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Erik Valdemar Cuevas Jiménez
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2020 – today
- 2025
- [j124]Héctor Escobar-Cuevas, Erik Cuevas, Jesús López, Marco Antonio Pérez Cisneros:
Integration of metaheuristic operators through unstructured evolutive game theory approach: a novel hybrid methodology. Evol. Intell. 18(1): 11 (2025) - [j123]Erik Cuevas, Mario Vásquez, Karla Avila, Alma Rodríguez, Daniel Zaldivar:
Balancing individual and collective strategies: A new approach in metaheuristic optimization. Math. Comput. Simul. 227: 322-346 (2025) - 2024
- [b15]Erik Cuevas, Daniel Zaldivar, Marco Pérez-Cisneros:
New Metaheuristic Schemes: Mechanisms and Applications. Intelligent Systems Reference Library 246, Springer 2024, ISBN 978-3-031-45560-5, pp. 1-268 - [b14]Erik Cuevas, Alberto Luque, Bernardo Morales-Castañeda, Beatriz Rivera:
Metaheuristic Algorithms: New Methods, Evaluation, and Performance Analysis. Studies in 1163, Springer 2024, ISBN 978-3-031-63052-1, pp. 1-297 - [j122]Erik Cuevas, Carlos Guzmán-Rosales, Marco Pérez-Cisneros, Ram Sarkar:
A Graph Segmentation Method Based on Compatibility Subgraph Aggregation. IEEE Access 12: 48277-48293 (2024) - [j121]Heba F. Eid, Erik Cuevas:
Enhanced Bonobo Optimizer for Optimizing Dynamic Photovoltaic Models. Comput. Sci. 25(3) (2024) - [j120]Héctor Escobar-Cuevas, Erik Cuevas, Karla Avila, Omar Ávalos:
An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors. Comput. Appl. Math. 43(4): 234 (2024) - [j119]Erik Cuevas, Alberto Luque, Fernando Vega, Daniel Zaldivar, Jesús López:
Social influence dynamics for image segmentation: a novel pixel interaction approach. J. Comput. Soc. Sci. 7(3): 2613-2642 (2024) - [j118]Heba F. Eid, Erik Cuevas, Romany Fouad Mansour:
Autonomous bonobo optimization algorithm for power allocation in wireless networks. Math. Comput. Simul. 217: 294-310 (2024) - [j117]Héctor Escobar-Cuevas, Erik Cuevas, Jorge Gálvez, Miguel Toski:
A novel optimization approach based on unstructured evolutionary game theory. Math. Comput. Simul. 219: 454-472 (2024) - [j116]Erik Cuevas, Oscar Barba-Toscano, Héctor Escobar, Daniel Zaldivar, Alma Rodríguez-Vázquez:
An initialization approach for metaheuristic algorithms by using Gibbs sampling. Math. Comput. Simul. 225: 586-606 (2024) - [j115]Héctor Escobar-Cuevas, Erik Cuevas, Jorge Gálvez, Karla Avila:
A novel hybrid search strategy for evolutionary fuzzy optimization approach. Neural Comput. Appl. 36(6): 2633-2652 (2024) - [j114]Beatriz A. Rivera-Aguilar, Erik Cuevas, Marco Pérez, Octavio Camarena, Alma Rodríguez:
A new histogram equalization technique for contrast enhancement of grayscale images using the differential evolution algorithm. Neural Comput. Appl. 36(20): 12029-12045 (2024) - [c9]Héctor Escobar-Cuevas, Erik Cuevas, Alberto Luque-Chang, Marco Pérez-Cisneros, Daniel Zaldivar, Oscar Barba-Toscano, Mario Vásquez, Nahum Aguirre, Eric L. Marin:
Differential Evolution Search Strategy Enhancement Through Evolutionary Game Theory. CEC 2024: 1-8 - 2023
- [b13]Erik Cuevas, Omar Ávalos, Jorge Gálvez:
Analysis and Comparison of Metaheuristics. Studies in Computational Intelligence 1063, Springer 2023, ISBN 978-3-031-20104-2, pp. 1-220 - [j113]Alberto Luque-Chang, Erik Cuevas, Ángel Chavarin, Marco Pérez:
Agent-Based Image Contrast Enhancement Algorithm. IEEE Access 11: 6060-6077 (2023) - [j112]Jorge Gálvez, Erik Cuevas, David Eliel Bocanegra Michel, Alma Rodríguez, Marco Antonio Pérez Cisneros:
Multi-Circle Detection Guided by Multimodal Optimization Scheme. IEEE Access 11: 47884-47906 (2023) - [j111]Ernesto Ayala, Erik Cuevas, Daniel Zaldivar, Marco Pérez:
Image Segmentation by Agent-Based Pixel Homogenization. IEEE Access 11: 54221-54239 (2023) - [j110]Héctor Escobar, Erik Cuevas, Miguel Toski, Francisco Javier Ceron Ramirez, Marco Antonio Pérez Cisneros:
An Agent-Based Model for Public Security Strategies by Predicting Crime Patterns. IEEE Access 11: 67070-67085 (2023) - [j109]Ángel Chavarin, Erik Cuevas, Omar Ávalos, Jorge Gálvez, Marco Antonio Pérez Cisneros:
Contrast Enhancement in Images by Homomorphic Filtering and Cluster-Chaotic Optimization. IEEE Access 11: 73803-73822 (2023) - [j108]Karla Avila, Erik Cuevas, Marco Pérez, Ram Sarkar:
A New Metaphor-Free Metaheuristic Approach Based on Complex Networks and Bezier Curves. IEEE Access 11: 104038-104069 (2023) - [j107]Erik Cuevas, Héctor Escobar, Ram Sarkar, Heba F. Eid:
A new population initialization approach based on Metropolis-Hastings (MH) method. Appl. Intell. 53(13): 16575-16593 (2023) - [j106]Paulina Gonzalez-Ayala, Avelina Alejo-Reyes, Erik Cuevas, Abraham Mendoza:
A Modified Simulated Annealing (MSA) Algorithm to Solve the Supplier Selection and Order Quantity Allocation Problem with Non-Linear Freight Rates. Axioms 12(5): 459 (2023) - [j105]Avelina Alejo-Reyes, Abraham Mendoza, Erik Cuevas, Miguel Alcaraz Rivera:
A Mathematical Model for an Inventory Management and Order Quantity Allocation Problem with Nonlinear Quantity Discounts and Nonlinear Price-Dependent Demand. Axioms 12(6): 547 (2023) - [j104]Gemma Corona, Oscar Maciel-Castillo, Juan Morales-Castañeda, Adrián Gonzáles, Erik Cuevas:
A new method to solve rotated template matching using metaheuristic algorithms and the structural similarity index. Math. Comput. Simul. 206: 130-146 (2023) - [j103]Eduardo H. Haro, Omar Ávalos, Octavio Camarena, Erik Cuevas:
An accurate flexible process planning using an adaptive genetic algorithm. Neural Comput. Appl. 35(9): 6435-6456 (2023) - [j102]Souradeep Mukhopadhyay, S. K. Sabbir Hossain, Samir Malakar, Erik Cuevas, Ram Sarkar:
Image contrast improvement through a metaheuristic scheme. Soft Comput. 27(18): 13657-13676 (2023) - 2022
- [j101]Ritam Guha, Soulib Ghosh, Kushal Kanti Ghosh, Erik Cuevas, Marco Antonio Pérez Cisneros, Ram Sarkar:
Groundwater Flow Algorithm: A Novel Hydro-Geology Based Optimization Algorithm. IEEE Access 10: 132193-132211 (2022) - [j100]Rohit Kundu, Soham Chattopadhyay, Erik Cuevas, Ram Sarkar:
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets. Comput. Biol. Medicine 144: 105349 (2022) - [j99]Alma Rodríguez, Erik Cuevas, Daniel Zaldivar, Bernardo Morales-Castañeda, Ram Sarkar, Essam H. Houssein:
An agent-based transmission model of COVID-19 for re-opening policy design. Comput. Biol. Medicine 148: 105847 (2022) - [j98]Soham Chattopadhyay, Arijit Dey, Pawan Kumar Singh, Diego Oliva, Erik Cuevas, Ram Sarkar:
MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images. Comput. Biol. Medicine 150: 106155 (2022) - [j97]Arpan Basu, Khalid Hassan Sheikh, Erik Cuevas, Ram Sarkar:
COVID-19 detection from CT scans using a two-stage framework. Expert Syst. Appl. 193: 116377 (2022) - [j96]Debanshu Banerjee, Pratik Bhowal, Samir Malakar, Erik Cuevas, Marco Antonio Pérez Cisneros, Ram Sarkar:
Correction: Z-Transform-Based Profile Matching to Develop a Learning-Free Keyword Spotting Method for Handwritten Document Images. Int. J. Comput. Intell. Syst. 15(1): 104 (2022) - [j95]Valentín Osuna-Enciso, Erik Cuevas, Bernardo Morales-Castañeda:
A diversity metric for population-based metaheuristic algorithms. Inf. Sci. 586: 192-208 (2022) - [j94]Shreyan Ganguly, Sk Mohiuddin, Samir Malakar, Erik Cuevas, Ram Sarkar:
Visual attention-based deepfake video forgery detection. Pattern Anal. Appl. 25(4): 981-992 (2022) - [j93]Heba F. Eid, Romany Fouad Mansour, Erik Cuevas:
A modified variant of coyote optimization algorithm for solving ordinary differential equations and oscillatory mechanical problems. Simul. 98(12): 1161-1178 (2022) - [j92]Vahid Rafe, Somayeh Mohammady, Erik Cuevas:
Using Bayesian optimization algorithm for model-based integration testing. Soft Comput. 26(7): 3503-3525 (2022) - 2021
- [b12]Erik Cuevas, Primitivo Díaz, Octavio Camarena:
Metaheuristic Computation: A Performance Perspective. Intelligent Systems Reference Library 195, Springer 2021, ISBN 978-3-030-58099-5, pp. 1-269 - [b11]Erik Cuevas, Alma Rodríguez, Avelina Alejo-Reyes, Carolina Del-Valle-Soto:
Recent Metaheuristic Computation Schemes in Engineering. Studies in Computational Intelligence 948, Springer 2021, ISBN 978-3-030-66006-2, pp. 1-277 - [j91]Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Alma Rodríguez, Mario A. Navarro:
Population management in metaheuristic algorithms: Could less be more? Appl. Soft Comput. 107: 107389 (2021) - [j90]Rajarshi Bandyopadhyay, Arpan Basu, Erik Cuevas, Ram Sarkar:
Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans. Appl. Soft Comput. 111: 107698 (2021) - [j89]Erik Cuevas, Jorge Gálvez, Miguel Toski, Karla Avila:
Evolutionary-Mean shift algorithm for dynamic multimodal function optimization. Appl. Soft Comput. 113(Part): 107880 (2021) - [j88]Anuran Chakraborty, Kushal Kanti Ghosh, Rajonya De, Erik Cuevas, Ram Sarkar:
Learning automata based particle swarm optimization for solving class imbalance problem. Appl. Soft Comput. 113(Part): 107959 (2021) - [j87]Erik Cuevas, Jorge Gálvez, Omar Ávalos, Ángel Chavarin:
A mean shift segmentation scheme using several pixel characteristics. Comput. Electr. Eng. 90: 107022 (2021) - [j86]Alberto Luque, Erik Cuevas, Marco Antonio Pérez Cisneros, Fernando Fausto, Arturo Valdivia-Gonzalez, Ram Sarkar:
Moth Swarm Algorithm for Image Contrast Enhancement. Knowl. Based Syst. 212: 106607 (2021) - [j85]Essam H. Houssein, Kashif Hussain, Laith Mohammad Abualigah, Mohamed E. Abd Elaziz, Waleed Alomoush, Gaurav Dhiman, Youcef Djenouri, Erik Cuevas:
An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation. Knowl. Based Syst. 229: 107348 (2021) - [j84]Erik Cuevas, Héctor M. Becerra, Alberto Luque:
Anisotropic diffusion filtering through multi-objective optimization. Math. Comput. Simul. 181: 410-429 (2021) - [j83]Andrea H. del Río, Itzel Aranguren, Diego Oliva, Mohamed E. Abd Elaziz, Erik Cuevas:
Efficient image segmentation through 2D histograms and an improved owl search algorithm. Int. J. Mach. Learn. Cybern. 12(1): 131-150 (2021) - [j82]Mohamed Abd El-Aziz, Nabil Neggaz, Reza Moghdani, Ahmed A. Ewees, Erik Cuevas, Songfeng Lu:
Multilevel thresholding image segmentation based on improved volleyball premier league algorithm using whale optimization algorithm. Multim. Tools Appl. 80(8): 12435-12468 (2021) - 2020
- [b10]Erik Cuevas, Fernando Fausto, Adrián González:
New Advancements in Swarm Algorithms: Operators and Applications. Intelligent Systems Reference Library 160, Springer 2020, ISBN 978-3-030-16338-9, pp. 1-296 - [b9]Erik Cuevas, Jorge Gálvez, Omar Ávalos:
Recent Metaheuristics Algorithms for Parameter Identification. Studies in Computational Intelligence 854, Springer 2020, ISBN 978-3-030-28916-4, pp. 1-277 - [j81]Fernando Fausto, Adolfo Reyna-Orta, Erik Cuevas, Ángel G. Andrade, Marco Antonio Pérez Cisneros:
From ants to whales: metaheuristics for all tastes. Artif. Intell. Rev. 53(1): 753-810 (2020) - [j80]Oscar Maciel-Castillo, Erik Cuevas, Mario A. Navarro, Daniel Zaldivar, Salvador Hinojosa:
Side-Blotched Lizard Algorithm: A polymorphic population approach. Appl. Soft Comput. 88: 106039 (2020) - [j79]Erik Cuevas:
An agent-based model to evaluate the COVID-19 transmission risks in facilities. Comput. Biol. Medicine 121: 103827 (2020) - [j78]Erik Cuevas, Angel Trujillo, Mario A. Navarro, Primitivo Díaz:
Comparison of Recent Metaheuristic Algorithms for Shape Detection in Images. Int. J. Comput. Intell. Syst. 13(1): 1059-1071 (2020) - [j77]Erik Cuevas, Jorge Gálvez, Karla Avila, Miguel Toski, Vahid Rafe:
A new metaheuristic approach based on agent systems principles. J. Comput. Sci. 47: 101244 (2020) - [j76]Jorge Gálvez, Erik Cuevas, Héctor M. Becerra, Omar Ávalos:
A hybrid optimization approach based on clustering and chaotic sequences. Int. J. Mach. Learn. Cybern. 11(2): 359-401 (2020) - [j75]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Reducing overlapped pixels: a multi-objective color thresholding approach. Soft Comput. 24(9): 6787-6807 (2020) - [j74]Oscar Maciel-Castillo, Arturo Valdivia, Diego Oliva, Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm. Soft Comput. 24(12): 8823-8856 (2020) - [j73]Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Fernando Fausto, Alma Rodríguez:
A better balance in metaheuristic algorithms: Does it exist? Swarm Evol. Comput. 54: 100671 (2020) - [c8]Mohamed E. Abd Elaziz, Ahmed A. Ewees, Dalia Yousri, Diego Oliva, Songfeng Lu, Erik Cuevas:
A Competitive Swarm Algorithm for Image Segmentation Guided by Opposite Fuzzy Entropy. FUZZ-IEEE 2020: 1-8 - [i25]Edgar Galván, Oxana Gorshkova, Peter Mooney, Fred Valdez Ameneyro, Erik Cuevas:
Statistical Tree-based Population Seeding for Rolling Horizon EAs in General Video Game Playing. CoRR abs/2008.13253 (2020)
2010 – 2019
- 2019
- [b8]Erik Cuevas, Emilio Barocio Espejo, Arturo Conde Enríquez:
Metaheuristics Algorithms in Power Systems. Studies in Computational Intelligence 822, Springer 2019, ISBN 978-3-030-11592-0, pp. 1-210 - [j72]Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Oscar Maciel-Castillo, Itzel Aranguren, Fernando Fausto:
An improved Simulated Annealing algorithm based on ancient metallurgy techniques. Appl. Soft Comput. 84 (2019) - [j71]Omar Ávalos, Erik Valdemar Cuevas Jiménez, Arturo Valdivia-Gonzalez, Jorge Gálvez, Salvador Hinojosa, Daniel Zaldivar, Diego Oliva:
A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. Computación y Sistemas 23(1): 231 (2019) - [j70]Jorge Gálvez, Erik Cuevas, Salvador Hinojosa, Omar Ávalos, Marco Antonio Pérez Cisneros:
A reactive model based on neighborhood consensus for continuous optimization. Expert Syst. Appl. 121: 115-141 (2019) - [j69]Fernando Fausto, Erik Cuevas, Oscar Maciel-Castillo, Bernardo Morales-Castañeda:
A Real-Coded Optimal Sensor Deployment Scheme for Wireless Sensor Networks Based on the Social Spider Optimization Algorithm. Int. J. Comput. Intell. Syst. 12(2): 676-696 (2019) - [j68]Erik Cuevas, Margarita-Arimatea Díaz-Cortés, Efrén Mezura-Montes:
Corner detection of intensity images with cellular neural networks (CNN) and evolutionary techniques. Neurocomputing 347: 82-93 (2019) - [j67]Erik Cuevas, Jorge Gálvez:
An optimization algorithm guided by a machine learning approach. Int. J. Mach. Learn. Cybern. 10(11): 2963-2991 (2019) - [j66]Diego Oliva, Salvador Hinojosa, Valentín Osuna-Enciso, Erik Cuevas, Marco Antonio Pérez Cisneros, Gildardo Sánchez-Ante:
Image segmentation by minimum cross entropy using evolutionary methods. Soft Comput. 23(2): 431-450 (2019) - [j65]Rehab Ali Ibrahim, Mohamed Abd El-Aziz, Diego Oliva, Erik Cuevas, Songfeng Lu:
An opposition-based social spider optimization for feature selection. Soft Comput. 23(24): 13547-13567 (2019) - [j64]Erik Cuevas, Alma Rodríguez, Arturo Valdivia, Daniel Zaldivar, Marco Pérez:
A hybrid evolutionary approach based on the invasive weed optimization and estimation distribution algorithms. Soft Comput. 23(24): 13627-13668 (2019) - 2018
- [b7]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Advances in Metaheuristics Algorithms: Methods and Applications. Studies in Computational Intelligence 775, Springer 2018, ISBN 978-3-319-89308-2, pp. 1-218 - [j63]Primitivo Díaz, Marco Antonio Pérez Cisneros, Erik Cuevas, Octavio Camarena, Fernando Abraham Fausto Martinez, Adrián González:
A Swarm Approach for Improving Voltage Profiles and Reduce Power Loss on Electrical Distribution Networks. IEEE Access 6: 49498-49512 (2018) - [j62]Erik Cuevas, Primitivo Díaz, Omar Ávalos, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm. Appl. Intell. 48(1): 182-203 (2018) - [j61]Jorge Gálvez, Erik Cuevas, Omar Ávalos, Diego Oliva, Salvador Hinojosa:
Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. Appl. Intell. 48(9): 2580-2612 (2018) - [j60]Daniel Zaldivar, Bernardo Morales-Castañeda, Alma Rodríguez, Arturo Valdivia, Erik Cuevas, Marco Antonio Pérez Cisneros:
A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior. Biosyst. 174: 1-21 (2018) - [j59]Erik Cuevas, Luis Enríquez, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A selection method for evolutionary algorithms based on the Golden Section. Expert Syst. Appl. 106: 183-196 (2018) - [j58]Salvador Hinojosa, Krishna Gopal Dhal, Mohamed E. Abd Elaziz, Diego Oliva, Erik Cuevas:
Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search. Neurocomputing 321: 201-215 (2018) - [j57]Salvador Hinojosa, Omar Ávalos, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Jorge Gálvez:
Unassisted thresholding based on multi-objective evolutionary algorithms. Knowl. Based Syst. 159: 221-232 (2018) - [j56]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Comput. Appl. 29(8): 319-335 (2018) - [j55]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. Neural Comput. Appl. 29(8): 337 (2018) - [j54]Erik Cuevas, Adolfo Reyna-Orta, Margarita-Arimatea Díaz-Cortés:
A Multimodal Optimization Algorithm Inspired by the States of Matter. Neural Process. Lett. 48(1): 517-556 (2018) - [c7]Salvador Hinojosa, Diego Oliva, Erik Cuevas, Marco Antonio Pérez Cisneros, Gonzalo Pajares:
Real-time video thresholding using evolutionary techniques and cross entropy. EAIS 2018: 1-8 - [c6]Salvador Hinojosa, Omar Ávalos, Jorge Gálvez, Diego Oliva, Erik Cuevas, Marco Antonio Pérez Cisneros:
Remote sensing imagery segmentation based on multi-objective optimization algorithms. LA-CCI 2018: 1-6 - 2017
- [b6]Diego Oliva, Erik Cuevas:
Advances and Applications of Optimised Algorithms in Image Processing. Intelligent Systems Reference Library 117, Springer 2017, ISBN 978-3-319-48549-2, pp. 1-178 - [b5]Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Raúl Rojas:
Engineering Applications of Soft Computing. Intelligent Systems Reference Library 129, Springer 2017, ISBN 978-3-319-57812-5, pp. 1-258 - [b4]Erik Cuevas, Valentín Osuna-Enciso, Diego Oliva:
Evolutionary Computation Techniques: A Comparative Perspective. Studies in Computational Intelligence 686, Springer 2017, ISBN 978-3-319-51108-5, pp. 1-222 - [j53]Erik Cuevas, Alberto Luque, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Evolutionary calibration of fractional fuzzy controllers. Appl. Intell. 47(2): 291-303 (2017) - [j52]Adrián Gonzáles, Erik Cuevas, Fernando Fausto, Arturo Valdivia, Raúl Rojas:
A template matching approach based on the behavior of swarms of locust. Appl. Intell. 47(4): 1087-1098 (2017) - [j51]Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Jorge Gálvez, Octavio Camarena:
A new metaheuristic optimization methodology based on fuzzy logic. Appl. Soft Comput. 61: 549-569 (2017) - [j50]Fernando Fausto, Erik Cuevas, Arturo Valdivia, Adrián Gonzáles:
A global optimization algorithm inspired in the behavior of selfish herds. Biosyst. 160: 39-55 (2017) - [j49]Erik Cuevas, Jorge Gálvez, Omar Ávalos:
Parameter Estimation for Chaotic Fractional Systems by Using the Locust Search Algorithm. Computación y Sistemas 21(2) (2017) - [j48]Diego Oliva, Salvador Hinojosa, Erik Cuevas, Gonzalo Pajares, Omar Ávalos, Jorge Gálvez:
Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. Expert Syst. Appl. 79: 164-180 (2017) - [j47]Jorge Gálvez, Erik Cuevas, Omar Ávalos:
Flower Pollination Algorithm for Multimodal Optimization. Int. J. Comput. Intell. Syst. 10(1): 627-646 (2017) - [j46]Fernando Fausto, Erik Cuevas, Adrián Gonzáles:
A new descriptor for image matching based on bionic principles. Pattern Anal. Appl. 20(4): 1245-1259 (2017) - 2016
- [b3]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Applications of Evolutionary Computation in Image Processing and Pattern Recognition. Intelligent Systems Reference Library 100, Springer 2016, ISBN 978-3-319-26460-8, pp. 1-269 - [b2]Erik Cuevas, Margarita-Arimatea Díaz-Cortés, Diego Alberto Oliva Navarro:
Advances of Evolutionary Computation: Methods and Operators. Studies in Computational Intelligence 629, Springer 2016, ISBN 978-3-319-28502-3 - [j45]Valentín Osuna-Enciso, Erik Cuevas, Diego Oliva, Virgilio Zúñiga, Marco Antonio Pérez Cisneros, Daniel Zaldivar:
A Multiobjective Approach to Homography Estimation. Comput. Intell. Neurosci. 2016: 3629174:1-3629174:12 (2016) - [j44]Omar Ávalos, Erik Cuevas, Jorge Gálvez:
Induction Motor Parameter Identification Using a Gravitational Search Algorithm. Comput. 5(2): 6 (2016) - [j43]Erik Cuevas, Eduardo Santuario, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
An Improved Evolutionary Algorithm for Reducing the Number of Function Evaluations. Intell. Autom. Soft Comput. 22(2): 177-192 (2016) - [j42]Valentín Osuna-Enciso, Erik Cuevas, Diego Oliva, Humberto Sossa, Marco Antonio Pérez Cisneros:
A bio-inspired evolutionary algorithm: allostatic optimisation. Int. J. Bio Inspired Comput. 8(3): 154-169 (2016) - [c5]Fernando Fausto, Erik Cuevas, Marco Antonio Pérez Cisneros:
An Optimization Based Approach for Maximizing the Information Content of Keypoints Detected on a Digital Image. ENC 2016: 1:1-1:5 - 2015
- [j41]Erik Cuevas:
Artificial Bee Colony (ABC) algorithm and its use in digital image processing. Inteligencia Artif. 18(55): 50-68 (2015) - [j40]Erik Cuevas, Margarita Díaz:
A Method for Estimating View Transformations from Image Correspondences Based on the Harmony Search Algorithm. Comput. Intell. Neurosci. 2015: 434263:1-434263:15 (2015) - [j39]Diego Oliva, Valentín Osuna-Enciso, Erik Valdemar Cuevas Jiménez, Gonzalo Pajares, Marco Antonio Pérez Cisneros, Daniel Zaldivar:
Improving segmentation velocity using an evolutionary method. Expert Syst. Appl. 42(14): 5874-5886 (2015) - [j38]Erik Cuevas, Adrián Gonzáles, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
An optimisation algorithm based on the behaviour of locust swarms. Int. J. Bio Inspired Comput. 7(6): 402-407 (2015) - [p6]Erik Cuevas, Miguel Cienfuegos, Raúl Rojas, Alfredo Padilla:
A Computational Intelligence Optimization Algorithm Based on the Behavior of the Social-Spider. Computational Intelligence Applications in Modeling and Control 2015: 123-146 - [p5]Erik Cuevas, Margarita Díaz, Raúl Rojas:
Leukocyte Detection Through an Evolutionary Method. Complex System Modelling and Control Through Intelligent Soft Computations 2015: 139-163 - 2014
