Jorge M. Cruz-Duarte (b. 1990 Colombia) is a Research Professor (since 2021) in the Research Group on Advanced Artificial Intelligence at the Tecnológico de Monterrey (TEC). He is a Level I member of the CONACHyT Mexican National System of Researchers, IEEE Senior Member, member of the Mexican Mathematical Society (SMM), and member of the Mexican Academy in Computer Sciences (AMEXCOMP). Jorge is also a reviewer of several scientific journals, e.g., Applied Soft Computing, Swarm Evolutionary and Computation, Applied Thermal Engineering, IEEE Access, and Mathematical Reviews.

Jorge received his B.Sc. and M.Sc. degrees in Electronic Engineering from the Universidad Industrial de Santander (UIS) and his Ph.D. in Electrical Engineering from the Universidad de Guanajuato (UGto). He was in a Short Research Stay at the University POLITEHNICA of Bucharest (UPB). From 2019 to 2021, he was on a Postdoctoral Stay at the Research Group with Strategic Focus on Intelligent Systems at the Tecnológico de Monterrey (TEC) in collaboration with the Chinese Academy of Sciences (CAS) for the Integration of Data Science and Optimisation.

2023

JCR Indexed Journals

1. D. F. Zambrano-Gutierrez, J. M. Cruz-Duarte, J. G. Avina-Cervantes, J. C. Ortiz-Bayliss, J. J. Yanez-Borjas, and I. Amaya, Automatic Design of Metaheuristics for Practical Engineering Applications, IEEE Access., vol. 11, pp. 7262-7276, 2023. (DOI)
2. D. Rodríguez, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, and I. Amaya, A Sequence-Based Hyper-Heuristic for Traveling Thieves, Appl. Sci. 2023, 13, 56. (DOI)
3. C. Alejandro Pozo-Luyo, J. M. Cruz-Duarte, I. Amaya, and J. C. Ortiz-Bayliss, Forecasting PM2.5 concentration levels using shallow machine learning models on the Monterrey Metropolitan Area in Mexico, Atmospheric Pollution Research, 101898, 2023. (DOI)

Conferences

1. R. Correa, I. Amaya, J. M. Cruz-Duarte, Microwave Heating of a Three Phases Spherical System with their Thermal Properties and Microwave Volumetric Flow as a Function of Temperature, Position, and Time, in Proceedings of the 17th International Heat Transfer Conference (IHTC-17), 14 - 18 August 2023, Cape Town, South Africa, 2023. [Accepted]
2. D. Zambrano-Gutierrez, J. M. Cruz-Duarte, H. Castañeda, Automatic Hyper-Heuristic to Generate Heuristic-based Adaptive Sliding Mode Controller Tuners for Buck-Boost Converters, in The Genetic and Evolutionary Computation Conference (GECCO), 2023, pp. 1-8. Nominated to Best Paper Award (DOI)
3. A. Vela, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, and I. Amaya, Recursive Hyper-heuristics for the Job Shop Scheduling Problem, in 2023 IEEE Congress on Evolutionary Computation (CEC), 2023, pp. 1-8. [Accepted]
4. G. H. Valencia-Rivera, J. C. Ortiz-Bayliss, J. M. Cruz-Duarte, J. G. Avina-Cervantes, and I. Amaya, Hyper-heuristics meet Controller Design: Improving Electrical Grid Performance through Microgrids, in 2023 IEEE Congress on Evolutionary Computation (CEC), 2023, pp. 1-8. [Accepted]

Other Fora

1. J. M. Cruz-Duarte and P. Toledo-Hernández, Fractional Calculus in Mexico: The 5th Mexican Workshop on Fractional Calculus (MWFC), Comput. Sci. Math. Forum 2022, 4, 7. (DOI)

2022

JCR Indexed Journals

1. J. M. Cruz-Duarte, J. G. Avina-Cervantes, and R. Correa, An Efficient Computational Method for Anisotropic Thermal Conductivity Estimation, Journal of Thermal Analysis and Calorimetry, 2022. (DOI)
2. A. K. Gárate-Escamilla, I. Amaya, J. M. Cruz-Duarte , H. Terashima-Marín, and J. C. Ortiz-Bayliss, Identifying Hyper-Heuristic Trends through a Text Mining Approach on the Current Literature, Applied Sciences, 2022; 12(20):10576. (DOI)
3. A. Vela, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, and I. Amaya, Beyond Hyper-Heuristics: A Squared Hyper-Heuristic model for solving Job Shop Scheduling Problems, IEEE Access, doi: (DOI).
4. J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, and I. Amaya, MatHH: A Matlab-based Hyper-Heuristic framework, SoftwareX, vol. 18, p. 101047, 2022. (DOI)

