Artículos científicos JCR

Barba-Toscano, O., Cuevas, E., Escobar-Cuevas, H., & Islas-Toski, M. (2025). Cellular neighbors optimizer: a novel metaheuristic approach inspired by the cellular automata and agent-based modeling for global optimization. The Journal of Supercomputing, 81(8), 1-50. PDF

Morales-Castañeda, B., Pérez-Cisneros, M., Cuevas, E., Zaldívar, D., Toski, M., & Rodríguez, A. (2025). Analyzing metaheuristic algorithms performance and the causes of the zero-bias problem: a different perspective in benchmarks. Evolutionary Intelligence, 18(2), 1-19. PDF

Cuevas, E., González-Sánchez, O. A., Delgado-Castañeda, N., Zaldívar, D., & Rodríguez-Vazquez, A. (2025). A novel metaheuristic algorithm using structured population and virtual particles. The Journal of Supercomputing, 81(6), 1-90. PDF

Aguirre, N., Cuevas, E., Luque-Chang, A., & Escobar-Cuevas, H. (2025). An improved swarm optimization algorithm using exploration and evolutionary game theory for efficient exploitation. The Journal of Supercomputing, 81(4), 1-57. PDF

Cuevas, E., Barba, O., & Escobar, H. (2025). A novel cheetah optimizer hybrid approach based on opposition-based learning (OBL) and diversity metrics. Computing, 107(2), 62. PDF

Escobar-Cuevas, H., Cuevas, E., Lopez, J., & Perez-Cisneros, M. (2025). Integration of metaheuristic operators through unstructured evolutive game theory approach: a novel hybrid methodology. Evolutionary Intelligence, 18(1), 1-28. PDF

Cuevas, E., García-De-Lira, S. J., Ascencio-Piña, C. R., Pérez-Cisneros, M., & Vega, S. (2025). Integrating agent-based models and clustering methods for improving image segmentation. Heliyon, 11(1). PDF

Cuevas, E. H., Zaldivar, D., & Perez, M. (2025). Impact of Programming Languages on Learning Performance. International Journal of Information and Communication Technology Education (IJICTE), 21(1), 1-17. PDF

Islas-Toski, M., Cuevas, E., Pérez-Cisneros, M., & Escobar, H. (2024). Agent-Based Evacuation Modeling: Enhancing Building Safety in Emergency Scenarios. Smart Cities, 7(6), 3165-3187. PDF

Escobar-Cuevas, H., Cuevas, E., Luque-Chang, A., Barba-Toscano, O., & Pérez-Cisneros, M. (2024). Enhancing Metaheuristic Algorithm Performance Through Structured Population and Evolutionary Game Theory. Mathematics, 12(23), 3676. PDF

Rivera-Aguilar, B. A., Cuevas, E., Luque-Chang, A., López, J., & Pérez-Cisneros, M. (2024). Pixel Interaction Model for Contrast Enhancement: Bridging Social Science and Image Processing. Applied Sciences, 14(23), 10887. PDF

Rivera-Aguilar, B. A., Cuevas, E., Zaldívar, D., & Pérez-Cisneros, M. A. (2024). A metaheuristic algorithm based on a radial basis function neural networks. Neural Computing and Applications, 1-29. PDF

Cuevas, E., Vásquez, M., Avila, K., Rodriguez, A., & Zaldivar, D. (2025). Balancing individual and collective strategies: A new approach in metaheuristic optimization. Mathematics and Computers in Simulation, 227, 322-346. PDF

Cuevas, E., Ascencio-Piña, C. R., Pérez, M., & Morales-Castañeda, B. (2024). Considering radial basis function neural network for effective solution generation in metaheuristic algorithms. Scientific Reports, 14(1), 16806. PDF

Cuevas, E., Barba-Toscano, O., Escobar, H., Zaldívar, D., & Rodríguez-Vázquez, A. (2024). An initialization approach for metaheuristic algorithms by using Gibbs sampling. Mathematics and Computers in Simulation, 225, 586-606. PDF

Toski, M., Cuevas, E., Avila, K., & Perez-Cisneros, M. (2024). Enhancing Bicycle Trajectory Planning in Urban Environments through Complex Network Optimization. Journal of Urban Planning and Development, 150(3), 04024023. PDF

García-Gutiérrez, V., González, A., Cuevas, E., Fausto, F., & Pérez-Cisneros, M. (2024). Detection of COVID-19: A Metaheuristic-Optimized Maximally Stable Extremal Regions Approach. Symmetry, 16(7), 870. PDF

Cuevas, E., Luque, A., Aguirre, N., Navarro, M. A., & Rodríguez, A. (2024). Metaheuristic optimization with dynamic strategy adaptation: An evolutionary game theory approach. Physica A: Statistical Mechanics and its Applications, 645, 129831. PDF

Rivera-Aguilar, B. A., Cuevas, E., Pérez, M., Camarena, O., & Rodríguez, A. (2024). A new histogram equalization technique for contrast enhancement of grayscale images using the differential evolution algorithm. Neural Computing and Applications, 1-17. PDF

Escobar-Cuevas, H., Cuevas, E., Avila, K., & Avalos, O. (2024). An advanced initialization technique for metaheuristic optimization: a fusion of Latin hypercube sampling and evolutionary behaviors. Computational and Applied Mathematics, 43(4), 234. PDF

