- Morales-Castañeda, B., Zaldívar, D., Cuevas, E., Rodríguez, A., Navarro, M.A. (2021). Population management in metaheuristic algorithms: Could less be more?. Applied Soft Computing. 107, 107389
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- Rodríguez, A., Camarena, O., Cuevas, E., ...Zaldívar, D., Pérez-Cisneros, M. (2021). Group-based synchronous-asynchronous Grey Wolf Optimizer. Applied Mathematical Modelling.93, pp. 226–243
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- Maciel, O., Cuevas, E., Navarro, M. A., Zaldívar, D., & Hinojosa, S. (2020). Side-Blotched Lizard Algorithm: A polymorphic population approach. Applied Soft Computing, 88, 106039.
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- Osuna-Enciso, V., Pérez-Cisneros, M., & Zaldívar-Navarro, D. (2020). Micro-Grooved Pipe Design of Parabolic Trough by Metaheuristic Optimization: An Empirical Comparison. Energies, 13(2), 449.
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- Cuevas, E., Rodríguez, A., Valdivia, A., Zaldívar, D., & Pérez, M. (2019). A hybrid evolutionary approach based on the invasive weed optimization and estimation distribution algorithms. Soft Computing, 23(24), 13627-13668.
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- Morales-Castañeda, B., Zaldívar, D., Cuevas, E., Maciel-Castillo, O., Aranguren, I., & Fausto, F. (2019). An improved Simulated Annealing algorithm based on ancient metallurgy techniques. Applied Soft Computing, 84, 105761.
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- Rodríguez, A., Cuevas, E., Zaldivar, D., & Castañeda, L. (2019). Clustering with biological visual models. Physica A: Statistical Mechanics and its Applications, 528, 121505.
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- Maciel, O., Valdivia, A., Oliva, D., Cuevas, E., Zaldívar, D., & Pérez-Cisneros, M. (2019). A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm. Soft Computing, 1-34.
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- Hinojosa, S., Oliva, D., Cuevas, E., Pajares, G., Zaldivar, D., & Pérez-Cisneros, M. Reducing overlapped pixels: a multi-objective color thresholding approach. Soft Computing, 1-21.
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- Zaldivar, D., Cuevas, E., Maciel, O., Valdivia, A., Chavolla, E., & Oliva, D. (2019). Learning classical and metaheuristic optimization techniques by using an educational platform based on LEGO robots. The International Journal of Electrical Engineering & Education, 0020720918822738.
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- Avalos, O., Cuevas Jimenez, E. V., Valdivia-González, A., Gálvez, J., Hinojosa, S., Zaldívar, D., & Oliva, D. (2019). A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. Computación y Sistemas, 23(1), 231.
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- Zaldivar, D., Morales, B., Rodriguez, A., Valdivia-G, A., Cuevas, E., & Perez-Cisneros, M. (2018). A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior. Biosystems, 174, 1-21.
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- Hinojosa, S., Avalos, O., Oliva, D., Cuevas, E., Pajares, G., Zaldivar, D., & Gálvez, J. (2018). Unassisted thresholding based on multi-objective evolutionary algorithms. Knowledge-Based Systems, 159, 221-232.
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- Cuevas, E., Enríquez, L., Zaldívar, D., & Pérez-Cisneros, M. (2018). A selection method for evolutionary algorithms based on the golden section. Expert Systems with Applications, 106, 183-196.
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- Díaz, P., Pérez-Cisneros, M., Cuevas, E., Avalos, O., Gálvez, J., Hinojosa, S., & Zaldivar, D. (2018). An improved crow search algorithm applied to energy problems. Energies, 11(3), 571.
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- Luque-Chang, A., Cuevas, E., Fausto, F., Zaldivar, D., & Pérez, M. (2018). Social spider optimization algorithm: modifications, applications, and perspectives. Mathematical Problems in Engineering, 2018.
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- Cuevas, E., Zaldívar, D., Pajares, G., Perez-Cisneros, M., & Rojas, R. (2013). Computational intelligence in image processing. Mathematical Problems in Engineering, 2013.