Conferences

1. D. F. Zambrano-Gutierrez, J. M. Cruz-Duarte, G. H. Valencia-Rivera, I. Amaya, and J. G. Avina-Cervantes, Dynamic Analysis for the Physically Correct Model of a Fractional-Order Buck-Boost Converter, Comput. Sci. Math. Forum 2022, 4, 2, 2022. (DOI)
2. J. M. Tapia-Avitia, J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marin, and N. Pillay, A Primary Study on Hyper-Heuristics Powered by Artificial Neural Networks for Customising Population-based Metaheuristics in Continuous Optimisation Problems, in 2022 IEEE Congress on Evolutionary Computation (CEC), 2022, pp. 1-8. (DOI)
3. J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, and N. Pillay, A Transfer Learning Hyper-heuristic Approach for Automatic Tailoring of Unfolded Population-based Metaheuristics, in 2022 IEEE Congress on Evolutionary Computation (CEC), 2022, pp. 1-8. (DOI)

2021

JCR Indexed Journals

1. T. Mwata-Velu, J. G. Avina-Cervantes, J. M. Cruz-Duarte, H. Rostro-Gonzalez, and J. Ruiz-Pinales, Imaginary Finger Movements Decoding Using Empirical Mode Decomposition and a Stacked BiLSTM Architecture, Mathematics 2021, 9, 3297. (DOI)
2. X. Sánchez-Díaz, J.C. Ortiz-Bayliss, I. Amaya, J.M. Cruz-Duarte, S.E. Conant-Pablos, and H. Terashima-Marín. A Feature-Independent Hyper-Heuristic Approach for Solving the Knapsack Problem. Appl. Sci. 2021, 11, 10209. (DOI)
3. G. H. Valencia-Rivera, I. Amaya, J. M. Cruz-Duarte, J. C. Ortíz-Bayliss, and J. G. Avina-Cervantes. (2021). Hybrid Controller Based on LQR Applied to Interleaved Boost Converter and Microgrids under Power Quality Events. Energies, 14(21), 6909. (DOI)
4. M. Sanchez, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, and I. Amaya. (2021). Sequence-based Selection Hyper-heuristic Model via MAP-Elites. IEEE Access, 9, 28. (DOI)
5. J. Munoz-Minjares, O. Vite-Chavez, J. Flores-Troncoso, and J.M. Cruz-Duarte (2021). Alternative thresholding technique for image segmentation based on cuckoo search and generalized gaussians. Mathematics, 9(18), 1–19. (DOI)
6. J. M. Cruz-Duarte, J. G. Avina-Cervantes, A. Garcia-Perez, J. A. Andrade-Lucio, R. Correa, and A. M. Morega, Novel Calorimetric Approach for Thermal Analysis of Microelectronic Devices, in IEEE Transactions on Components, Packaging and Manufacturing Technology. (DOI)
7. J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, S. E. Conant-Pablos, H. Terashima-Marín, H., and Y. Shi. Hyper-Heuristics to Customise Metaheuristics for Continuous Optimisation, Swarm and Evolutionary Computation, 100935. (DOI)
8. J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, I. Amaya, and N. Pillay, Global Optimisation through Hyper-Heuristics: Unfolding Population-Based Metaheuristics, Appl. Sci., vol. 11, no. 12, p. 5620, 2021. (DOI)
9. D. Matajira-Rueda, J. M. Cruz-Duarte, J. G. Avina-Cervantes, M. A. Ibarra-Manzano, and R. Correa, Optimization-based strategies for optimal inverse parameters estimation for heat transfer systems, IEEE Access. (DOI)
10. A. Vela, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, and I. Amaya, Tailoring Job Shop Scheduling Problem Instances through Unified Particle Swarm Optimization, IEEE Access, Apr. 2021. (DOI)
11. L. Martínez Jiménez, J. M. Cruz-Duarte, J. E. Escalante-Martínez, and J. J. Rosales-García, Analytical and experimental study for mechanical vibrations of a two-coupled spring masses system via Caputo-based derivatives, Math. Methods Appl. Sci., no. March, p. mma.7421, Apr. 2021. (DOI)
12. J. C. Ortiz-Bayliss, I. Amaya, J. M. Cruz-Duarte, S. E. Conant-Pablos, H. Terashima-Marín, and A. E. Gutierrez-Rodriguez, A General Framework Based on Machine Learning for Algorithm Selection in Constraint Satisfaction Problems, Appl. Sci., vol. 11, no. 6, p. 2749, 2021. (URL)
13. T. Mwata-Velu, J. Ruiz-Pinales, H. Rostro-Gonzalez, M. A. Ibarra-Manzano, J. M. Cruz-Duarte, and J. G. Avina-Cervantes, Motor Imagery Classification Based on a Recurrent-Convolutional Architecture to Control a Hexapod Robot, Mathematics, vol. 9, no. 1, p. 606, March. 2021. (URL)
14. J. M. Cruz-Duarte, I. Amaya, J. C. Ortíz-Bayliss, and R. Correa, Solving microelectronic thermal management problems using a generalized spiral optimization algorithm, Applied Intelligence, Jan. 2021. (DOI)

