Publications in international journals

  1. A. M. Anter, A. E. Hassenian, D. Oliva,”An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural”, Expert Systems with Applications, Volume 118 (2019), 340-354, DOI: https://doi.org/10.1016/j.eswa.2018.10.009
  2. A. A. Ewees, M. A. Elaziz, D. Oliva, “Image segmentation via multilevel thresholding using hybrid optimization algorithms”, Journal of Electronic Imaging, Volume 27(6), 063008, November 2018, DOI: https://doi.org/10.1117/1.JEI.27.6.063008
  3. S. Hinojosa, K. G. Dhal, M. A. Elaziz, D.Oliva, E. Cuevas, “Entropy-based imagery segmentation for breast histology using the stochastic fractal search”, Neurocomputing, Volume 321(2018),201-215, DOI: https://doi.org/10.1016/j.neucom.2018.09.034
  4. R. A. Ibrahim, A. A. Ewees, D. Oliva, M. A. Elaziz, S. Lu, “Improved salp swarm algorithm based on particle swarm optimization for feature selection”, J Ambient Intelligence and Humanized Computing, Available online 11 September 2018, DOI: https://doi.org/10.1007/s12652-018-1031-9
  5. M.A. Diaz-Cortes, N. Ortega-Sanchez, S. Hinojosa, D. Oliva, E. Cuevas, R. Rojas, A. Demin, “A multi-level, thresholding method for breast thermograms analysis using dragonfly algorithm “, Infrared Physics & Technology, Available online 16 August 2018, DOI: https://doi.org/10.1016/j.infrared.2018.08.007
  6. S. Hinojosa, O. Avalos, D. Oliva, E. Cuevas, G. Pajares, D. Zaldivar, J. Galvez, “Unassisted Thresholding based on Multi-Objective Evolutionary Algorithms”, Knowledge-Based Systems, Available online 6 July 2018, DOI: https://doi.org/10.1016/j.knosys.2018.06.028
  7. M. A. Elaziz, D. Oliva, “Parameter estimation of solar cells diode models by an improved opposition-based whale optimization algorithm”, Energy Conversion and Management, Vol. 171, 1 September 2018, Pages 1849-1859, DOI:  https://doi.org/10.1016/j.enconman.2018.05.062
  8. M. Elhoseny, D. Oliva, V. Osuna-Enciso,  A. E. Hassanien, M. Gunasekaran, “Parameter identification of two dimensional digital filters using electro-magnetism optimization”, Multimedia Tools and Applications, Available online 11 May 2018, DOI: https://doi.org/10.1007/s11042-018-6095-1
  9. D. Oliva, S. Hinojosa, M.A. El Aziz, N. Ortega-Sanchez, “Context based image segmentation using antlion optimization and sine cosine algorithm”, Multimedia Tools and Applications, Available online 14 March 2018, DOI: https://doi.org/10.1007/s11042-018-5815-x
  10. R, Boudjemaa, D. Oliva, “A multi-objective approach to weather radar network architecture”, Soft Computing, Available online 14 February 2018, DOI: https://doi.org/10.1007/s00500-018-3072-6
  11. M. Issa,  A. E. Hassanien, D. Oliva, A. Helmi, I. Ziedan, A. Alzohairy, “ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment”, Expert Systems with Applications, Volume 99 (2018), 56-70, DOI:  https://doi.org/10.1016/j.eswa.2018.01.019
  12. J. Gálves, E. Cuevas, O. Avalos, D. Oliva, S. Hinojosa, “Electromagnetism-like mechanism with collective animal behavior for multimodal optimization”, Applied Intelligence, Available online 13 December 2017, DOI: https://doi.org/10.1007/s10489-017-1090-1
  13. S. Hinojosa, D. Oliva, E. Cuevas, G. Pajares, O. Avalos, J. Gálves,”Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm”, Neural Computing and Applications, Available online 26 October 2017, DOI: https://doi.org/10.1007/s00521-017-3251-x
  14. M.A. El Aziz, A. M. Hemdan, A. E. Hassanien, D. Oliva, S. Xiong, “Analysis of bioactive amino acids from fish Hydrolysates with a new bioinformatic intelligent system approach”, Scientific Reports, Nature  (7), Article number: 10860 (2017), DOI: https://doi.org/10.1038/s41598-017-10890-1
  15. D. Oliva, S. Hinojosa, V. Osuna-Enciso, E. Cuevas, M. Pérez-Cisneros, G. Sanchez-Ante, “Image segmentation by minimum cross entropy using evolutionary methods”, Soft Computing, Available online 30 August 2017, DOI: https://doi.org/10.1007/s00500-017-2794-1