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- Cuevas, E., Díaz, P., Avalos, O., Zaldívar, D., & Pérez-Cisneros, M. (2018). Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm. Applied Intelligence, 48(1), 182-203.
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- Cuevas, E., Luque, A., Zaldívar, D., & Pérez-Cisneros, M. (2017). Evolutionary calibration of fractional fuzzy controllers. Applied Intelligence, 47(2), 291-303.
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- Valdivia-González, A., Zaldívar, D., Cuevas, E., Pérez-Cisneros, M., Fausto, F., & González, A. (2017). A chaos-embedded gravitational search algorithm for the identification of electrical parameters of photovoltaic cells. Energies, 10(7), 1052.
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- Valdivia-Gonzalez, A., Zaldívar, D., Fausto, F., Camarena, O., Cuevas, E., & Perez-Cisneros, M. (2017). A states of matter search-based approach for solving the problem of intelligent power allocation in plug-in hybrid electric vehicles. Energies, 10(1), 92.
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- Cuevas, E., Santuario, E., Zaldivar, D., & Perez-Cisneros, M. (2016). An improved evolutionary algorithm for reducing the number of function evaluations. Intelligent Automation & Soft Computing, 22(2), 177-192.
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- Cuevas, E., Zaldívar, D., Pajares, G., Perez-Cisneros, M., & Rojas, R. (2016). Computational Intelligence in Image Processing 2016. Mathematical Problems in Engineering, 2016.
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- Osuna-Enciso, V., Cuevas, E., Oliva, D., Zúñiga, V., Pérez-Cisneros, M., & Zaldívar, D. (2016). A multiobjective approach to homography estimation. Computational intelligence and neuroscience, 2016.
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- Oliva, D., Osuna-Enciso, V., Cuevas, E., Pajares, G., Pérez-Cisneros, M., & Zaldívar, D. (2015). Improving segmentation velocity using an evolutionary method. Expert Systems with Applications, 42(14), 5874-5886.
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- Cuevas, E., González, A., Zaldívar, D., & Pérez-Cisneros, M. (2015). An optimisation algorithm based on the behaviour of locust swarms. International Journal of Bio-Inspired Computation, 7(6), 402-407.
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- Cuevas, E., Zaldívar, D., Pajares, G., Perez-Cisneros, M., & Rojas, R. (2013). Computational intelligence in image processing. Mathematical Problems in Engineering, 2013.
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- Cuevas, E., González, A., Fausto, F., Zaldívar, D., & Pérez-Cisneros, M. (2015). Multithreshold segmentation by using an algorithm based on the behavior of locust swarms. Mathematical Problems in Engineering, 2015.
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- Perez-Cisneros, M., Garcia-Gil, G., Vega-Maldonado, S., Arámburo-Lizárraga, J., Cuevas, E., & Zaldivar, D. (2015). Applying BAT evolutionary optimization to image-based visual servoing. Mathematical Problems in Engineering, 2015.
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- Oliva, D., Cuevas, E., Pajares, G., Zaldivar, D., & Osuna, V. (2014). A multilevel thresholding algorithm using electromagnetism optimization. Neurocomputing, 139, 357-381.
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- Cuevas, E., González, M., Zaldivar, D., & Pérez-Cisneros, M. (2014). Multi-ellipses detection on images inspired by collective animal behavior. Neural Computing and Applications, 24(5), 1019-1033.
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- Oliva, D., Cuevas, E., Pajares, G., & Zaldivar, D. (2014). Template matching using an improved electromagnetism-like algorithm. Applied intelligence, 41(3), 791-807.
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- Cuevas, E., Gálvez, J., Hinojosa, S., Avalos, O., Zaldívar, D., & Pérez-Cisneros, M. (2014). A comparison of evolutionary computation techniques for IIR model identification. Journal of Applied Mathematics, 2014.