Ascencio-Piña, C., García-De-Lira, S., Cuevas, E., & Pérez, M. (2024). Image segmentation with Cellular Automata. Heliyon, 10(10). PDF

Pramanik, P., Roy, A., Cuevas, E., Perez-Cisneros, M., & Sarkar, R. (2024). DAU-Net: Dual attention-aided U-Net for segmenting tumor in breast ultrasound images. Plos one, 19(5), e0303670. PDF

Escobar-Cuevas, H., Cuevas, E., Gálvez, J., & Toski, M. (2024). A novel optimization approach based on unstructured evolutionary game theory. Mathematics and Computers in Simulation, 219, 454-472. PDF

Eid, H. F., Cuevas, E., & Mansour, R. F. (2024). Autonomous bonobo optimization algorithm for power allocation in wireless networks. Mathematics and Computers in Simulation, 217, 294-310. PDF

Naskar, G., Mohiuddin, S., Malakar, S., Cuevas, E., & Sarkar, R. (2024). Deepfake detection using deep feature stacking and meta-learning. Heliyon, 10(4). PDF

Escobar-Cuevas, H., Cuevas, E., Gálvez, J., & Avila, K. (2024). A novel hybrid search strategy for evolutionary fuzzy optimization approach. Neural Computing and Applications, 36(6), 2633-2652. PDF

Eid, H., & Cuevas, E. (2024). Enhanced bonobo optimizer for optimizing dynamic photovoltaic models. Computer Science, 25(3). PDF

Cuevas, E., Luque, A., Vega, F., Zaldívar, D., & López, J. (2024). Social influence dynamics for image segmentation: a novel pixel interaction approach. Journal of Computational Social Science, 1-30. PDF

Cuevas, E., Guzmán-Rosales, C., Perez, M., & Sarkar, R. (2024). A graph segmentation method based on compatibility subgraph aggregation. IEEE Access. PDF

González-Sánchez, Ó. A., Zaldívar, D., Cuevas, E., & González-Ortiz, L. J. (2024). Mathematical Optimization Strategy for Effectiveness Profile Estimation in Two-Dose Vaccines and Its Use in Designing Improved Vaccination Strategies Focused on Pandemic Containment. Vaccines, 12(1), 81. PDF

Zarate, O., Zaldívar, D., Cuevas, E., & Perez, M. (2023). Enhancing pneumonia segmentation in lung radiographs: a jellyfish search optimizer approach. Mathematics, 11(20), 4363. PDF

Cuevas, E., Rodríguez, A., Perez, M., Murillo-Olmos, J., Morales-Castañeda, B., Alejo-Reyes, A., & Sarkar, R. (2023). Optimal evaluation of re-opening policies for COVID-19 through the use of metaheuristic schemes. Applied Mathematical Modelling, 121, 506-523. PDF

Mukhopadhyay, S., Hossain, S., Malakar, S., Cuevas, E., & Sarkar, R. (2023). Image contrast improvement through a metaheuristic scheme. Soft Computing, 27(18), 13657-13676. PDF

Cuevas, E., Escobar, H., Sarkar, R., & Eid, H. F. (2023). A new population initialization approach based on Metropolis–Hastings (MH) method. Applied Intelligence, 53(13), 16575-16593. PDF

Alejo-Reyes, A., Mendoza, A., Cuevas, E., & Alcaraz-Rivera, M. (2023). 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. PDF

Gonzalez-Ayala, P., Alejo-Reyes, A., Cuevas, E., & Mendoza, A. (2023). 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. PDF

Corona, G., Maciel-Castillo, O., Morales-Castañeda, J., Gonzalez, A., & Cuevas, E. (2023). A new method to solve rotated template matching using metaheuristic algorithms and the structural similarity index. Mathematics and Computers in Simulation, 206, 130-146. PDF

Haro, E. H., Avalos, O., Camarena, O., & Cuevas, E. (2023). An accurate flexible process planning using an adaptive genetic algorithm. Neural Computing and Applications, 35(9), 6435-6456. PDF

Avila, K., Cuevas, E., Perez, M., & Sarkar, R. (2023). A new metaphor-free metaheuristic approach based on complex networks and Bezier curves. IEEE Access. PDF

Escobar, H., Cuevas, E., Toski, M. I., Ramirez, F. J. C., & Pérez-Cisneros, M. (2023). An Agent-Based Model for Public Security Strategies by Predicting Crime Patterns. IEEE Access, 11, 67070-67085. PDF

Chavarín, Á., Cuevas, E., Avalos, O., Gálvez, J., & Pérez-Cisneros, M. (2023). Contrast enhancement in images by homomorphic filtering and cluster-chaotic optimization. IEEE Access, 11, 73803-73822. PDF

Ayala, E., Cuevas, E., Zaldívar, D., & Pérez, M. (2023). Image segmentation by agent-based pixel homogenization. IEEE Access, 11, 54221-54239. PDF

Gálvez, J., Cuevas, E., Michel, D. E. B., Rodríguez, A., & Pérez-Cisneros, M. A. (2023). Multi-Circle Detection Guided by Multimodal Optimization Scheme. IEEE Access, 11, 47884-47906. PDF

