. Parameter optimization for the smoothed-particle hydrodynamics method by means of evolutionary metaheuristics. Computer Physics Communications, 2019, vol. 243, p. 30-40.
23. (2019) Teodoro Macias-Escobar, Laura Cruz-Reyes, Bernabe Dorronsoro, Hector Fraire, Nelson Rangel-Valdez, Claudia Gomez-Santillan. Application of population evolvability in a hyper-heuristic for dynamic multi-objective optimization. Technological and Economic Development of Economy, 2019, vol. 25, no 5, p. 951-978.
24. (2019) Fausto Balderas, Eduardo Fernandez, Claudia Gomez-Santillan, Nelson Rangel-Valdez, Laura Cruz-Reyes. An interval-based approach for evolutionary multi-objective optimisation of project portfolios.  International Journal of Information Technology & Decision Making (IJITDM), 2019, vol. 18, no 4, p. 1317-1358.
25. (2019) Eduardo Fernandez, Nelson Rangel-Valdez, Laura Cruz-Reyes, Claudia Gomez-Santillan, Gilberto Rivera-Zarate, Patricia Sanchez-Solis. Inferring parameters of a relational system of preferences from assignment examples using an evolutionary algorithm. Technological and Economic Development of Economy, 2019, vol. 25, no 4, p. 693-715.