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- Cuevas, E., Santuario, E. L., Zaldívar, D., & Perez-Cisneros, M. (2013). Automatic circle detection on images based on an evolutionary algorithm that reduces the number of function evaluations. Mathematical Problems in Engineering, 2013.
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- Cuevas, E., Zaldívar, D., Pajares, G., Perez-Cisneros, M., & Rojas, R. (2013). Computational intelligence in image processing. Mathematical Problems in Engineering, 2013.
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- Oliva, D., Cuevas, E., Pajares, G., Zaldivar, D., Perez-Cisneros, M. Multilevel thresholding segmentation based on harmony search optimization, Journal of Applied Mathematics, 2013 , art. no. 575414.
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- Cuevas, E., Cienfuegos, M., Zaldívar, D., Pérez-Cisneros, M. A swarm optimization algorithm inspired in the behavior of the social-spider, Expert Systems with Applications, 40 (16), (2013), pp. 6374-6384
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- Cuevas, E., Echavarría, A., Zaldívar, D., Pérez-Cisneros, M. A novel evolutionary algorithm inspired by the states of matter for template matching, Expert Systems with Applications, 40 (16) , (2013), pp. 6359-6373.
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- Cuevas, E., Díaz, M., Manzanares, M., Zaldivar, D., Perez-Cisneros, M. An improved computer vision method for white blood cells detection, Computational and Mathematical Methods in Medicine, 2013 , art. no. 137392.
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- Cuevas, E., Zaldívar, D., Pérez-Cisneros, M. A swarm optimization algorithm for multimodal functions and its application in multicircle detection, Mathematical Problems in Engineering, 2013 , art. no. 948303.
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- Zaldivar, D., Cuevas, E., Pérez-Cisneros, M., Sossa, J., Rodríguez, J., Palafox, E. An educational fuzzy-based control platform using LEGO robots, International Journal of Electrical Engineering Education, 50 (2), (2013), pp. 157-171
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- Cuevas, E., Oliva, D., Díaz, M., Zaldivar, D., Pérez-Cisneros, M., Pajares, G. White blood cell segmentation by circle detection using electromagnetism-like optimization, Computational and Mathematical Methods in Medicine 2013 , art. no. 395071.
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- Cuevas, E., González, M., Zaldívar, D., Pérez-Cisneros, M. Multi-ellipses detection on images inspired by collective animal behaviour, Neural Computing and Applications, 24(5), (2014), 1019-1033.
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- Cuevas, E., Zaldívar, D., Pérez-Cisneros, M., Oliva, D. Block-matching algorithm based on differential evolution for motion estimation, Engineering Applications of Artificial Intelligence, 26 (1) , (2013), pp. 488-498
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- Cuevas, E., Zaldívar, D., Pérez-Cisneros, M., Sossa, H., Osuna, V. Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC), Applied Soft Computing Journal 13 (6), (2013), pp. 3047-3059.
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- Cuevas, E., Ortega-Sánchez, N., Zaldivar, D., Pérez-Cisneros, M. Circle detection by Harmony Search Optimization, Journal of Intelligent and Robotic Systems: Theory and Applications 66 (3), (2013), pp. 359-376.
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- Cuevas E., Santuario E., Zaldívar D., Perez-Cisneros M. Automatic Circle Detection on Images Based on an Evolutionary Algorithm That Reduces the Number of Function Evaluations, Mathematical Problems in Engineering, 2013, Article ID 868434, 17 pages.
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- Erik Cuevas, Daniel Zaldívar, Gonzalo Pajares, Marco Perez-Cisneros, and Raul Rojas. Computational Intelligence in Image Processing, Mathematical Problems in Engineering, Volume 2013 (2013), Article ID 530404, 3 pages.
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- Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentín Osuna. A Multilevel Thresholding algorithm using electromagnetism optimization, Neurocomputing, 139, (2014), 357-381.
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- Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar. Template Matching using an improved Electromagnetism-Like algorithm, Applied Intelligence, Volume 41, Issue 3, (2014) pp 791-807.