Conferences

1. J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss and N. Pillay, Naïve Hyper-heuristic Online Learning to Generate Unfolded Population-based Metaheuristics to Solve Continuous Optimization Problems, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021, pp. 1-8, (DOI).
2. J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, and N. Pillay. Automated Design of Unfolded Metaheuristics and the Effect of Population Size. 2021 IEEE Congress on Evolutionary Computation (CEC), 1155–1162, 2021. (DOI)

2020

JCR Indexed Journals

1. J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, I. Amaya, Y. Shi, H. Terashima-Marín, and N. Pillay, Towards a Generalised Metaheuristic Model for Continuous Optimisation Problems, Mathematics, vol. 8, no. 11, p. 2046, Nov. 2020. (DOI)
2. J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marín, and Y. Shi, CUSTOMHyS: Customising Optimisation Metaheuristics via Hyper-heuristic Search, SoftwareX, vol. 12, p. 100628, 2020. (URL)
3. J. M. Cruz‐Duarte, M. Guía‐Calderón, J. J. Rosales‐García, and R. Correa, Determination of a physically correct fractional-order model for electrolytic computer-grade capacitors, Math. Methods Appl. Sci., no. November, p. mma.7037, Nov. 2020. (DOI)
4. M. Roa, J. M. Cruz-Duarte, and R. Correa, Study of an asphaltene electrodeposition strategy for Colombian extra-heavy crude oils boosted by the simultaneous effects of an external magnetic field and ferromagnetic composites, Fuel, no. October, p. 119440, Oct. 2020. (DOI)
5. M. Sanchez, J.M. Cruz-Duarte, J.C. Ortiz-Bayliss, H. Ceballos, H. Terashima-Marin, and I. Amaya, A Systematic Review of Hyper-Heuristics on Combinatorial Optimization Problems, IEEE Access, vol. 8, pp. 128068–128095. (DOI)
6. M.D.J. Estudillo-Ayala, H. Aguirre-Ramos, J. G. Avina-Cervantes, J. M. Cruz-Duarte, I. Cruz-Aceves, and J. Ruiz-Pinales, Algorithmic Analysis of Vesselness and Blobness for Detecting Retinopathies Based on Fractional Gaussian Filters, Mathematics, vol. 8, no. 744, p. 19. (DOI)
7. J. M. Cruz-Duarte, I. Amaya, and R. Correa, Analysis of the Effect of the Orthotropic Thermal Conductivity Tensor During Microwave-Based Heat Treatment of a Core-Shell Spherical System, International Journal of Thermophysics, Springer US, vol. 41, no. 6, p. 82. (DOI)
8. J. M. Cruz-Duarte, J. J. Rosales-García, and C. R. Correa-Cely, Entropy Generation in a Mass-Spring-Damper System Using a Conformable Model, Symmetry, vol. 12, no. 3, p. 395. (DOI)
9. E. Lara-Cárdenas, X. Sánchez-Díaz, I. Amaya, J. M. Cruz-Duarte, and J. C. Ortiz-Bayliss, _A Genetic Programming Framework for Heuristic Generation for the Job-Shop Scheduling Problem**, in Advances in Soft Computing, L. Martínez-Villaseñor, O. Herrera-Alcántara, H. Ponce, and F. A. Castro-Espinoza, Eds. Cham: Springer International Publishing, 2020, pp. 284–295. (DOI)

