Erik Cuevas

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 84

Top Venues

Publications

Erik Cuevas, Carlos Guzmán-Rosales, Marco Pérez-Cisneros, Ram Sarkar
A Graph Segmentation Method Based on Compatibility Subgraph Aggregation. IEEE Access 12 (2024)
Héctor Escobar-Cuevas, Erik Cuevas, Jorge Gálvez, Karla Avila
A novel hybrid search strategy for evolutionary fuzzy optimization approach. Neural Comput. Appl. 36 (6) (2024)
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 (2024)
Héctor Escobar-Cuevas, Erik Cuevas, Jorge Gálvez, Miguel Toski
A novel optimization approach based on unstructured evolutionary game theory. Math. Comput. Simul. 219 (2024)
Heba F. Eid, Erik Cuevas, Romany Fouad Mansour
Autonomous bonobo optimization algorithm for power allocation in wireless networks. Math. Comput. Simul. 217 (2024)
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) (2024)
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)
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) (2024)
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) (2023)
Souradeep Mukhopadhyay, S. K. Sabbir Hossain, Samir Malakar, Erik Cuevas, Ram Sarkar
Image contrast improvement through a metaheuristic scheme. Soft Comput. 27 (18) (2023)
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 (2023)
Erik Cuevas, Héctor Escobar, Ram Sarkar, Heba F. Eid
A new population initialization approach based on Metropolis-Hastings (MH) method. Appl. Intell. 53 (13) (2023)
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 (2023)
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 (2023)
Gemma Corona, Oscar Maciel-Castillo, Juan Morales-Castañeda, Adrian Gonzalez, Erik Cuevas
A new method to solve rotated template matching using metaheuristic algorithms and the structural similarity index. Math. Comput. Simul. 206 (2023)
Karla Avila, Erik Cuevas, Marco Pérez, Ram Sarkar
A New Metaphor-Free Metaheuristic Approach Based on Complex Networks and Bezier Curves. IEEE Access 11 (2023)
Alberto Luque-Chang, Erik Cuevas, Ángel Chavarin, Marco Pérez
Agent-Based Image Contrast Enhancement Algorithm. IEEE Access 11 (2023)
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) (2023)
Eduardo H. Haro, Omar Ávalos, Octavio Camarena, Erik Cuevas
An accurate flexible process planning using an adaptive genetic algorithm. Neural Comput. Appl. 35 (9) (2023)
Ernesto Ayala, Erik Cuevas, Daniel Zaldivar, Marco Pérez
Image Segmentation by Agent-Based Pixel Homogenization. IEEE Access 11 (2023)
Ritam Guha, Soulib Ghosh, Kushal Kanti Ghosh, Erik Cuevas, Marco A. Pérez Cisneros, Ram Sarkar
Groundwater Flow Algorithm: A Novel Hydro-Geology Based Optimization Algorithm. IEEE Access 10 (2022)
Debanshu Banerjee, Pratik Bhowal, Samir Malakar, Erik Cuevas, Marco A. 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) (2022)
Shreyan Ganguly, Sk Mohiuddin, Samir Malakar, Erik Cuevas, Ram Sarkar
Visual attention-based deepfake video forgery detection. Pattern Anal. Appl. 25 (4) (2022)
Rohit Kundu, Soham Chattopadhyay, Erik Cuevas, Ram Sarkar
AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets. Comput. Biol. Medicine 144 (2022)
Vahid Rafe, Somayeh Mohammady, Erik Cuevas
Using Bayesian optimization algorithm for model-based integration testing. Soft Comput. 26 (7) (2022)
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) (2022)
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 (2022)
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 (2022)
Arpan Basu, Khalid Hassan Sheikh, Erik Cuevas, Ram Sarkar
COVID-19 detection from CT scans using a two-stage framework. Expert Syst. Appl. 193 (2022)
Valentín Osuna-Enciso, Erik Cuevas, Bernardo Morales-Castañeda
A diversity metric for population-based metaheuristic algorithms. Inf. Sci. 586 (2022)
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 (2021)
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) (2021)
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) (2021)
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) (2021)
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 (2021)
Erik Cuevas, Jorge Gálvez, Miguel Toski, Karla Avila
Evolutionary-Mean shift algorithm for dynamic multimodal function optimization. Appl. Soft Comput. 113 (Part) (2021)
Alberto Luque, Erik Cuevas, Marco A. Pérez Cisneros, Fernando Fausto, Arturo Valdivia-Gonzalez, Ram Sarkar
Moth Swarm Algorithm for Image Contrast Enhancement. Knowl. Based Syst. 212 (2021)