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- Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Avalos, Daniel Zaldívar and Marco Pérez-Cisneros. A Comparison of Evolutionary Computation Techniques for IIR Model Identification, Journal of Applied Mathematics, Volume 2014 (2014), Article ID 827206, 8 pages, http://dx.doi.org/10.1155/2014/827206.
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- Diego Oliva, Valentín Osuna-Enciso, Erik Cuevas, Daniel Zaldivar, Marco Perez, Improving segmentation velocity using an evolutionary method, Expert Systems With Applications, 42(14), (2015), 5874–5886.
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- Erik Cuevas, Adrián González, Daniel Zaldívar and Marco Pérez-Cisneros, An optimisation algorithm based on the behaviour of locust swarms, International Journal of Bio-Inspired Computation, (2015), Vol.7, No.6, pp.402 - 407.
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- Marco Perez-Cisneros, Gerardo Garcia-Gil, Sabrina Vega-Maldonado, J. Arámburo-Lizárraga, Erik Cuevas, and Daniel Zaldivar, “Applying BAT Evolutionary Optimization to Image-Based Visual Servoing,” Mathematical Problems in Engineering, vol. 2015, Article ID 590138, 11 pages, 2015. doi:10.1155/2015/590138.
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- Erik Cuevas, Adrián González, Fernando Fausto, Daniel Zaldívar, and Marco Pérez-Cisneros, “Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms,” Mathematical Problems in Engineering, vol. 2015, Article ID 805357, 25 pages, 2015. doi:10.1155/2015/805357.
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- Valentin Osuna-Enciso, Erik Cuevas, Diego Oliva, Virgilio Zúñiga, Marco Perez-Cisneros, and Daniel Zaldivar, Computational Intelligence and Neuroscience, Volume 2016, Article ID 3629174, 12 pages.
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- Erik Cuevas, Eduardo Santuario, Daniel Zaldivar & Marco Perez-Cisneros, An Improved Evolutionary Algorithm for Reducing the Number of Function Evaluations, Intelligent Automation Soft Computing, (2015), Volume 22, Issue 2.
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- Erik Cuevas, Daniel Zaldívar, Gonzalo Pajares, Marco Perez-Cisneros, and Raúl Rojas, Computational Intelligence in Image Processing 2014, Mathematical Problems in Engineering, vol. 2015, Article ID 782826, 3 pages, 2015. doi:10.1155/2015/782826.
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- Erik Cuevas, Daniel Zaldívar, Gonzalo Pajares, Marco Perez-Cisneros, and Raúl Rojas, Computational Intelligence in Image Processing 2016, Mathematical Problems in Engineering. Volume 2016 (2016), Article ID 5680246.
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- Cuevas, E., Luque, A., Zaldívar, D., Pérez-Cisneros, M., Evolutionary calibration of fractional fuzzy controllers, Applied Intelligence, In press. (2017).
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- Arturo Valdivia-Gonzalez, Daniel Zaldívar, Fernando Fausto, Octavio Camarena, Erik Cuevas and Marco Perez-Cisneros, A States of Matter Search-Based Approach for Solving the Problem of Intelligent Power Allocation in Plug-in Hybrid Electric Vehicles, Energies 2017, 10(1), 27. Arturo Valdivia-González *, Daniel Zaldívar, Erik Cuevas, Marco Pérez-Cisneros, Fernando Fausto * and Adrián González, A Chaos-Embedded Gravitational Search Algorithm for the Identification of Electrical Parameters of Photovoltaic Cells, Energies 2017, 10, 1052; doi:10.3390/en10071052.
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- Valentín Osuna-Enciso, Erik Cuevas,2 Diego Oliva, Virgilio Zúñiga, Marco Pérez-Cisneros,1 and Daniel Zaldívar, A Multiobjective Approach to Homography Estimation, Hindawi Publishing Corporation Computational Intelligence and Neuroscience, Volume 2016, Article ID 3629174, 12 pages http://dx.doi.org/10.1155/2016/3629174
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