Luque-Chang, A., Cuevas, E., Chavarin, A., & Perez, M. (2023). Agent-based image contrast enhancement algorithm. IEEE Access, 11, 6060-6077. PDF

Banerjee, D., Bhowal, P., Malakar, S., Cuevas, E., Pérez‑Cisneros, M., & Sarkar, R. (2022). Z-transform-based profile matching to develop a learning-free keyword spotting method for handwritten document images. International Journal of Computational Intelligence Systems, 15(1), 93. PDF

Eid, H. F., Mansour, R. F., & Cuevas, E. (2022). A modified variant of coyote optimization algorithm for solving ordinary differential equations and oscillatory mechanical problems. Simulation, 98(12), 1161-1178. PDF

Chattopadhyay, S., Dey, A., Singh, P. K., Oliva, D., Cuevas, E., & Sarkar, R. (2022). MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images. Computers in Biology and Medicine, 150, 106155. PDF

Ganguly, S., Mohiuddin, S., Malakar, S., Cuevas, E., & Sarkar, R. (2022). Visual attention-based deepfake video forgery detection. Pattern Analysis and Applications, 25(4), 981-992. PDF

Rodríguez, A., Cuevas, E., Zaldivar, D., Morales-Castañeda, B., Sarkar, R., & Houssein, E. H. (2022). An agent-based transmission model of COVID-19 for re-opening policy design. Computers in Biology and Medicine, 148, 105847. PDF

Kundu, R., Chattopadhyay, S., Cuevas, E., & Sarkar, R. (2022). AltWOA: Altruistic Whale Optimization Algorithm for feature selection on microarray datasets. Computers in biology and medicine, 144, 105349. PDF

Basu, A., Sheikh, K. H., Cuevas, E., & Sarkar, R. (2022). COVID-19 detection from CT scans using a two-stage framework. Expert Systems with Applications, 193, 116377. PDF

Cuevas, E., Zaldivar, D., & Perez, M. (2022). Metaheuristic schemes and machine learning techniques: A synergistic perspective. Applied Mathematical Modelling, 104, 850-851. PDF

Rafe, V., Mohammady, S., & Cuevas, E. (2022). Using Bayesian optimization algorithm for model-based integration testing. Soft Computing, 26(7), 3503-3525. PDF

Osuna-Enciso, V., Cuevas, E., & Castañeda, B. M. (2022). A diversity metric for population-based metaheuristic algorithms. Information Sciences, 586, 192-208. PDF

Guha, R., Ghosh, S., Ghosh, K. K., Cuevas, E., Perez-Cisneros, M., & Sarkar, R. (2022). Groundwater flow algorithm: A novel hydro-geology based optimization algorithm. IEEE Access, 10, 132193-132211. PDF

Xu, Q., Rocha, A. M. A., Cuevas, E., & Fister Jr, I. (2022). Nature-Inspired Intelligence Methods and Applications. Mathematical Problems in Engineering, 2022. PDF

Chakraborty, A., Ghosh, K. K., De, R., Cuevas, E., & Sarkar, R. (2021). Learning automata based particle swarm optimization for solving class imbalance problem. Applied Soft Computing, 113, 107959. PDF

Cuevas, E., Gálvez, J., Toski, M., & Avila, K. (2021). Evolutionary-Mean shift algorithm for dynamic multimodal function optimization. Applied Soft Computing, 113, 107880. PDF

Rosas-Caro, J. C., García-Vite, P. M., Rodríguez, A., Mendoza, A., Alejo-Reyes, A., Cuevas, E., & Beltran-Carbajal, F. (2021). Differential evolution based algorithm for optimal current ripple cancelation in an unequal interleaved power converter. Mathematics, 9(21), 2755. PDF

Bandyopadhyay, R., Basu, A., Cuevas, E., & Sarkar, R. (2021). Harris Hawks optimisation with Simulated Annealing as a deep feature selection method for screening of COVID-19 CT-scans. Applied Soft Computing, 111, 107698. PDF

Houssein, E. H., Hussain, K., Abualigah, L., Abd Elaziz, M., Alomoush, W., Dhiman, G., ... & Cuevas, E. (2021). An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation. Knowledge-based systems, 229, 107348. PDF

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. PDF

Rodríguez, A., Pérez-Cisneros, M., Rosas-Caro, J. C., Del-Valle-Soto, C., Gálvez, J., & Cuevas, E. (2021). Robust clustering routing method for wireless sensor networks considering the Locust search scheme. Energies, 14(11), 3019. PDF

Rodríguez, A., Camarena, O., Cuevas, E., Aranguren, I., Valdivia-G, A., Morales-Castañeda, B., ... & Pérez-Cisneros, M. (2021). Group-based synchronous-asynchronous grey wolf optimizer. Applied Mathematical Modelling, 93, 226-243. PDF

Cuevas, E., Becerra, H., Escobar, H., Luque-Chang, A., Pérez, M., Eid, H. F., & Jiménez, M. (2021). Search patterns based on trajectories extracted from the response of second-order systems. Applied Sciences, 11(8), 3430. PDF

Zaldivar, D., Cuevas, E., Maciel, O., Valdivia, A., Chavolla, E., & Oliva, D. (2021). Learning classical and metaheuristic optimization techniques by using an educational platform based on LEGO robots. The International Journal of Electrical Engineering & Education, 58(2), 286-305. PDF