Conferences

1. J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, S. E. Conant-Pablos, and H. Terashima-Marin, A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation, in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8. (DOI)
2. F. Garza-Santisteban, I. Amaya, J. Cruz-Duarte, J. C. Ortiz-Bayliss, E. Özcan, and H. Terashima-Marin, Exploring Problem State Transformations to Enhance Hyper-heuristics for the Job-Shop Scheduling Problem, in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8. (DOI)
3. X. F. C. Sanchez-Diaz, J. C. Ortiz-Bayliss, I. Amaya, J. M. Cruz-Duarte, S. E. Conant-Pablos, and H. Terashima-Marin, A Preliminary Study on Feature-independent Hyper-heuristics for the 0/1 Knapsack Problem, in 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–8. (DOI)
4. A. Silva-Gálvez, E. Lara-Cárdenas, I. Amaya, J. M. Cruz-Duarte, and J. C. Ortiz-Bayliss, A Preliminary Study on Score-Based Hyper-heuristics for Solving the Bin Packing Problem, in 2020 Mexican Conference on Pattern Recognition, 2020, vol. 12088, pp. 318–327. (DOI)
5. E. Lara-Cárdenas, A. Silva-Gálvez, J. C. Ortiz-Bayliss, I. Amaya, J. M. Cruz-Duarte, and H. Terashima-Marín, Exploring Reward-based Hyper-heuristics for the Job-shop Scheduling Problem, in 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, ACT, Australia, 2020, pp. 3133-3140. (DOI)
6. A. Silva-Galvez, J. Orozco-Sanchez, E. Lara-Cardenas, J. C. Ortiz-Bayliss, I. Amaya, J. M. Cruz-Duarte, and H. Terashima-Marin, Discovering Action Regions for Solving the Bin Packing Problem through Hyper-heuristics, in 2020 IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, ACT, Australia, 2020, pp. 822-828. (DOI)

Other Fora

1. J. M. Cruz-Duarte I. Amaya, and J. Carlos Ortiz-Bayliss, Una mirada a las hiper-heurísticas, Transferencia Tec, 2020 (URL).
2. M. Muñoz-Neira, J. M. Cruz-Duarte, and R. Correa, Calentamiento simultáneo microondas-radiación térmica Simultaneous heating microwaves-thermal radiation, Rev. UIS Ing., vol. 19, no. 2, pp. 33–41, 2020. (DOI)
3. J. D. Bastidas-Rodriguez, J. M. Cruz-Duarte, and C. R. Correa-Cely, Solution of Series-Parallel Photovoltaic Arrays Model Using Global Optimization Algorithms, Scientia et Technica, 25(01), pp. 14-22, 2020. (URL)

2019

JCR Indexed Journals

1. H. Aguirre-Ramos, J. G. Avina-Cervantes, E. Ilunga-Mbuyamba, J. M. Cruz-Duarte, I. Cruz-Aceves, and E. Gallegos-Arellano, Conic sections fitting in disperse data using Differential Evolution, Appl. Soft Comput., vol. 85, p. 105769, Dec. 2019. (DOI)
2. J. D. Bastidas-Rodríguez, J. M. Cruz-Duarte, and R. Correa, Mismatched Series–Parallel Photovoltaic Generator Modeling: An Implicit Current–Voltage Approach, IEEE J. Photovoltaics, vol. 8, no. 2, pp. 1–8, Apr. 2019. (DOI)
3. A. Ortega, J. J. Rosales, J. M. Cruz-Duarte, and M. Guía, Fractional model of the dielectric dispersion, Optik (Stuttg)., vol. 180, pp. 754–759, Feb. 2019. (DOI)
4. N. Murcia-Sepúlveda, J. M. Cruz-Duarte, I. Martin-Diaz, A. Garcia-Perez, J. J. Rosales-García, J. G. Avina-Cervantes, and C. R. Correa-Cely, Fractional Calculus-Based Processing for Feature Extraction in Harmonic-Polluted Fault Monitoring Systems, Energies, vol. 12, no. 19, p. 3736, Sep. 2019. (DOI)
5. L. Martínez–Jiménez, J. M. Cruz–Duarte, and J. J. Rosales–García, Fractional solution of the catenary curve, Math. Methods Appl. Sci., p. mma.5608, Mar. 2019. (DOI)

Conferences

1. F. Garza-Santisteban, J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, S. Enrique Conant-Pablos, and H. Terashima-Marín, Influence of Instance Size on Selection Hyper-Heuristics for Job Shop Scheduling Problems, in 2019 IEEE Symposium Series on Computational Intelligence (SSCI), Xiamen, China, 2019, pp. 1708-1715. (DOI)