  16. M.A. El Aziz, D. Oliva, S. Xiong, “An Improved Opposition-Based Sine Cosine Algorithm for Global Optimization”, Expert Systems with Applications, Available online 15 August 2017, DOI: https://doi.org/10.1016/j.eswa.2017.07.043
  17. D. Oliva, A. A. Ewees, M. A. El Aziz, A. E. Hassanien, M. Pérez-Cisneros, “A Chaotic Improved Artificial Bee Colony for Parameter Estimation of Photovoltaic Cells”, Energies, Volume 10 (7), 865, June 2017. DOI: http://dx.doi.org/10.3390/en10070865
  18. D. Oliva, M. A. El Aziz, A. E. Hassanien. “Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm”, Applied Energy, Volume 200, 15 August 2017, pp 141-154. DOI: https://doi.org/10.1016/j.apenergy.2017.05.029
  19. D. Oliva, S. Hinojosa, E. Cuevas, G. Pajares, O. Avalos, J. Gálvez. “Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm”, Expert Systems with Applications, Vol 79, 15 August 2017, Pages 164-180. DOI: http://dx.doi.org/10.1016/j.eswa.2017.02.042
  20. V. Osuna-Enciso, E. Cuevas, D. Oliva, V. Zúñiga, M. Pérez-Cisneros, and D. Zaldívar, “A multi-objective approach to homography estimation”, Computational Intelligence and Neuroscience, Volume 2016 (2016), Article ID 3629174,. DOI: http://dx.doi.org/10.1155/2016/3629174
  21. V. Osuna-enciso, E. Cuevas, H. Sossa, D. Oliva, and M. Perez-Cisneros. A bio-inspired evolutionary algorithm: allostatic optimisation. Int. J. Bio-Inspired Computation, vol. 8 (3), pp. 158-169, 2016. DOI: http://dx.doi.org/10.1504/IJBIC.2016.076633
  22. D. Oliva, V. Osuna-Enciso, E. Cuevas, G. Pajares, M. Pérez-Cisneros, and D. Zaldívar. “Improving segmentation velocity using an evolutionary method”, Expert Systems with Applications, vol 42, no. 14, pp. 5874–5886, 2015. DOI: http://dx.doi.org/10.1016/j.eswa.2015.03.028
  23. E. Cuevas, V. Osuna-Enciso, and D. Oliva, “Circle detection on images based on the Clonal Selection Algorithm (CSA)”, Imaging Sci. J., vol. 63, no. 1, pp. 34–44, 2015. DOI: http://dx.doi.org/10.1179/1743131X14Y.0000000079
  24. D. Oliva, E. Cuevas, G. Pajares, D. Zaldivar, and V. Osuna, “A Multilevel thresholding algorithm using electromagnetism optimization”, Neurocomputing, vol. 139, pp. 357–381, 2014. DOI: http://dx.doi.org/10.1016/j.neucom.2014.02.020
  25. D. Oliva, E. Cuevas, and G. Pajares, “Parameter identification of solar cells using artificial bee colony optimization”, Energy, vol. 72, pp. 93–102, 2014. DOI: http://dx.doi.org/10.1016/j.energy.2014.05.011
  26. D. Oliva, E. Cuevas, G. Pajares, and D. Zaldivar, “Template matching using an improved electromagnetism-like algorithm,” Appl. Intell., 2014. DOI: http://dx.doi.org/10.1007/s10489-014-0552-y
  27. E. Cuevas, D. Zaldívar, M. Pérez-Cisneros, and D. Oliva, “Block-matching algorithm based on differential evolution for motion estimation,” Eng. Appl. Artif. Intell., vol. 26, pp. 488–498, 2013. DOI: http://dx.doi.org/10.1016/j.engappai.2012.08.003
  28. D. Oliva, E. Cuevas, G. Pajares, D. Zaldivar, and M. Perez-Cisneros, “Multilevel thresholding segmentation based on harmony search optimization,” J. Appl. Math., vol. 2013, 2013. DOI: http://dx.doi.org/10.1155/2013/575414
  29. E. Cuevas, D. Oliva, M. Díaz, D. Zaldivar, M. Pérez-Cisneros, and G. Pajares, “White blood cell segmentation by circle detection using electromagnetism-like optimization,” Comput. Math. Methods Med., vol. 2013, 2013. DOI: http://dx.doi.org/10.1155/2013/395071
  30. E. Cuevas, D. Oliva, D. Zaldivar, M. Pérez-Cisneros, and H. Sossa, “Circle detection using electro-magnetism optimization,” Inf. Sci. (Ny)., vol. 182, no. 1, pp. 40–55, 2012. DOI: http://dx.doi.org/10.1016/j.ins.2010.12.024
  31. E. Cuevas, D. Oliva, Z. D., M. Pérez-Cisneros, and G. Pajares, “Opposition-based electromagnetism-like for global optimization,” Int. J. Innov. Comput. Inf. Control, vol. 8, no. 12, pp. 8181–8198, 2012. http://www.ijicic.org/ijicic-11-09076.pdf