Cuevas, E., Gálvez, J., Avalos, O., & Chavarin, Á. (2021). A mean shift segmentation scheme using several pixel characteristics. Computers & Electrical Engineering, 90, 107022. PDF

Abd Elaziz, M., Nabil, N., Moghdani, R., Ewees, A. A., Cuevas, E., & Lu, S. (2021). Multilevel thresholding image segmentation based on improved volleyball premier league algorithm using whale optimization algorithm. Multimedia Tools and Applications, 80, 12435-12468. PDF

Cuevas, E., Becerra, H., & Luque, A. (2021). Anisotropic diffusion filtering through multi-objective optimization. Mathematics and Computers in Simulation, 181, 410-429. PDF

Ibarra-Nuño, C., Rodríguez, A., Alejo-Reyes, A., Cuevas, E., Ramirez, J. M., Rosas-Caro, J. C., & Robles-Campos, H. R. (2021). Optimal Operation of the Voltage-Doubler Boost Converter through an Evolutionary Algorithm. Mathematics, 9(4), 423. PDF

Cuevas, E., Becerra, H., Luque, A., & Abd Elaziz, M. (2021). Fast multi-feature image segmentation. Applied Mathematical Modelling, 90, 742-757. PDF

Luque-Chang, A., Cuevas, E., Pérez-Cisneros, M., Fausto, F., Valdivia-González, A., & Sarkar, R. (2021). Moth swarm algorithm for image contrast enhancement. Knowledge-Based Systems, 212, 106607. PDF

Avalos, O., Cuevas, E., Becerra, H. G., Gálvez, J., Hinojosa, S., & Zaldívar, D. (2021). Kernel recursive least square approach for power system harmonic estimation. Electric Power Components and Systems, 48(16-17), 1708-1721. PDF

del Río, A. H., Aranguren, I., Oliva, D., Elaziz, M. A., & Cuevas, E. (2021). Efficient image segmentation through 2D histograms and an improved owl search algorithm. International Journal of Machine Learning and Cybernetics, 12, 131-150. PDF

Cuevas, E., Gálvez, J., Avila, K., Toski, M., & Rafe, V. (2020). A new metaheuristic approach based on agent systems principles. Journal of Computational Science, 47, 101244. PDF

Rodríguez, A., Alejo-Reyes, A., Cuevas, E., Robles-Campos, H. R., & Rosas-Caro, J. C. (2020). Numerical optimization of switching ripples in the double dual boost converter through the evolutionary algorithm L-SHADE. Mathematics, 8(11), 1911. PDF

Ortega-Sánchez, N., Oliva, D., Cuevas, E., Pérez-Cisneros, M., & Juan, A. A. (2020). An evolutionary approach to improve the halftoning process. Mathematics, 8(9), 1636. PDF

Alejo-Reyes, A., Cuevas, E., Rodríguez, A., Mendoza, A., & Olivares-Benitez, E. (2020). An improved grey wolf optimizer for a supplier selection and order quantity allocation problem. Mathematics, 8(9), 1457. PDF

Rodriguez, A., Cuevas, E., Zaldivar, D., Pérez-Cisneros, M., García-Gil, G., & Morales-Castañeda, B. (2020). An improved clustering method based on biological visual models. Applied Mathematical Modelling, 85, 174-191. PDF

Avalos, O., Cuevas, E., Gálvez, J., Houssein, E. H., & Hussain, K. (2020). Comparison of circular symmetric low-pass digital iir filter design using evolutionary computation techniques. Mathematics, 8(8), 1226. PDF

Rodríguez, A., Alejo-Reyes, A., Cuevas, E., Beltran-Carbajal, F., & Rosas-Caro, J. C. (2020). An evolutionary algorithm-based PWM strategy for a hybrid power converter. Mathematics, 8(8), 1247. PDF

Gálvez, J., Cuevas, E., & Gopal Dhal, K. (2020). A competitive memory paradigm for multimodal optimization driven by clustering and chaos. Mathematics, 8(6), 934. PDF

Cuevas, E. (2020). An agent-based model to evaluate the COVID-19 transmission risks in facilities. Computers in biology and medicine, 121, 103827. PDF

Morales-Castañeda, B., Zaldivar, D., Cuevas, E., Fausto, F., & Rodríguez, A. (2020). A better balance in metaheuristic algorithms: Does it exist?. Swarm and Evolutionary Computation, 54, 100671. PDF

Cuevas, E., Oliva, D., & Osuna, V. (2020). Bio-inspired algorithms and Bio-systems. Mathematical Biosciences and Engineering, 17(3), 2400-2402. PDF

Cuevas, E., Trujillo, A., Navarro, M. A., & Diaz, P. (2020). Comparison of recent metaheuristic algorithms for shape detection in images. International Journal of Computational Intelligence Systems, 13(1), 1059-1071. PDF

Maciel, O., Valdivia, A., Oliva, D., Cuevas, E., Zaldivar, D., & Pérez-Cisneros, M. (2020). A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm. Soft Computing, 24, 8823-8856. PDF

Hinojosa, S., Oliva, D., Cuevas, E., Pajares, G., Zaldivar, D., & Pérez-Cisneros, M. (2020). Reducing overlapped pixels: a multi-objective color thresholding approach. Soft Computing, 24, 6787-6807. PDF

