.: Publications :.

• Meza-Sánchez, M., Clemente, E., Rodriguez-Liñan, M.C., Olague, G. Synthetic-Analytic Behavior-based Control Framework: Constraining Velocity in Tracking for Nonholonomic Wheeled Mobile Robots. Information Sciences. Article in Press, 2019. Q1

• Olague, G., Clemente, E., Hernández, D. E., Barrera, A., Chan-Ley, M., and Bakshi, S. Artificial Visual Cortex and Random Search for Object Categorization. IEEE Access. Volume 7, 54054-54072, 2019. Q1

• Puente, C., Olague, G., Trabucchi, M., Arjona-Villicaña, P.D., and Soubervielle-Montalvo, C. Synthesis of Vegetation Indices using Genetic Programming for Soil Erosion. Remote Sensing. Volume 11(2), 156, 1-25, 2019. Q1

• Olague, G., Hernández, D. E., Llamas, P., Clemente, E., and Briseño, J. L. Brain Programming as a New Strategy to Create Visual Routines for Object Tracking. Multimedia Tools and Applications. Volume 78(5), 5881-5918, 2019. Q2

• Olague, G., Hernández, D. E., Clemente, E., and Chan-Ley, M. Evolving  Head Tracking Routines with Brain Programming. IEEE Access. Volume 6, 26254-26270, 2018. Q1

• Chavez de la O, F., Fernández, F., Lanza, D., Benavides, C., Villegas, J., Trujillo, L., Olague, G., and Roman, G. Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition. Journal of High Performance Computing Applications. 32(5):706-720, 2018. Q2

• Hernández, D. E., Olague, G., Hernández, B., and Clemente, E. CUDA-based parallelization of a bio-inspired model for fast object classification. Neural Computing and Applications. 30(10):3007-3018, 2018. Q1

• López, V., Trujillo, L. Legrand, P., Díaz, V., and Olague, G. Comparison of local feature extraction paradigms applied to visual SLAM. Computación y Sistemas. 20(4):565-588, 2016.

• Villareal, B. L., Olague, G., and Gordillo, J. L. Synthesis of odor tracking algorithms with genetic programming. Neurocomputing. 175(B):1019-1032, 2016. Q1

• Hernández, D. E., Clemente, E., Olague, G., and Briseño, J. L. Evolutionary  multi-objective visual cortex for object classification in natural images. Journal of Computational Science. 17(part 1):216-233, 2016. Q2

• Clemente, E., Chavezde la O, F., Fernández, F., and Olague, G. Self-adjusting focus of attention in combination with a genetic fuzzy system for improving a laser environment control device system. Applied Soft Computing. 32:250-265, 2015. Q1

• García, M., Trujillo, L., Fernández, F., and Olague, G. The EvoSpace model for pool-based evolutionary algorithms. Journal of Grid Computing. 13(3):329-349, 2015. Q1

• Dozal, L., and Olague, G., Clemente, E., Hernández, D. E. Brain programming for the evolution of an artificial dorsal stream. Cognitive Computation. 6(3):528-557, 2014. Q1

• Perez, C., and Olague, G. Genetic Programming as a Strategy for Learning Image Descriptor Operators. Intelligent Data Analysis. 17(4):561-583, 2013. Q4

• Fernández, F., Olague, G., Trujillo, L., and Lombraña, D. Customizable execution environments for evolutionary computation using BOINC + virtualization Natural Computing. 12(2):163--177, 2012.  Q3 

• Trujillo, L., Legrand, P., Olague, G., and Lévy-Véhel, J. Evolving Estimators of the Pointwise Hölder Exponent with Genetic Programming. Information Sciences. 209:61-79, 2012. Q1

• Olague, G., and Trujillo, L. Interest Point Detection through Multiobjective Genetic Programming. Applied Soft Computing. 12(8):2566-2582, 2012. Q1

• Trabucchi, M., Puente, C., Comín, F. A., Olague, G., and Smith, S. V. Mapping Erosion Risk at the Basin Scale in a Mediterranean Environment with Opencast Coal Mines to Target Restoration Actions. Regional Environmental Change. 12(4):675-687, 2012. Q1

