D. F. Zambrano-Gutierrez, G. H. Valencia-Rivera, J. G. Avina-Cervantes, I. Amaya, and J. M. Cruz-Duarte, Designing Heuristic-Based Tuners for Fractional-Order PID Controllers in Automatic Voltage Regulator Systems Using a Hyper-heuristic Approach, Fractal Fract, 2024. (DOI) (opens in a new tab)
G. Gonzalez-Sahagun, S. E. Conant-Pablos, J. C. Ortiz-Bayliss, and J. M. Cruz-Duarte, A Generalist Reinforcement Learning Agent for Compressing Convolutional Neural Networks, IEEE Access, 2024 (DOI) (opens in a new tab)
G. H. Valencia-Rivera, M. T. Benavides-Robles, A. Vela Morales, I. Amaya, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, and J. G. Avina-Cervantes, A systematic review of metaheuristic algorithms in electric power systems optimization, Applied Soft Computing, 2024, 150, 111047. (DOI) (opens in a new tab)
M. T. Benavides-Robles, G. H. Valencia-Rivera, J. M. Cruz-Duarte, I. Amaya, and J. C. Ortiz-Bayliss, Robotic Mobile Fulfillment System: a Systematic Review, IEEE Access, 2024. (DOI) (opens in a new tab)
Conferences
D. F. Zambrano-Gutierrez, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, I. Amaya, and J. G. Avina-Cervantes, Beyond Traditional Tuning: Unveiling Metaheuristic Operator Trends in PID Control Tuning for Automatic Voltage Regulation, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024. (Accepted)
G. Pérez-Espinosa, J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, H. Terashima-Marín, and N. Pillay, Tailoring Metaheuristics for Designing Thermodynamic-Optimal Cooling Devices for Microelectronic Thermal Management Applications, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024. (Accepted)
D. Acosta-Ugalde, J. M. Cruz-Duarte, S. E. Conant-Pablos, and J. G. Falcón-Cardona, Beyond 'Novel' Metaphor-based Metaheuristics: An Interactive Algorithm Design Software, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024. (Accepted)
G. J. Machado-Guillén, J. M. Cruz-Duarte, S. E. Conant-Pablos, and K. Filus, Harnessing Machine Learning for Reliable Weather Forecasting: Meteorological Impact on Sustainable Energy in Monterrey, 2024 IEEE Congress on Evolutionary Computation (CEC), 2024. (Accepted)
E. Bernal-Zubieta, J. G. Falcón-Cardona, and J. M. Cruz-Duarte, DeepEMO: A Multi-Indicator Convolutional Neural Network-based Evolutionary Multi-Objective Algorithm, EvoStar, Aberystwyth, Wales, UK, 2024. (DOI) (opens in a new tab)
2023
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
C. A. 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) (opens in a new tab)
Conferences
D. F. Zambrano-Gutierrez, A. C. Molina-Porras, J. G. Avina-Cervantes, R. Correa, and J. M. Cruz-Duarte, Designing Heuristic-Based Tuners for PID Controllers in Automatic Voltage Regulator Systems Using an Automated Hyper-Heuristic Approach, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023, pp. 1263-1268. (DOI) (opens in a new tab)
D. F. Zambrano-Gutierrez, A. C. Molina-Porras, E. Ovalle-Magallanes, I. Amaya, J. C. Ortiz-Bayliss, J. G. Avina-Cervantes, and J. M. Cruz-Duarte, SIGNRL: A Population-Based Reinforcement Learning Method for Continuous Control, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023, pp. 1443-1448. (DOI) (opens in a new tab)
M. T. Benavides-Robles, J. M. Cruz-Duarte, J. C. Ortiz-Bayliss, and I. Amaya, On the Feasibility of Using a High-Level Solver within Robotic Mobile Fulfillment Systems, 2023 IEEE Symposium Series on Computational Intelligence (SSCI), Mexico City, Mexico, 2023, pp. 1274-1279. (DOI) (opens in a new tab)
M. T. Benavides-Robles, J. M. Cruz-Duarte, I. Amaya, and J. C. Ortiz-Bayliss, On the Feasibility of using Neural Networks as High-level solvers for the Pod Allocation Problem within Robotic Mobile Fulfillment Systems, International Conference on Soft Computing & Machine Intelligence (ISCMI), 2023. (DOI) (opens in a new tab)
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. (DOI) (opens in a new tab)
D. F. Zambrano-Gutierrez, J. M. Cruz-Duarte, and 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) (opens in a new tab)
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. (DOI) (opens in a new tab)
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. (DOI) (opens in a new tab)
Other Fora
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) (opens in a new tab)
2022
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab).
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) (opens in a new tab)
Conferences
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
2021
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
J. M. Cruz-Duarte, I. Amaya, J. C. Ortiz-Bayliss, S. E. Conant-Pablos, H. Terashima-Marín, and Y. Shi. Hyper-Heuristics to Customise Metaheuristics for Continuous Optimisation, Swarm and Evolutionary Computation, 100935. (DOI) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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, p. 119440, 2021. (DOI) (opens in a new tab)
Conferences
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) (opens in a new tab).
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) (opens in a new tab)
2020
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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, 2020. (DOI) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
Conferences
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
Other Fora
J. M. Cruz-Duarte I. Amaya, and J. Carlos Ortiz-Bayliss, Una mirada a las hiper-heurísticas, Transferencia Tec, 2020 (URL) (opens in a new tab).
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) (opens in a new tab)
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) (opens in a new tab)
2019
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
Conferences
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) (opens in a new tab)
Other Fora
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) (opens in a new tab)
2018
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
Conferences
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) (opens in a new tab)
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) (opens in a new tab)
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. (URI) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
Other Fora
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) (opens in a new tab)
2017
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
Conferences
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) (opens in a new tab)
2016
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
2015
JCR Indexed Journals
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) (opens in a new tab)
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) (opens in a new tab)
Conferences
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) (opens in a new tab)
Other Fora
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
2014-2011
Conferences
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) (opens in a new tab)
Other Fora
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. (URL) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)
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) (opens in a new tab)