Zaldivar, D., Cuevas, E., Maciel, O., Valdivia, A., Chavolla, E., & Oliva, D. (2021). Learning classical and metaheuristic optimization techniques by using an educational platform based on LEGO robots. The International Journal of Electrical Engineering & Education, 58(2), 286-305. PDF

Maciel C., O., Cuevas, E., Navarro, M.A., Zaldívar, D., Hinojosa, S., Side-Blotched Lizard Algorithm: A polymorphic population approach, Applied Soft Computing Journal, 88,(2020), 106039. PDF

Gálvez, J., Cuevas, E., Becerra, H., Avalos, O., A hybrid optimization approach based on clustering and chaotic sequences, International Journal of Machine Learning and Cybernetics, 11(2), (2020), 359-401. PDF

Fausto, F., Reyna-Orta, A., Cuevas, E., Andrade, Á.G., Perez-Cisneros, M., From ants to whales: metaheuristics for all tastes, Artificial Intelligence Review, 53(1), (2020), 753-810. PDF

Ibrahim, R.A., Elaziz, M.A., Oliva, D., Cuevas, E., Lu, S., An opposition-based social spider optimization for feature selection, Soft Computing, 23(24), (2019), 13547-13567. PDF

Cuevas, E., Rodríguez, A., Valdivia, A., Zaldívar, D., Pérez, M., A hybrid evolutionary approach based on the invasive weed optimization and estimation distribution algorithms, Soft Computing, 23(24), (2019), 13627-13668. PDF

Cuevas, E., Galvez, J. An optimization algorithm guided by a machine learning approach, International Journal of Machine Learning and Cybernetics, 10(11), (2019), 2963-2991. PDF

Morales-Castañeda, B., Zaldívar, D., Cuevas, E., Aranguren, I., Fausto, F., An improved Simulated Annealing algorithm based on ancient metallurgy techniques, Applied Soft Computing Journal, 84, (2019), 105761. PDF

Rodríguez, A., Cuevas, E., Zaldivar, D., Castañeda, L., Clustering with biological visual models, Physica A: Statistical Mechanics and its Applications, 528, (2019), 121505. PDF

Cuevas, E., Díaz-Cortes, M.-A., Mezura-Montes, E., Corner detection of intensity images with cellular neural networks (CNN) and evolutionary techniques, Neurocomputing, 347, (2019), 82-93. PDF

Fausto, F., Cuevas, E., Maciel-Castillo, O., Morales-Castañeda, B., A real-coded optimal sensor deployment scheme for wireless sensor networks based on the social spider optimization algorithm, International Journal of Computational Intelligence Systems 12(2), (2019), 676-696. PDF

Avalos, O., Cuevas, E., Valdivia-González, A., Zaldívar, D., Oliva, D., A comparative study of evolutionary computation techniques for solar cells parameter estimation, Computacion y Sistemas, 23(1), (2019), 231-256. PDF

Díaz Primitivo, Rodríguez Alma, Cuevas Erik, Valdivia Arturo, Zaldívar Daniel, A hybrid method for blood vessel segmentation in images, Biocybernetics and Biomedical Engineering, 39(3), (2019), 814-824. PDF

Jorge Gálvez, Erik Cuevas, Salvador Hinojosa, Omar Avalos, Marco Pérez-Cisneros, A reactive model based on neighborhood consensus for continuous optimization, Expert Systems with Applications, 121, (2019), 115-141. PDF

Cuevas, E., Díaz, P., Avalos, O., Zaldívar, D., Pérez-Cisneros, M., Nonlinear system identification based on ANFIS-Hammerstein model using Gravitational search algorithm, Applied Intelligence, 48(1), (2018), 182–203. PDF

Hinojosa, S., Dhal, K.G., Elaziz, M.A., Oliva, D., Cuevas, E, Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search, Neurocomputing, 321, (2018), 201-215. PDF

Zaldívar, D., Morales, B., Rodríguez, A., Valdivia-G, A., Cuevas, E., Pérez-Cisneros, M. A novel bio-inspired optimization model based on Yellow Saddle Goatfish Behavior, BioSystems, 174, (2018), 1-21. PDF

Hinojosa, S., Avalos, O., Oliva, D., Cuevas, E., Pajares, G., Zaldivar, D., Gálvez, J., Unassisted thresholding based on multi-objective evolutionary algorithms, Knowledge-Based Systems, 159, (2018), 221-232. PDF

Cuevas, E., Enríquez, L., Zaldívar, D., Pérez-Cisneros, M., A selection method for evolutionary algorithms based on the Golden Section, Expert Systems with Applications, 106, (2018), 183-196. PDF

Díaz, P., Pérez-Cisneros, M., Cuevas, E., Camarena, O., Martinez, F.A.F., González, A., A swarm approach for improving voltage profiles and reduce power loss on electrical distribution networks, IEEE Access, (2018), 6,8457499, 49498-49512. PDF

Gálvez, J., Cuevas, E., Avalos, O., Oliva, D., Hinojosa, S., Electromagnetism-like mechanism with collective animal behavior for multimodal optimization, Applied Intelligence, 48(9),(2018), 2580–2612. PDF