• Olague, G., and Trujillo, L. (20011) Evolutionary Computer Assisted Design of Image Operators that Detect Interest Points using Genetic Programming.
  Image and Vision Computing. Elsevier. Q1

• Trujillo, L., Olague, G., Lutton, E., Fernández, F., Dozal, L., and Clemente, E. (2011) Speciation in Behavioral Space for Evolutionary Robotics.
  Journal of Intelligent & Robotics Systems. Springer. Q3

• Chavez, F., Fernández, F., Alcalá, R., Alcalá-Fdez, J., Olague, G., and Herrera, F. (2011) Hybrid Laser Pointer Detection Algorithm based on Template Matching and Fuzzy Rule-based Systems for Domotic Control in Real Home Environments. Applied Intelligence. 36(2):407-423. 

• Juan Villegas, Humberto Sossa, Carlos Avilés, and Gustavo Olague. (2011) Evolutionary Associative Memories through Genetic Programming. Revista Mexicana de Física. Vol. 57(2): pp. 110-116.

• Cesar Puente, Gustavo Olague, Stephen Smith, Stephen Bullock, Alejandro Hinojosa, and Miguel Angel Botello. (2011) A Genetic Programming Approach to Estimate Vegetation Cover in the Context of Soil Erosion Assessment. Photogrammetric Engineering & Remote Sensing. Vol. 77(4): pp. 363-376.

• Olague, G., Pérez, C. B., Fernández, F., and Lutton, E. (2009) An Artificial Life Approach to Dense Stereo Disparity.
  Artificial Life and Robotics. Springer.

• Trujillo, L., and Olague, G. (2008) Automated Design of Image Operators that Detect Interest Points. Evolutionary Computation. MIT Press, Vol. 16, No. 4, pp. 483-507.

• Pérez, C. B, and Olague, G. Learning Invariant Region Descriptor Operators with Genetic Programming and the F-Measure.
  International Conference on Pattern Recognition. December 8-11, 2008. Tampa, FL, USA. ICPR2008.

• Trujillo, L., Olague, G., Lutton, E., and Fernández, F. Multiobjective Design of Operators that Detect Points of Interest in Images.
  Genetic and Evolutionary Computation Conference. July 12-16, 2008. Atlanta, GA, USA. GECCO2008.

• Trujillo, L., Olague, G., Fernández, F., and Lutton, E. Behavior-based Speciation for Evolutionary Robotics.
  Genetic and Evolutionary Computation Conference. July 12-16, 2008. Atlanta, GA, USA. GECCO2008.

• Trujillo, L., Olague, G., Lutton, E., and Fernández, F. Discovering Several Robot Behaviors through Speciation. 4 th European Workshop on Bio-Inspired Heuristics for Design Automation. Lecture Notes in Computer Science. Springer-Verlag. Best Paper Award. EvoHOT2008.

• Trujillo, L., Olague, G., Fernández, F., and Lutton, E. Selecting Local Region Descriptors with a Genetic Algorithm for Real-World Place Recognition.
  10th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. EvoIASP2008.

• Hernández, B., Olague, G., Hammoud, R., Trujillo, L., and Romero, E. (2007) Visual Learning of Texture Descriptors for Facial Expression Recognition in Thermal Imagery.
  to appear Computer Vision and Image Understanding . Elsevier Science.

• Trujillo, L., Olague, G., Legrand, P., and Lutton, E. (2007) Regularity Based Descriptor Computed from Local Image Oscillations.
  to appear Optics Express. Optical Society of America.

• Olague, G., Romero, E., Trujillo, L., and Bhanu, B. Multiclass Object Recognition based on Texture Linear Genetic Programming.
  9 th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. Nominated for Best Paper Award. EvoIASP2007.

• Pérez, C. B., and Olague, G. Unsupervised Evolutionary Segmentation Algorithm based on Texture Analysis.
  9 th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. EvoIASP2007.