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 (2021)
Erik Cuevas, Héctor M. Becerra, Alberto Luque
Anisotropic diffusion filtering through multi-objective optimization. Math. Comput. Simul. 181 (2021)
Erik Cuevas, Jorge Gálvez, Omar Ávalos, Ángel Chavarin
A mean shift segmentation scheme using several pixel characteristics. Comput. Electr. Eng. 90 (2021)
Oscar Maciel-Castillo, Arturo Valdivia, Diego Oliva, Erik Cuevas, Daniel Zaldivar, Marco A. Pérez Cisneros
A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm. Soft Comput. 24 (12) (2020)
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) (2020)
Salvador Hinojosa, Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Marco A. Pérez Cisneros
Reducing overlapped pixels: a multi-objective color thresholding approach. Soft Comput. 24 (9) (2020)
Oscar Maciel-Castillo, Erik Cuevas, Mario A. Navarro, Daniel Zaldivar, Salvador Hinojosa
Side-Blotched Lizard Algorithm: A polymorphic population approach. Appl. Soft Comput. 88 (2020)
Erik Cuevas
An agent-based model to evaluate the COVID-19 transmission risks in facilities. Comput. Biol. Medicine 121 (2020)
Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Fernando Fausto, Alma Rodríguez
A better balance in metaheuristic algorithms: Does it exist? Swarm Evol. Comput. 54 (2020)
Erik Cuevas, Jorge Gálvez, Karla Avila, Miguel Toski, Vahid Rafe
A new metaheuristic approach based on agent systems principles. J. Comput. Sci. 47 (2020)
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)
Fernando Fausto, Adolfo Reyna-Orta, Erik Cuevas, Ángel G. Andrade, Marco A. Pérez Cisneros
From ants to whales: metaheuristics for all tastes. Artif. Intell. Rev. 53 (1) (2020)
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 (2020)
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) (2020)
Erik Cuevas, Margarita-Arimatea Díaz-Cortés, Efrén Mezura-Montes
Corner detection of intensity images with cellular neural networks (CNN) and evolutionary techniques. Neurocomputing 347 (2019)
Jorge Gálvez, Erik Cuevas, Salvador Hinojosa, Omar Ávalos, Marco A. Pérez Cisneros
A reactive model based on neighborhood consensus for continuous optimization. Expert Syst. Appl. 121 (2019)
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) (2019)
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)
Diego Oliva, Salvador Hinojosa, Valentín Osuna-Enciso, Erik Cuevas, Marco A. Pérez Cisneros, Gildardo Sánchez-Ante
Image segmentation by minimum cross entropy using evolutionary methods. Soft Comput. 23 (2) (2019)
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) (2019)
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) (2019)
Erik Cuevas, Jorge Gálvez
An optimization algorithm guided by a machine learning approach. Int. J. Mach. Learn. Cybern. 10 (11) (2019)
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) (2018)
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 (2018)
Jorge Gálvez, Erik Cuevas, Omar Ávalos, Diego Oliva, Salvador Hinojosa
Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. Appl. Intell. 48 (9) (2018)
Salvador Hinojosa, Omar Ávalos, Jorge Gálvez, Diego Oliva, Erik Cuevas, Marco A. Pérez Cisneros
Remote sensing imagery segmentation based on multi-objective optimization algorithms. LA-CCI (2018)
Erik Cuevas, Luis Enríquez, Daniel Zaldivar, Marco A. Pérez Cisneros
A selection method for evolutionary algorithms based on the Golden Section. Expert Syst. Appl. 106 (2018)
Primitivo Díaz, Marco A. 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 (2018)
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 (2018)
Erik Cuevas, Primitivo Díaz, Omar Ávalos, Daniel Zaldivar, Marco A. Pérez Cisneros
Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm. Appl. Intell. 48 (1) (2018)
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) (2018)
Salvador Hinojosa, Diego Oliva, Erik Cuevas, Marco A. Pérez Cisneros, Gonzalo Pajares
Real-time video thresholding using evolutionary techniques and cross entropy. EAIS (2018)
Daniel Zaldivar, Bernardo Morales-Castañeda, Alma Rodríguez, Arturo Valdivia, Erik Cuevas, Marco A. Pérez Cisneros
A novel bio-inspired optimization model based on Yellow Saddle Goatfish behavior. Biosyst. 174 (2018)
Erik Cuevas, Adolfo Reyna-Orta, Margarita-Arimatea Díaz-Cortés
A Multimodal Optimization Algorithm Inspired by the States of Matter. Neural Process. Lett. 48 (1) (2018)
Margarita-Arimatea Díaz-Cortés, Erik Cuevas, Jorge Gálvez, Octavio Camarena