Díaz-Cortés, M, Ortega-Sánchez, N, Hinojosa, S., Oliva, D., Cuevas, E., Rojas, R., Demin, A., A multi-level thresholding method for breast thermograms analysis using Dragonfly algorithm, Infrared Physics and Technology, 93, (2018), 346-361. PDF

Cuevas, E., Reyna-Orta, A., Díaz-Cortes, M.-A., A Multimodal Optimization Algorithm Inspired by the States of Matter, Neural Processing Letters, 48(1),(2018), 517-556. PDF

Hinojosa, S., Oliva, D., Cuevas, E., Pajares, G., Avalos, O., Gálvez, J., Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm, Neural Computing and Applications, 29(8), (2018), 319-335. PDF

Díaz, P., Pérez-Cisneros, M., Cuevas, E., Avalos, O., Gálvez, J., Hinojosa, S., Zaldivar, D., An improved crow search algorithm applied to energy problems, Energies, 11(3), (2018), 571. PDF.

Cuevas, E., Zaldívar, D., Pajares, G., Perez-Cisneros, M., Rojas, R., Computational Intelligence in Image Processing 2018, Mathematical Problems in Engineering, 2018, 6952803. PDF

Chang, Erik Cuevas, Fernando Fausto, Daniel Zaldívar, and Marco Pérez, Social Spider Optimization Algorithm: Modifications, Applications, and Perspectives, Mathematical Problems in Engineering, Article ID 6843923, Volume 2018 (2018). PDF

Octavio Camarena, Erik Cuevas, Marco Pérez-Cisneros, Fernando Fausto, Adrián González, and Arturo Valdivia, Ls-II: An Improved Locust Search Algorithm for Solving Optimization Problems, Mathematical Problems in Engineering, Article ID 4148975, Volume 2018 (2018). PDF.

Barocio, E., Regalado, J., Cuevas, E., Zúñiga, P., Torres, P.J.R., Modified bio-inspired optimisation algorithm with a centroid decision making approach for solving a multi-objective optimal power flow problem, IET Generation, Transmission and Distribution 11 (4), (2017), 1012-1022. PDF

Fausto, F., Cuevas, E., Gonzales, A., A new descriptor for image matching based on bionic principles, Pattern Analysis and Applications, 20(4), (2017), 1245–125. PDF

Cuevas, E., Luque, A., Zaldívar, D., Pérez-Cisneros, M., Evolutionary calibration of fractional fuzzy controllers, Applied Intelligence, 47(2), (2017), 291–303. PDF

Diego Oliva, Salvador Hinojosa, Erik Cuevas, Gonzalo Pajares, Omar Avalos, Jorge Gálvez. Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm, Expert Systems with Applications, 79, (2017), 164-180. PDF

Galvez J., Cuevas E., Avalos O., Flower Pollination Algorithm for Multimodal Optimization, International Journal of Computational Intelligence Systems, 10, (2017), 627–646. PDF

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), 92. PDF

Adrián González, Erik Cuevas, Fernando Fausto, Arturo Valdivia Raúl Rojas, A template matching approach based on the behavior of swarms of locust, Applied Intelligence, 47(4), (2017), 1087–1098. PDF

Gurubel, K.J., Osuna-Enciso, V., Coronado-Mendoza, A., Cuevas, E. Optimal control strategy based on neural model of nonlinear systems and evolutionary algorithms for renewable energy production as applied to biofuel generation, Journal of Renewable and Sustainable Energy 9(3), (2017), 033101. PDF

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(7), 1052. PDF

Díaz-Cortés, M.A., Cuevas, E., Gálvez, J., Camarena, O., A new metaheuristic optimization methodology based on fuzzy logic, Applied Soft Computing Journal, 61, (2017) 549-569. PDF

Fausto, F., Cuevas, E., Valdivia, A., González, A., A global optimization algorithm inspired in the behavior of selfish herds, BioSystems, 160, (2017), 39-55. PDF

Oliva, D., Hinojosa, S., Osuna-Enciso, V., Cuevas, E., Pérez-Cisneros, M., Sanchez-Ante, G,. Image segmentation by minimum cross entropy using evolutionary methods, Soft Computing, 1-20, (2017), In press. PDF

Cuevas, E., Gálvez, J., Avalos, O., Parameter estimation for chaotic fractional systems by using the locust search algorithm, Computacion y Sistemas, 21(2), (2017), 369-380. PDF

Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa, Diego Oliva, Marco Pérez-Cisneros, A bio-inspired evolutionary algorithm: A bio-inspired evolutionary algorithm: allostatic optimisation, International Journal of Bio-Inspired Computation, 8(3), (2016), 154 – 169. PDF.