• Trujillo, L., and Olague, G. Scale Invariance for Evolved Interest Operators.
  9 th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. EvoIASP2007.

• Olague, G. and Dunn, E. (2006) Development of a Practical Photogrammetric Network Design using Evolutionary Computing.
  to appear The Photogrammetric Record. Blackwell Publishing Ltd.

• Macías, D., Olague, G. and Méndez, E.R. (2006) Inverse Scattering with Far-field Intensity Data: Random Surfaces that Belong to a Well-defined Statistical Class.
  to appear Waves in Random and Complex Media. Taylor & Francis.

• Trujillo, L., Olague. G. Using Evolution to Learn How to Perform Interest Point Detection. to appear
  International Conference on Pattern Recognition. August 20-24, 2006. Hong Kong, China. ICPR 2006.

• Olague, G., Puente. C. Honeybees as an Intelligent based Approach for 3D Reconstruction. to appear
  International Conference on Pattern Recognition. August 20-24, 2006. Hong Kong, China. ICPR 2006.

• Trujillo, L., Olague. G. Synthesis of Interest Point Detectors Through Genetic Programming.
  Genetic and Evolutionary Computation Conference. July 8-12, 2006. Seattle, WA, USA.. GECCO 2006. Bronze Medal at the 2006 Human-Competitive Awards, the "Humies".

• Olague, G., Puente. C. Parisian Evolution with Honeybees for Three-Dimensional Reconstruction.
  Genetic and Evolutionary Computation Conference. July 8-12, 2006. Seattle, WA, USA.. GECCO 2006.

• Legrand, P., Lutton, E., and Olague, G. Evolutionary Denoising based on an Estimation of Hölder Exponents with Oscillations.
  8 th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. EvoIASP2006.

• Olague, G. Puente, C.. The Honeybee Search Algorithm for Three-Dimensional Reconstruction.
  8 th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science 3907. Springer-Verlag. pp. 427-437. EvoIASP2006. Best Paper Award for EvoIASP 2006.

• Olague, G., Cagnoni, S., and Lutton, E. (eds) Introduction to the Special Issue on Evolutionary Computer Vision and Image Understanding. to appear Pattern Recognition Letters, Elsevier Science.

• Dunn, E., Olague, G., and Lutton, E. (2005) Parisian Camera Placement for Vision Metrology. to appear Pattern Recognition Letters, Elsevier Science.

• Dunn, E., Olague, G. Pareto Optimal Camera Placement for Automated Visual Inspection.
  IEEE/RSJ International Conference on Intelligent Robots and Systems. August 2-6, Alberta Canada. IROS 2005.

• Olague, G. What About Learning in Sensor Planning Research?
  Workshop on Learning in Computer Vision. MLCV 2005. In Conjuction with AAAI 2005.

• Trujillo, L., Olague, G., Hammoud, R., and Hernández, B. Automatic Feature Localization in Thermal Images for Facial Expression Recognition.
  2 nd. Joint IEEE International Workshop on Object Tracking and Classification in and Beyond the Visible Spectrum. OTCBVS 2005. In Conjuction with CVPR 2005.

• Olague, G., Fernández, F., Pérez, C., and Lutton, E. (2005) The Infection Algorithm: An Artificial Epidemic Approach for Dense Stereo Correspondence. Artificial Life, MIT Press.

• Dunn, E., Olague, G., and Lutton, E. Automated Photogrammetric Network Design using the Parisian Approach.
  7 th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. EvoIASP2005. Nominated for Best Paper Award.

• Pérez, C., Olague, G., Fernández, F., and Lutton, E. An Evolutionary Infection Algorithm for Dense Stereo Correspondence.
  7 th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science. Springer-Verlag. EvoIASP2005.

• Olague, G., Hernández, B., (2004) A New Accurate and Flexible Model-based Multi-corner Detector for Measurement and Recognition.
  Pattern Recognition Letters. Volume 26, Issue 1 , 1 January 2005, Pages 27-41.