A new metaheuristic optimization methodology based on fuzzy logic. Appl. Soft Comput. 61 (2017)
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) (2017)
Fernando Fausto, Erik Cuevas, Arturo Valdivia, Adrián Gonzáles
A global optimization algorithm inspired in the behavior of selfish herds. Biosyst. 160 (2017)
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 (2017)
Erik Cuevas, Alberto Luque, Daniel Zaldivar, Marco A. Pérez Cisneros
Evolutionary calibration of fractional fuzzy controllers. Appl. Intell. 47 (2) (2017)
Fernando Fausto, Erik Cuevas, Adrián Gonzáles
A new descriptor for image matching based on bionic principles. Pattern Anal. Appl. 20 (4) (2017)
Erik Cuevas, Jorge Gálvez, Omar Ávalos
Parameter Estimation for Chaotic Fractional Systems by Using the Locust Search Algorithm. Computación y Sistemas 21 (2) (2017)
Jorge Gálvez, Erik Cuevas, Omar Ávalos
Flower Pollination Algorithm for Multimodal Optimization. Int. J. Comput. Intell. Syst. 10 (1) (2017)
Erik Cuevas, Eduardo Santuario, Daniel Zaldivar, Marco A. Pérez Cisneros
An Improved Evolutionary Algorithm for Reducing the Number of Function Evaluations. Intell. Autom. Soft Comput. 22 (2) (2016)
Omar Ávalos, Erik Cuevas, Jorge Gálvez
Induction Motor Parameter Identification Using a Gravitational Search Algorithm. Comput. 5 (2) (2016)
Valentín Osuna-Enciso, Erik Cuevas, Diego Oliva, Humberto Sossa, Marco A. Pérez Cisneros
A bio-inspired evolutionary algorithm: allostatic optimisation. Int. J. Bio Inspired Comput. 8 (3) (2016)
Valentín Osuna-Enciso, Erik Cuevas, Diego Oliva, Virgilio Zúñiga, Marco A. Pérez Cisneros, Daniel Zaldivar
A Multiobjective Approach to Homography Estimation. Comput. Intell. Neurosci. 2016 (2016)
Fernando Fausto, Erik Cuevas, Marco A. Pérez Cisneros
An Optimization Based Approach for Maximizing the Information Content of Keypoints Detected on a Digital Image. ENC (2016)
Erik Cuevas
Artificial Bee Colony (ABC) algorithm and its use in digital image processing. Inteligencia Artif. 18 (55) (2015)
Erik Cuevas, Adrián Gonzáles, Daniel Zaldivar, Marco A. Pérez Cisneros
An optimisation algorithm based on the behaviour of locust swarms. Int. J. Bio Inspired Comput. 7 (6) (2015)
Erik Cuevas, Margarita Díaz
A Method for Estimating View Transformations from Image Correspondences Based on the Harmony Search Algorithm. Comput. Intell. Neurosci. 2015 (2015)
Erik Cuevas, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa, Valentín Osuna-Enciso
Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC). CoRR (2014)
Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa
Circle detection using electro-magnetism optimization. CoRR (2014)
Erik Cuevas, Daniel Zaldivar, Marco Pérez, Marte A. Ramírez-Ortegón
Hands-on experiments on intelligent behavior for mobile robots. CoRR (2014)
Erik Cuevas, Daniel Zaldivar, Marco A. Pérez Cisneros, Marte A. Ramírez-Ortegón
Polynomial trajectory algorithm for a biped robot. CoRR (2014)
Erik Cuevas, Daniel Zaldivar, Marco A. Pérez Cisneros, Edgar N. Sánchez, Marte A. Ramírez-Ortegón
Robust Fuzzy corner detector. CoRR (2014)
Erik Cuevas, Jorge Gálvez, Salvador Hinojosa, Omar Ávalos, Daniel Zaldivar, Marco A. Pérez Cisneros
A Comparison of Evolutionary Computation Techniques for IIR Model Identification. J. Appl. Math. 2014 (2014)
Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco A. Pérez Cisneros
Multi Circle Detection on Images Using Artificial Bee Colony (ABC) Optimization. CoRR (2014)
Erik Cuevas, Daniel Zaldivar, Marco A. Pérez Cisneros, Marte A. Ramírez-Ortegón
Circle detection using Discrete Differential Evolution Optimization. CoRR (2014)
Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentín Osuna-Enciso
A Multilevel Thresholding algorithm using electromagnetism optimization. Neurocomputing 139 (2014)
Erik Cuevas, Felipe Sención-Echauri, Daniel Zaldivar, Marco A. Pérez Cisneros, Humberto Sossa
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization. CoRR (2014)
Erik Cuevas
Block matching algorithm based on Harmony Search optimization for motion estimation. CoRR (2014)
Erik Cuevas, Fernando Wario, Valentín Osuna-Enciso, Daniel Zaldivar, Marco A. Pérez Cisneros
Fast algorithm for Multiple-Circle detection on images using Learning Automata. CoRR (2014)
Erik Cuevas, Daniel Zaldivar, Marco Pérez
Low-cost commercial LEGO platform for mobile robotics. CoRR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Erik Cuevas