Publications in mexican journals

  1.  J. V. Osuna Enciso, J. I. Espinoza Haro, D. Oliva, I. F. Hernández Ahuactzi, “Offshore Wind Farm Layout Optimization via Differential Evolution”, Computacion y Sistemas, Vol. 22(3), 2018, 929-941. http://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/2688
  2. E. Estrada, R. Maciel, C. A. Ochoa, B. Bernabe-Loranca, D. Oliva, V. Larios, “Smart city visualization tool for the open data georeferenced analysis utilizing machine learning”, International Journal of Combinatorial Optimization Problems and Informatics, 9(2), 25-40. https://ijcopi.org/index.php/ojs/article/view/93
  3. Y. Oliva-Romerom A. Ochoa-Zezzatti, A. Marcela-Herrera,  D. A. Oliva-Navarro, “Modelo innovador para un aparador comercial usando un algoritmo competitivo imperialista”, Research in Computing Science, Volume 134 (2017),  35-44   http://www.rcs.cic.ipn.mx/rcs/2017_134/
  4. E. Cuevas-Jiménez and D. A. Oliva-Navarro, “Modelado de filtros IIR usando un algoritmo inspirado en el electromagnetismo, IIR Filter Modeling Using an Algorithm Inspired on Electromagnetism,” Rev. Ing. Investig. y Tecnol., vol. XIV, no. 01, pp. 125–138, 2013.  DOI: http://dx.doi.org/10.1016/S1405-7743(13)72231-5
  5. E. Cuevas and L. Optimization, “Detección de primitivas circulares usando un algoritmo inspirado en el electromagnetismo, Circle Detection Using an Electromagnetism-Inspired Algorithm,” Rev. Ing. Investig. y Tecnol., vol. XII, no. 4, pp. 469–485, 2011. http://www.revistas.unam.mx/index.php/ingenieria/article/view/27897/25818
  6. E. Cuevas, V. Osuna-enciso, D. Oliva, and F. Wario, “Segmentación y detección de glóbulos blancos en imágenes usando Sistemas Inmunes Artificiales,” Rev. Mex. Ing. Biomédica, vol. 31, no. 2, pp. 119–134, 2010. http://www.medigraphic.com/pdfs/inge/ib-2010/ib102f.pd

Books

Authored books

  1. Erik Cuevas, Valentin Osuna-Enciso, Diego Oliva,  “Evolutionary Computation Techniques: A Comparative Perspective”, Studies in Computational Intelligence, Vol. 686, Springer International Publishing. January 2017. DOI: http://dx.doi.org/10.1007/978-3-319-51109-2.
  2. Diego Oliva, Erik Cuevas, “Advances and Applications of Optimised Algorithms in Image Processing”, Intelligent Systems Reference Library, Vol. 117, Springer International Publishing.  January 2017. DOI: http://dx.doi.org/10.1007/978-3-319-48550-8.
  3. Erik V. Cuevas Jiménez, Diego A. Oliva Navarro, José V. Osuna Enciso, Margarita A. Diaz Cortes. “Optimización: Algoritmos programados con Matlab”. Primera Edición, Alfaomega Grupo Editor, México, June 2016.
  4. Erik Valdemar Cuevas Jimenez, Margarita Díaz Cortes, Diego Oliva Navarro, “Advances of Evolutionary Computation: Methods and Operators”, Studies in Computational Intelligence, Vol. 629,  Springer International Publishing.  January 2016. DOI: http://dx.doi.org/10.1007/978-3-319-28503-0.

Edited books

  1. Aboul Ella Hassanien, Diego Alberto Oliva (Eds), “Advances in Soft Computing and Machine Learning in Image Processing”, Studies in Computational Intelligence, Vol. 730,  Springer International Publishing. January 2018. DOI: http://dx.doi.org/10.1007/978-3-319-63754-9

Book chapters

  1. Oliva, Diego and Aboul Ella Hassanien. “Digital Images Segmentation Using a Physical-Inspired Algorithm.” Handbook of Research on Machine Learning Innovations and Trends. Aboul Ella Hassanien and Tarek Gaber, IGI Global, 2017. pp 975-996. Web. 2 May. 2017. DOI: http://dx.doi.org/10.4018/978-1-5225-2229-4.ch043
  2. V. Osuna-Enciso , V. Zúñiga, D. Oliva, E. Cuevas and Humberto Sossa,” Image Segmentation Using an Evolutionary Method Based on Allostatic Mechanisms”, in Image Feature Detectors and Descriptors, Studies in Computational Intelligence, Vol 630, Ali Ismail Awad and Mahmoud Hassaballah, Springer International Publishing, 2016. DOI: http://dx.doi.org/10.1007/978-3-319-28854-3_10
  3. D. Oliva, E. Cuevas, G. Pajares, D. Zaldívar, M. Pérez-Cisneros, and V. Osuna-Enciso, “Harmony Search Optimization for Multilevel Thresholding in Digital Images”, in Evolutionary Computation Techniques and Applications, Ashish M. Gujarathi, B. V. Babu. Apple Academic Press, CRC Press,Taylor and Francis.

  4. E. Cuevas, D. Oliva, D. Zaldivar, M. Pérez, and R. Rojas, “Circle Detection Algorithm Based on Electromagnetism-Like Optimization,” in Handbook of Optimization, Intelligen., I. Zelinka, V. Snášel, and A. Abraham, Eds. Springer Berlin Heidelberg, 2013, pp. 907–934. DOI: http://dx.doi.org/10.1007/978-3-642-30504-7_36