• Olague, G., Fernandez, F., Perez, C., and Lutton, E. (2004) The Infection Algorithm an Artificial Epidemic Approach for Dense Stereo Matching.
  Parallel Problem Solving from Nature. X. Yao et al. (Eds.): LNCS 3242, pp. 622-632, Springer-Verlag, Birmingham, UK, September 18-22, 2004.

• Dunn, E., Olague, G., Lutton, E., and Schoenauer, M. (2004) Pareto Optimal Sensing Strategies for an Active Vision System.
  IEEE Congress on Evolutionary Computation. Vol. 1, pp. 457-463, Portland, Oregon, USA, June 19-23, 2004.

• Dunn, E., Olague, G. (2004) Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction.
  6 th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science 3005. Springer-Verlag. EvoIASP2004.

• Olague, G., Hernández, B. and Dunn, E. (2003) Hybrid Evolutionary Ridge Regression Approach for High-Accurate Corner Extraction.
  IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Madison, Wisconsin, USA, June 16-23, 2003.

• Dunn, E. and Olague, G. (2003) Evolutionary Computation for Sensor Planning: The Task Distribution Plan.
  EURASIP Journal on Applied Signal Processing, Special Issue on Genetic and Evolutionary Computation in Signal Processing and Image Analysis.

• Macías, D., Olague, G. and Méndez, E.R. (2003) Hybrid Evolution Strategy-Downhill Simplex Algorithm for Inverse Light Scattering Problems.
  5th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science 2611. Springer-Verlag. EvoIASP2003.

• Olague, G., Hernández, B. and Dunn, E. (2003) Accurate L-corner Measurement using USEF Functions and Evolutionary Algorithms.
  5th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science 2611. Springer-Verlag. EvoIASP2003.

• Dunn, E. and Olague, G. (2002) Using Evolutionary Computation for Automated Sensor Planning. Genetic and Evolutionary Computation Conference, 2002. Accepted in late breaking papers track.

• Olague, G. and Hernández, B. (2002) Flexible Model-based Multi-corner Detector for Accurate Measurements and Recognition.
  16th International Conference on Pattern Recognition. IEEE Computer Society Press. pp. 578-583, Vol. 2, 11-15 August. Québec, Canada.

• Macías, D., Olague, G. and Méndez, E.R. (2002) Surface Profile Reconstruction from Scattered Intensity Data using Evolutionary Strategies.
  4th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science 2279. Springer-Verlag. EvoIASP2002.

• Olague, G. Automated Photogrammetric Network Design using Genetic Algorithms . Photogrammetric Engineering & Remote Sensing , Vol.68, No.5, pp.423-431, May 2002. Paper awarded the "2003 First Honorable Mention for the Talbert Abrams Award", by ASPRS.

• Olague, G. and Mohr, R. Optimal Camera Placement for Accurate Reconstruction. Pattern Recognition, Vol. 35 (4) (2002) pp. 927-944.

• Olague, G., (2001) Autonomous Photogrammetric Network Design using Genetic Algorithms.Third European Workshop on Evolutionary Computation in Image Analysis and Signal Processing. Lecture Notes in Computer Science 2037. Springer-Verlag. EvoIASP2001

• Olague, G. and B. Hernández (2001) Autonomous Model Based Corner Detection using Evolutionary Algorithms. In American Society for Photogrammetry and Remote Sensing. ASPRS Annual Conference 2001

• Olague, G. and R. Ramírez (2001) Artificial Image Generation from Digital Images. In American Society for Photogrammetry and Remote Sensing. ASPRS Annual Conference 2001

• Olague, G. and Dunn, E. (2001) Multiple Robot Task Distribution: Towards an Autonomous Photogrammetric System.
  Proceedings of the 2001 IEEE Systems, Man and Cybernetics Conference, Copyright.

• Olague, G. and Mohr, R. (1998) Optimal Camera Placement to Obtain Accurate 3D Point Positions.
  14th International Conference on Pattern Recognition. IEEE Computer Society Press. pp. 8-10, Vol. 1, August. Brisbane, Australia.