Name: Carlos Cruz Corona

Title: Associate Professor

Affiliation: Department of Computer Science and Artificial Intelligence, University of Granada, Spain


Research fields:

Computational Intelligence and Information Management

Decision Support Systems, Multi-Criteria Decision Methods


Logistics, Transportation Warehousing and Maintenance


2005 Ph.D., University of Granada, Spain. Computer Science

1995 M.Sc., Technological University of Havana J. A. Echeverría, Cuba. Applied Computing for Engineering

1986 B.Sc., Central University of Las Villas, Cuba. Electronic Engineering


1.        C. Cruz, J.R. González, D.A. Pelta (2011). Optimization in dynamic environments: a survey on problems, methods and measures, Soft Computing 15 (7), 1427-1448

2.        JR González, A Sancho-Royo, DA Pelta, C Cruz (2008). Nature-Inspired Cooperative Strategies for Optimization, Encyclopedia of Networked and Virtual Organizations, 982-989.

3.        D. Pelta, A Sancho-Royo, C Cruz, JL Verdegay (2006). Using memory and fuzzy rules in a co-operative multi-thread strategy for optimization, Information Sciences 176 (13), 1849-1868   70

4.        P. Novoa-Hernández, C. Cruz, D. Pelta (2013). Self-adaptive, multipopulation differential evolution in dynamic environments, Soft Computing 17 (10), 1861-1881

5.        P. Novoa-Hernández, C. Cruz, D. Pelta (2011). Efficient multi-swarm PSO algorithms for dynamic environments,  Memetic Computing 3 (3), 163

6.        C. Cruz, D. Pelta (2009). Soft computing and cooperative strategies for optimization, Applied Soft Computing 9 (1), 30-38

7.        D Pelta, C Cruz, JL Verdegay (2009). Simple control rules in a cooperative system for dynamic optimisation problems, International Journal of General Systems 38 (7), 701-717

8.        P. Novoa-Hernández, C. Cruz, D. Pelta (2016). Self-adaptation in dynamic environments-a survey and open issues, International Journal of Bio-Inspired Computation 8 (1), 1-13

9.        D Pelta, C Cruz, JR González (2009). A study on diversity and cooperation in a multiagent strategy for dynamic optimization problems, International Journal of Intelligent Systems 24 (7), 844-861

10.    C Cruz, RC Silva, JL Verdegay (2011). Extending and relating different approaches for solving fuzzy quadratic problems, Fuzzy Optimization and Decision Making 10 (3), 193-210

11.    P Novoa-Hernández, DA Pelta, C Cruz (2010). Improvement strategies for multi-swarm PSO in dynamic environments, Nature inspired cooperative strategies for optimization 2010, Springer, 371-383.

12.    I Torres, C Cruz, JL Verdegay (2015). Solving the truck and trailer routing problem with fuzzy constraints, International Journal of Computational Intelligence Systems 8 (4), 713-724

13.    P Novoa, DA Pelta, C Cruz, IG del Amo (2009). Controlling particle trajectories in a multi-swarm approach for dynamic optimization problems. International Work-Conference on the Interplay Between Natural and Artificial Computation. Springer, 285-294

14.    RC Silva, C Cruz, JL Verdegay, A Yamakami (2010). A survey of fuzzy convex programming models, Fuzzy Optimization, 127-143     

15.    RC Silva, C Cruz, JL Verdegay (2013). Fuzzy costs in quadratic programming problems, Fuzzy Optimization and Decision Making 12 (3), 231-248

16.    AR Ramos, O Llanes-Santiago, JMB de Lázaro, C Cruz, AJS Neto (2017). A novel fault diagnosis scheme applying fuzzy clustering algorithms, Applied Soft Computing 58, 605-619

17.    C Cruz, RC Silva, JL Verdegay, A Yamakami (2008). A survey of fuzzy quadratic programming. Recent Patent on Computer Science, Volume 1, Number 3, 2008, pp. 182-193(12)

18.    P Novoa-Hernández, C Cruz Corona, DA Pelta (2015). A software tool for assisting experimentation in dynamic environments, Applied Computational Intelligence and Soft Computing, vol. 2015, Article ID 302172, 12 pages.

19.    F Frutos-Morales, MM Sanchez-Vera, D Castellanos-Nieves, A Esteban-Gil, C Cruz-Corona, MP Prendes-Espinosa, JT Fernandez-Breis (). An extension of the OeLE platform for generating semantic feedback for students and teachers, Procedia-Social and Behavioral Sciences 2 (2), 527-531

20.    YF Perez, C Cruz, JL Verdegay (2018). A new model based on soft computing for evaluation and selection of software products. IEEE Latin America Transactions 16 (4), 1186-1192

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Last Updated: 2020/08/25

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