Other Fora

1. K. Guerra, J. M. Cruz-duarte, and R. Correa, Methodology to solve Mass-Spring-Dashpot (MSD) models through global optimization algorithms, Rev. UIS Ing., vol. 18, no. 1, pp. 49–60, 2019. (DOI)

2018

JCR Indexed Journals

1. A. O. Contreras, J. Juan Rosales García, L. M. Jiménez, and J. M. Cruz-Duarte, Analysis of projectile motion in view of conformable derivative, Open Phys., vol. 16, no. 1, pp. 581–587, Oct. 2018. (DOI)
2. J. M. Cruz-Duarte, J. Rosales-Garcia, C. R. Correa-Cely, A. Garcia-Perez, and J. G. Avina-Cervantes, A closed form expression for the Gaussian–based Caputo–Fabrizio fractional derivative for signal processing applications, Commun. Nonlinear Sci. Numer. Simul., vol. 61, pp. 138–148, 2018. (DOI)

Conferences

1. D. Matajira-Rueda, J. M. Cruz-Duarte, A. Garcia-Perez, J. G. Avina-Cervantes, and C. R. Correa-Cely, A New Improvement Scheme Of Spiral Algorithm (Performance Test), in 2018 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2018, no. Ropec, pp. 1–6. (DOI)
2. J. M. Cruz-Duarte, A. Garcia-Perez, I. Amaya-Contreras, and R. Correa, Assessing Film Coefficients of Microchannel Heat Sinks Through the Cuckoo Search Algorithm, in 7th International Conference on Metaheuristics and Nature Inspired Computing META'18, 2018, pp. 54–61. (URL)
3. J. M. Cruz-Duarte, I. Martín-Díaz, and I. Cruz-Aceves, Cuckoo Search y su implementación práctica, in Memorias de la Escuela de Cómputo Evolutivo, vol. 1, no. 1, C. Segura González, S. Botello Rionda, A. Hernández Aguirre, S. I. Valdez Peña, M. A. Ibarra Manzano, J. G. Aviña Cervantes, I. Cruz Aceves, and F. Cervantes Sánchez, Eds. Guanajuato, 2018, pp. 12:1-12:8.
4. L. Martínez-Jiménez, J. M. Cruz-Duarte, J. J. Rosales, and I. Cruz-Aceves, Enhancement of Vessels in Coronary Angiograms Using a Hessian Matrix Based on Grünwald-Letnikov Fractional Derivative, in Proceedings of the 2018 8th International Conference on Biomedical Engineering and Technology-ICBET'18, 2018, pp. 51–54. (DOI)
5. J. M. Minjares, Y. Shmaliy, M. L. Ramirez, and J. M. C. Duarte, Identifying Outliers in HRV-Seizure Signals using p-shift UFIR Baseline Estimates, WSEAS Trans. Signal Process., vol. 14, no. June, pp. 109–114, 2018. (URL)

Other Fora

1. D. Matajira-Rueda, J. Cruz-Duarte, J. Avina-Cervantes, and C. Correa-Cely, Global optimization algorithms applied in a parameter estimation strategy, Rev. UIS Ing., vol. 17, no. 1, pp. 233–242, 2018. (URL)

2017

JCR Indexed Journals

1. J. M. Cruz-Duarte, A. M. Morega, A. Garcia-Perez, and C. R. Correa-Cely, Numerical Simulation of Heat Transfer Process in a Non-Conventional Calorimeter, Rev. Roum. Sci. Techn.-Électrotechn. Énerg., vol. 62, no. 4, pp. 424–430, 2017. (URL)
2. J. M. Cruz-Duarte, A. Garcia-Perez, I. M. Amaya-Contreras, C. R. Correa-Cely, R. J. Romero-Troncoso, and J. G. Avina-Cervantes, Design of Microelectronic Cooling Systems Using a Thermodynamic Optimization Strategy Based on Cuckoo Search, IEEE Trans. Components, Packag. Manuf. Technol., vol. 7, no. 11, pp. 1804–1812, Nov. 2017. (DOI)
3. Y. Lopez-Dieguez, J. M. Estudillo-Ayala, D. Jauregui-Vazquez, J. M. Sierra-Hernandez, L. A. Herrera-Piad, J. M. Cruz-Duarte, J. C. Hernandez-Garcia, and R. Rojas-Laguna, Multi-mode all Fiber Interferometer based on Fabry-Perot Multi-cavity and its Temperature Response, Optik (Stuttg)., vol. 147, pp. 232–239, Oct. 2017. (DOI)