Valentin Osuna-Enciso, Erik Cuevas, Diego Oliva, Virgilio Zúñiga, Marco Perez-Cisneros, and Daniel Zaldivar , A Multiobjective Approach to Homography Estimation, Computational Intelligence and Neuroscience, Volume 2016, Article ID 3629174, 12 pages. PDF

Erik Cuevas, Eduardo Santuario, Daniel Zaldivar & Marco Perez-Cisneros, An improved evolutionary algorithm for reducing the number of function evaluations, Intelligent Automation & Soft Computing, 22(2), (2016), 177-192. PDF

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. PDF

Omar Avalos, Erik Cuevas and Jorge Gálvez. Induction Motor Parameter Identification Using a Gravitational Search Algorithm. Computers 5(2), (2016), 6. PDF

E Cuevas, V Osuna-Enciso, D Oliva. Circle detection on images based on the Clonal Selection Algorithm (CSA), The Imaging Science Journal, 63(1), (2015), 34-44. PDF

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. PDF

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), 7(6), (2015), 402 – 407. PDF

Erik Cuevas, Artificial Bee Colony (ABC) algorithm and its use in digital image processing, Iberoamerican Journal of Artificial Intelligence, 18(55), (2015), 50-68. PDF

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. PDF

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. PDF

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. PDF

Erik Cuevas and Margarita Díaz, A Method for Estimating View Transformations from Image Correspondences Based on the Harmony Search Algorithm, Computational Intelligence and Neuroscience, vol. 2015, Article ID 434263, 15 pages, 2015. PDF

Cuevas, E., Cienfuegos, M. A new algorithm inspired in the behavior of the social-spider for constrained optimization, Expert Systems with Applications, 41 (2), (2014), pp. 412-425. PDF

Ramírez-Ortegón, M.A., Ramírez-Ramírez, L.L., Messaoud, I.B., Märgner, V., Cuevas, E., Rojas, R. A model for the gray-intensity distribution of historical handwritten documents and its application for binarization, International Journal on Document Analysis and Recognition (IJDAR), 17(2), (2014), 139-160. PDF

Cuevas, E., Echavarría, A., Ramírez-Ortegón, M.A. An optimization algorithm inspired by the States of Matter that improves the balance between exploration and exploitation, Applied Intelligence, 40(2) , (2014), 256-272. PDF

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. PDF

Sossa-Azuela H., Rubio E., Santiago R., López A., Peña A., Cuevas E. Alternative formulations to compute the binary shape Euler number, IET Computer Vision 8(3), 2014, 171 – 181. PDF

Marte A. Ramírez-Ortegóna, Lilia L. Ramírez-Ramíreze, Volker Märgner, Ines Ben Messaoud, Erik Cuevas, Raúl Rojas, An analysis of the transition proportion for binarization in handwritten historical documents, Pattern Recognition, 47(8), (2014), 2635–2651. PDF

Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar, Valentín Osuna. A Multilevel Thresholding algorithm using electromagnetism optimization, Neurocomputing, 139, (2014), 357-381. PDF

Diego Oliva, Erik Cuevas, Gonzalo Pajares. Parameter identification of solar cells using artificial bee colony optimization, Energy, 72, (2014), 93-102. PDF

Diego Oliva, Erik Cuevas, Gonzalo Pajares, Daniel Zaldivar. Template Matching using an improved Electromagnetism-Like algorithm, Applied Intelligence, 41(3), (2014), 791-807. PDF.

Cuevas E., Reyna-Orta A. A Cuckoo Search algorithm for multimodal optimization, The Scientific World Journal, Vol 2014, 1-20. PDF

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. PDF

Ramírez-Ortegón, M.A., Märgner, V., Cuevas, E., Rojas, R. An optimization for binarization methods by removing binary artifacts, Pattern Recognition Letters, 34 (11), (2013), 1299-1306. PDF

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. PDF

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), 6374-6384. PDF

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), 6359-6373. PDF

Cuevas, E. Block-matching algorithm based on harmony search optimization for motion estimation, Applied Intelligence, 39 (1), (2013), 165-183. PDF

Cuevas, E., González, M. Multi-circle detection on images inspired by collective animal behaviour, Applied Intelligence, 39 (1), (2013), 01-120. PDF

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. PDF

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. PDF

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), 157-171. PDF

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. PDF

Osuna-Enciso, V., Cuevas, E., Sossa, H. A comparison of nature inspired algorithms for multi-threshold image segmentation, Expert Systems with Applications, 40 (4), (2013), 1213-1219. PDF.

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), 488-498. PDF

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), 3047-3059. PDF

Cuevas, E., González, M. An optimization algorithm for multimodal functions inspired by collective animal behaviour, Soft Computing 17 (3) , (2013), 489-502. PDF

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), 359-376. PDF

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. PDF

Cuevas, E., Zaldivar, D., Perez, M., Sanchez, E.N. LVQ neural networks applied to face segmentation, Intelligent Automation and Soft Computing 15 (3), (2013), 439-450. PDF

Cuevas E., Oliva D. IIR Filter Modeling Using an Algorithm Inspired on Electromagnetism, Ingeniería Investigación y Tecnología, 14(1), (2013),125-138. (In Spanish). PDF

Cuevas E., Ortega N., El algoritmo de búsqueda armónica y sus usos en el procesamiento digital de imágenes, Computacion y Sistemas, 17(4), (2013), 543-560. PDF

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. PDF

Cuevas, E., Oliva, D., Zaldivar, D., Perez-Cisneros, M., Pajares, G. Opposition-based electromagnetism-like for global optimization, International Journal of Innovative Computing, Information and Control, 8 (12) , (2012), 8181-8198. PDF

Cuevas, E., Wario, F., Osuna-Enciso, V., Zaldivar, D., Pérez-Cisneros, M. Fast algorithm for multiple-circle detection on images using learning automata, IET Image Processing 6 (8), (2012), 1124-1135. PDF

Cuevas, E., Sención, F., Zaldivar, D., Pérez-Cisneros, M., Sossa, H. A multi-threshold segmentation approach based on artificial bee colony optimization, Applied Intelligence, 37 (3), (2012), 321-336. PDF