- [j37]Erik Cuevas, Alonso Echavarría, Marte A. Ramírez-Ortegón:
An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation. Appl. Intell. 40(2): 256-272 (2014) - [j36]Diego Oliva, Erik Valdemar Cuevas Jiménez, Gonzalo Pajares, Daniel Zaldivar:
Template matching using an improved electromagnetism-like algorithm. Appl. Intell. 41(3): 791-807 (2014) - [j35]Erik Cuevas, Miguel Cienfuegos:
A new algorithm inspired in the behavior of the social-spider for constrained optimization. Expert Syst. Appl. 41(2): 412-425 (2014) - [j34]Juan Humberto Sossa Azuela, Elsa Rubio-Espino, Raúl Santiago-Montero, Alejandro López, Alejandro Peña Ayala, Erik Valdemar Cuevas Jiménez:
Alternative formulations to compute the binary shape Euler number. IET Comput. Vis. 8(3): 171-181 (2014) - [j33]Marte A. Ramírez-Ortegón, Lilia L. Ramírez-Ramírez, Ines Ben Messaoud, Volker Märgner, Erik Cuevas, Raúl Rojas:
A model for the gray-intensity distribution of historical handwritten documents and its application for binarization. Int. J. Document Anal. Recognit. 17(2): 139-160 (2014) - [j32]Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentín Osuna-Enciso:
A Multilevel Thresholding algorithm using electromagnetism optimization. Neurocomputing 139: 357-381 (2014) - [j31]Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Ávalos, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A Comparison of Evolutionary Computation Techniques for IIR Model Identification. J. Appl. Math. 2014: 827206:1-827206:9 (2014) - [j30]Erik Cuevas, Mauricio Gonzalez, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Multi-ellipses detection on images inspired by collective animal behavior. Neural Comput. Appl. 24(5): 1019-1033 (2014) - [j29]Marte A. Ramírez-Ortegón, Lilia L. Ramírez-Ramírez, Volker Märgner, Ines Ben Messaoud, Erik Cuevas, Raúl Rojas:
An analysis of the transition proportion for binarization in handwritten historical documents. Pattern Recognit. 47(8): 2635-2651 (2014) - [i24]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Diego Oliva:
Block matching algorithm based on Differential Evolution for motion estimation. CoRR abs/1405.4721 (2014) - [i23]Erik Cuevas, Alonso Echavarría, Marte A. Ramírez-Ortegón:
An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation. CoRR abs/1405.5066 (2014) - [i22]Erik Cuevas, Mauricio Gonzalez, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Multi-ellipses detection on images inspired by collective animal behavior. CoRR abs/1405.5164 (2014) - [i21]Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Gonzalo Pajares:
Opposition Based ElectromagnetismLike for Global Optimization. CoRR abs/1405.5172 (2014) - [i20]Erik Cuevas, Fernando Wario, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Circle detection on images using Learning Automata. CoRR abs/1405.5406 (2014) - [i19]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Edgar N. Sánchez, Marte A. Ramírez-Ortegón:
Robust Fuzzy corner detector. CoRR abs/1405.5422 (2014) - [i18]Erik Cuevas, Fernando Wario, Valentín Osuna-Enciso, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Fast algorithm for Multiple-Circle detection on images using Learning Automata. CoRR abs/1405.5531 (2014) - [i17]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Marte A. Ramírez-Ortegón:
Polynomial trajectory algorithm for a biped robot. CoRR abs/1405.5937 (2014) - [i16]Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Humberto Sossa:
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization. CoRR abs/1405.7229 (2014) - [i15]Erik Cuevas, Noé Ortega-Sánchez, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Circle detection by Harmony Search Optimization. CoRR abs/1405.7242 (2014) - [i14]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Seeking multi-thresholds for image segmentation with Learning Automata. CoRR abs/1405.7361 (2014) - [i13]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Marte A. Ramírez-Ortegón:
Circle detection using Discrete Differential Evolution Optimization. CoRR abs/1405.7362 (2014) - [i12]Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa:
A Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation. CoRR abs/1405.7406 (2014) - [i11]Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Humberto Sossa:
Circle detection using electro-magnetism optimization. CoRR abs/1406.0023 (2014) - [i10]Erik Cuevas, Miguel Cienfuegos, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A swarm optimization algorithm inspired in the behavior of the social-spider. CoRR abs/1406.3282 (2014) - [i9]Daniel Zaldivar, Erik Cuevas, Marco Antonio Pérez Cisneros, Juan Humberto Sossa Azuela, Jose G. Rodriguez, Edgar O. Palafox:
An Educational Fuzzy-based Control platform using LEGO Robots. CoRR abs/1406.3602 (2014) - [i8]Erik Cuevas:
Block matching algorithm based on Harmony Search optimization for motion estimation. CoRR abs/1406.4484 (2014) - [i7]Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentín Osuna-Enciso:
A multilevel thresholding algorithm using Electromagnetism Optimization. CoRR abs/1406.6336 (2014) - [i6]Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Multi Circle Detection on Images Using Artificial Bee Colony (ABC) Optimization. CoRR abs/1406.6560 (2014) - [i5]Erik Cuevas, Margarita Díaz, Miguel Manzanares, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
An improved computer vision method for detecting white blood cells. CoRR abs/1406.6946 (2014) - [i4]Erik Cuevas, Mauricio Gonzalez:
An optimization algorithm for multimodal functions inspired by collective animal behavior. CoRR abs/1406.7811 (2014) - [i3]Erik Cuevas, Daniel Zaldivar, Marco Pérez:
Low-cost commercial LEGO platform for mobile robotics. CoRR abs/1407.0049 (2014) - [i2]Erik Cuevas, Daniel Zaldivar, Marco Pérez, Marte A. Ramírez-Ortegón:
Hands-on experiments on intelligent behavior for mobile robots. CoRR abs/1407.0051 (2014) - [i1]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Humberto Sossa, Valentín Osuna-Enciso:
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC). CoRR abs/1407.0061 (2014) - 2013
- [j28]Erik Cuevas, Mauricio Gonzalez:
Multi-circle detection on images inspired by collective animal behavior. Appl. Intell. 39(1): 101-120 (2013) - [j27]Erik Cuevas:
Block-matching algorithm based on harmony search optimization for motion estimation. Appl. Intell. 39(1): 165-183 (2013) - [j26]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Humberto Sossa, Valentín Osuna-Enciso:
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC). Appl. Soft Comput. 13(6): 3047-3059 (2013) - [j25]Erik Cuevas, Margarita Díaz, Miguel Manzanares, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
An Improved Computer Vision Method for White Blood Cells Detection. Comput. Math. Methods Medicine 2013: 137392:1-137392:14 (2013) - [j24]Erik Cuevas, Diego Oliva, Margarita Díaz, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Gonzalo Pajares:
White Blood Cell Segmentation by Circle Detection Using Electromagnetism-Like Optimization. Comput. Math. Methods Medicine 2013: 395071:1-395071:15 (2013) - [j23]Erik Cuevas, Noé Ortega-Sánchez:
El algoritmo de búsqueda armónica y sus usos en el procesamiento digital de imágenes. Computación y Sistemas 17(4) (2013) - [j22]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Diego Oliva:
Block-matching algorithm based on differential evolution for motion estimation. Eng. Appl. Artif. Intell. 26(1): 488-498 (2013) - [j21]Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa:
A comparison of nature inspired algorithms for multi-threshold image segmentation. Expert Syst. Appl. 40(4): 1213-1219 (2013) - [j20]Erik Cuevas, Alonso Echavarría, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A novel evolutionary algorithm inspired by the states of matter for template matching. Expert Syst. Appl. 40(16): 6359-6373 (2013) - [j19]Erik Cuevas, Miguel Cienfuegos, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A swarm optimization algorithm inspired in the behavior of the social-spider. Expert Syst. Appl. 40(16): 6374-6384 (2013) - [j18]Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Multilevel Thresholding Segmentation Based on Harmony Search Optimization. J. Appl. Math. 2013: 575414:1-575414:24 (2013) - [j17]Marte A. Ramírez-Ortegón, Volker Märgner, Erik Cuevas, Raúl Rojas:
An optimization for binarization methods by removing binary artifacts. Pattern Recognit. Lett. 34(11): 1299-1306 (2013) - [j16]Erik Cuevas, Mauricio Gonzalez:
An optimization algorithm for multimodal functions inspired by collective animal behavior. Soft Comput. 17(3): 489-502 (2013) - [c4]Marte A. Ramírez-Ortegón, Volker Märgner, Raúl Rojas, Erik Cuevas:
An Objective Method to Evaluate Stroke-Width Measures for Binarized Documents. ICDAR 2013: 175-179 - [p4]Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Raúl Rojas:
Circle Detection Algorithm Based on Electromagnetism-Like Optimization. Handbook of Optimization 2013: 907-934 - [p3]Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco Pérez:
Image Segmentation Using Artificial Bee Colony Optimization. Handbook of Optimization 2013: 965-990 - [p2]Erik Cuevas, Fernando Wario, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Circle Detection on Images Using Learning Automata. Artificial Intelligence, Evolutionary Computing and Metaheuristics 2013: 545-570 - 2012
- [j15]Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Humberto Sossa:
A multi-threshold segmentation approach based on Artificial Bee Colony optimization. Appl. Intell. 37(3): 321-336 (2012) - [j14]Erik Cuevas, Valentín Osuna-Enciso, Fernando Wario, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Automatic multiple circle detection based on artificial immune systems. Expert Syst. Appl. 39(1): 713-722 (2012) - [j13]Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Humberto Sossa:
Circle detection using electro-magnetism optimization. Inf. Sci. 182(1): 40-55 (2012) - [j12]Erik Cuevas, Noé Ortega-Sánchez, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Circle Detection by Harmony Search Optimization. J. Intell. Robotic Syst. 66(3): 359-376 (2012) - [j11]Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Multi-circle detection on images using artificial bee colony (ABC) optimization. Soft Comput. 16(2): 281-296 (2012) - [c3]Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa:
Segmentation of Blood Cell Images Using Evolutionary Methods. EVOLVE 2012: 299-311 - [c2]Erik Cuevas, Humberto Sossa, Valentín Osuna-Enciso, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Fast Circle Detection Using Harmony Search Optimization. EVOLVE 2012: 313-325 - 2011
- [j10]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Edgar N. Sánchez, Marte A. Ramírez-Ortegón:
Robust Fuzzy Corner Detector. Intell. Autom. Soft Comput. 17(4): 415-429 (2011) - [j9]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
Seeking multi-thresholds for image segmentation with Learning Automata. Mach. Vis. Appl. 22(5): 805-818 (2011) - [j8]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Marte A. Ramírez-Ortegón:
Circle detection using discrete differential evolution optimization. Pattern Anal. Appl. 14(1): 93-107 (2011) - [j7]Marte A. Ramírez-Ortegón, Edgar A. Duéñez-Guzmán, Raúl Rojas, Erik Cuevas:
Unsupervised measures for parameter selection of binarization algorithms. Pattern Recognit. 44(3): 491-502 (2011) - [p1]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Raúl Rojas:
Learning Automata in Control Planning Strategies. Intelligent Computational Optimization in Engineering 2011: 27-54 - 2010
- [j6]Erik Valdemar Cuevas Jiménez, Daniel Zaldivar Navarro, Marco Antonio Pérez Cisneros, Ernesto Tapia-Rodriguez:
Generación y Optimización de Controladores Difusos Utilizando el Modelo NEFCON. Computación y Sistemas 14(2) (2010) - [j5]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros:
A novel multi-threshold segmentation approach based on differential evolution optimization. Expert Syst. Appl. 37(7): 5265-5271 (2010) - [j4]Erik Cuevas, Daniel Zaldivar, Marco Antonio Pérez Cisneros, Marte A. Ramírez-Ortegón:
Polynomial Trajectory Algorithm for a Biped Robot. Int. J. Robotics Autom. 25(4) (2010) - [j3]Marte A. Ramírez-Ortegón, Ernesto Tapia, Lilia L. Ramírez-Ramírez, Raúl Rojas, Erik Cuevas:
Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms. Pattern Recognit. 43(4): 1233-1243 (2010) - [j2]Marte A. Ramírez-Ortegón, Ernesto Tapia, Raúl Rojas, Erik Cuevas:
Transition thresholds and transition operators for binarization and edge detection. Pattern Recognit. 43(10): 3243-3254 (2010)
2000 – 2009
- 2009
- [j1]Erik Cuevas, Daniel Zaldivar, Marco Pérez, Edgar N. Sánchez:
LVQ Neural Networks Applied To Face Segmentation. Intell. Autom. Soft Comput. 15(3): 439-450 (2009) - 2006
- [b1]Erik Valdemar Cuevas Jiménez:
Intelligent robotic vision. Free University of Berlin, Dahlem, Germany, 2006, pp. 1-323
1990 – 1999
- 1999
- [c1]Fenurndo Lara-Rojo, Edgar N. Sánchez, Erik Valdemar Cuevas Jiménez:
Real-time neurofuzzy control for an underactuated robot. IJCNN 1999: 2220-2225
Coauthor Index
aka: Humberto Sossa
aka: Margarita-Arimatea Díaz-Cortés
aka: Diego Alberto Oliva Navarro
aka: Daniel Zaldivar Navarro
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