Conferences

1. J. M. Cruz-Duarte, I. Martin-Diaz, J. U. Munoz-Minjares, L. A. Sanchez-Galindo, J. G. Avina-Cervantes, A. Garcia-Perez, and C. R. Correa-Cely, Primary study on the stochastic spiral optimization algorithm, in 2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC), 2017, no. Ropec, pp. 1–6. (DOI)

2016

JCR Indexed Journals

1. E. Ilunga-Mbuyamba, J. M. Cruz-Duarte, J. G. Avina-Cervantes, C. R. Correa-Cely, D. Lindner, and C. Chalopin, Active contours driven by Cuckoo Search strategy for brain tumour images segmentation, Expert Syst. Appl., vol. 56, pp. 59–68, Sep. 2016. (DOI)
2. J. M. Cruz-Duarte, A. Garcia-Perez, I. M. Amaya-Contreras, and C. R. Correa-Cely, Designing a microchannel heat sink with colloidal coolants through the entropy generation minimisation criterion and global optimisation algorithms, Appl. Therm. Eng., vol. 100, pp. 1052–1062, May 2016. (DOI)

2015

JCR Indexed Journals

1. J. Cruz, I. Amaya, and R. Correa, Optimal rectangular microchannel design, using simulated annealing, unified particle swarm and spiral algorithms, in the presence of spreading resistance, Appl. Therm. Eng., vol. 84, pp. 126–137, Jun. 2015. (DOI)
2. I. Amaya, J. Cruz, and R. Correa, Harmony Search algorithm: a variant with Self-regulated Fretwidth, Appl. Math. Comput., vol. 266, pp. 1127–1152, Sep. 2015. (DOI)

Conferences

1. J. M. Cruz-Duarte, J. G. Avina-Cervantes, I. M. Amaya-Contreras, and C. R. Correa-Cely, Design of an Optimal Heat Sink for Microelectronic Devices Using Entropy Generation Minimization, in 2015 Fourteenth Mex. Int. Conf. Artif. Intell. (MICAI), pp. 231–235, 2015. (DOI)

Other Fora

1. J. Cruz, I. Amaya, and R. Correa, Cooling microelectronic devices using optimal microchannel heat sinks, Rev. EIA, vol. 12, no. 24, pp. 151–166, 2015. (URL)
2. J. M. Cruz-Duarte, I. M. Amaya-Contreras, and C. R. Correa-Cely, An optimal high thermal conductive graphite microchannel for electronic device cooling, Rev. Fac. Ing. Univ. Antioquia, no. 77, pp. 143–152, 2015. (DOI)
3. J. M. Cruz, I. M. Amaya, and C. R. Correa, Influence of moist air in copper heat sinks: Analysis through the entropy generation minimization criterion, Ing. e Investig., vol. 35, no. 3, pp. 44–52, Dec. 2015. (DOI)

2014-2011

Conferences

1. J. Cruz, I. Amaya, and R. Correa, Solution of the mathematical model of a DC nonlinear electronic circuit using an optimization strategy: Application of the original and unified Particle Swarm Metaheuristics, in 2012 IEEE 4th Colombian Workshop on Circuits and Systems (CWCAS), 2012, pp. 1–6. (DOI)

Other Fora

1. I. Amaya, J. Cruz, and R. Correa, A modified firefly-inspired algorithm for global computational optimization, Rev. Dyna, vol. 81, no. 187, pp. 85–90, 2014. (DOI)
2. J. Cruz, I. Amaya, and R. Correa, Algoritmo de optimización para el cálculo de múltiples raíces de sistemas de ecuaciones no lineales, INGECUC, vol. 9, no. 1, pp. 197–208, 2013. (URL)
3. I. Amaya, J. Cruz, and R. Correa, Solution of the Mathematical Model of a Nonlinear Direct Current Circuit Using Particle Swarm Optimization, Rev. Dyna, vol. 79, no. 172, pp. 77–84, 2012. (URL)
4. I. Amaya, J. Cruz, and R. Correa, Real Roots of Nonlinear Systems of Equations Through a Metaheuristic Algorithm, Rev. Dyna, vol. 78, no. 170, pp. 15–23, 2011. (URL)