Cuevas, E., Osuna-Enciso, V., Zaldivar, D., Pérez-Cisneros, M., Sossa, H. Multithreshold segmentation based on artificial immune Systems, Mathematical Problems in Engineering 2012 , art. no. 874761. PDF

Cuevas, E., González, M., Zaldivar, D., Pérez-Cisneros, M., García, G. An algorithm for global optimization inspired by collective animal behaviour, Discrete Dynamics in Nature and Society 2012 , art. no. 638275. PDF

Cuevas, E., Wario, F., Zaldivar, D., Pérez-Cisneros, M. Circle detection on images using learning automata, IET Computer Vision 6 (2), (2012), 121-132. PDF

Cuevas, E., Sención-Echauri, F., Zaldivar, D., Pérez-Cisneros, M. Multi-circle detection on images using artificial bee colony (ABC) optimization, Soft Computing 16 (2), (2012), 281-296. PDF

Cuevas, E., Oliva, D., Zaldivar, D., Pérez-Cisneros, M., Sossa, H. Circle detection using electro-magnetism optimization, Information Sciences 182 (1), (2012), 40-55. PDF

Cuevas, E., Osuna-Enciso, V., Wario, F., Zaldívar, D., Pérez-Cisneros, M. Automatic multiple circle detection based on artificial immune systems, Expert Systems with Applications 39 (1), (2012), 713-722. PDF

Cuevas, E., Zaldivar, D., Pérez-Cisneros, M., Sánchez, E., Ramírez-Ortegón, M. Robust fuzzy corner detector, Intelligent Automation and Soft Computing, 17 (4), (2011), 415-429. PDF

Ramírez-Ortegón, M.A., Duéñez-Guzmán, E.A., Rojas, R., Cuevas, E. Unsupervised measures for parameter selection of binarization algorithms, Pattern Recognition 44 (3), (2011), 491-502. PDF

Cuevas, E., Zaldivar, D., Pérez-Cisneros, M., Ramírez-Ortegón, M, Circle detection using discrete differential evolution optimization, Pattern Analysis and Applications, 14 (1), (2011), 93-107. PDF

Cuevas, E., Zaldivar, D., Pérez-Cisneros, M., Ramirez-Ortegon, M. Hands-on experiments on intelligent behaviour for mobile robots, International Journal of Electrical Engineering Education 48 (1), (2011), 66-78. PDF

Cuevas, E., Zaldivar, D., Pérez-Cisneros, M. Seeking multi-thresholds for image segmentation with Learning Automata, Machine Vision and Applications, 22 (5), (2011), 805-818. PDF

Sossa H., Cuevas E, Zaldivar D. Alternative Way to Compute the Euler Number of a Binary Image, Journal of Applied Research and Technology, 9(3), (2011), 335-341. PDF

Cuevas E., Osuna-Enciso V., Oliva D., Wario F. Circle Detection Using an Electromagnetism-Inspired Algorithm, Ingeniería Investigación y Tecnología., 12(4), (2011), 469-485. (In Spanish). PDF

Cuevas, E., Zaldivar, D., Pérez-Cisneros, M., Ramírez-Ortegón, M. Polynomial trajectory algorithm for a biped robot, International Journal of Robotics and Automation 25 (4), (2010), 294-303. PDF

Ramírez-Ortegón, M.A., Tapia, E., Rojas, R., Cuevas, E. Transition thresholds and transition operators for binarization and edge detection, Pattern Recognition 43 (10), (2010), 3243-3254. PDF

Cuevas, E., Zaldivar, D., Pérez-Cisneros, M. Low-cost commercial Lego™ platform for mobile robotics, International Journal of Electrical Engineering Education 47 (2), (2010), 132-150. PDF.

Ramírez-Ortegón, M.A., Tapia, E., Ramírez-Ramírez, L.L., Rojas, R., Cuevas, E. Transition pixel: A concept for binarization based on edge detection and gray-intensity histograms, Pattern Recognition 43 (4), (2010), 1233-1243. PDF

Sossa H., Cuevas E, Zaldivar D. Computation of the Euler Number of a Binary Image Composed of Hexagonal Cells, Journal of Applied Research and Technology, 8(3), (2010), 1665-6423. PDF

Cuevas E., Osuna-Enciso V., Oliva D., Wario F., Zaldivar D. Segmentación y detección de glóbulos blancos en imágenes usando Sistemas Inmunes Artificiales, Revista Mexicana de Ingeniería Biomédica 31(2), (2010), 119-134. (In Spanish). PDF

Cuevas E., Zaldivar D., Perez-Cisneros M., Tapia E. Generation and Optimization of Fuzzy Controllers Using the NEFCON Model, Computacion y Sistemas 14(2), (2010), 1405-5546. (In Spanish). PDF

Cuevas, E., Zaldivar, D., Pérez-Cisneros, M. A novel multi-threshold segmentation approach based on differential evolution optimization, Expert Systems with Applications 37 (7), (2010), 5265-5271. PDF

Cuevas, E., Zaldivar, D., Rojas, R. Neurofuzzy prediction for gaze control, Canadian Journal of Electrical and Computer Engineering 34 (1), (2009), 15-20. PDF