Itzel Aranguren

According to our database, Itzel Aranguren authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution.

Javier Galvis-Chacón, Luis A. Beltran, Omar Alvarez, Diego Oliva, Itzel Aranguren, Arturo Valdivia-Gonzalez, Mario A. Navarro, Seyed Jalaleddin Mousavirad

Proceedings of the Applications of Evolutionary Computation - 29th European Conference, 2026

2025

Enhancing image thresholding segmentation with a novel hybrid battle royale optimization algorithm.

Ángel Casas-Ordaz, Itzel Aranguren, Diego Oliva, Seyed Jalaleddin Mousavirad, Marco Pérez-Cisneros

Multim. Tools Appl., May, 2025

Multi-population estimation of distribution algorithm for multilevel thresholding in image segmentation.

Jorge Ramos-Frutos, Diego Oliva, Israel Miguel-Andrés, Ángel Casas-Ordaz, Oscar Ramos-Soto, Itzel Aranguren, Saúl Zapotecas Martínez

Neurocomputing, 2025

Addressing Limitations and Inaccuracy of Diversity Metrics in Evolutionary Algorithms with an Accurate Dimension-Wise Diversity.

Erick Rodríguez-Esparza, Bernardo Morales-Castañeda, Itzel Aranguren, Arturo Valdivia, Mario A. Navarro, Diego Oliva

Proceedings of the IEEE Congress on Evolutionary Computation, 2025

2024

Adaptability and Efficiency in Population Management: A multi-population CMA-ES Strategy for High-Dimensional Optimization.

Bernardo Morales-Castañeda, Erick Rodríguez-Esparza, Diego Oliva, Mario A. Navarro, Itzel Aranguren, Ángel Casas-Ordaz, Luis A. Beltran, Saúl Zapotecas Martínez

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 28th International Conference KES-2024, 2024

IDEL: An Improved Differential Evolution with Lissajous Mutation.

Ángel Casas-Ordaz, Arturo Valdivia, Eduardo H. Haro, Diego Oliva, Luis A. Beltran, Itzel Aranguren, Erick Rodríguez-Esparza, Diego Campos-Peña

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

Improved Golden Sine II in Synergy with Non-monopolized Local Search Strategy.

Arturo Valdivia, Itzel Aranguren, Jorge Ramos-Frutos, Ángel Casas-Ordaz, Diego Oliva, Saúl Zapotecas Martínez

Proceedings of the Metaheuristics - 15th International Conference, 2024

2022

Digital image thresholding by using a lateral inhibition 2D histogram and a Mutated Electromagnetic Field Optimization.

Itzel Aranguren, Arturo Valdivia, Marco Antonio Pérez Cisneros, Diego Oliva, Valentín Osuna-Enciso

Multim. Tools Appl., 2022

An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images.

Angel Gaspar, Diego Oliva, Salvador Hinojosa, Itzel Aranguren, Daniel Zaldivar

Appl. Soft Comput., 2022

Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms.

Mario A. Navarro, Alfonso Ramos-Michel, Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Itzel Aranguren, Arturo Valdivia, Diego Oliva, Seyed Jalaleddin Mousavirad

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms.

Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Mario A. Navarro, Itzel Aranguren, Arturo Valdivia, Alfonso Ramos-Michel, Diego Oliva, Salvador Hinojosa

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Efficient image segmentation through 2D histograms and an improved owl search algorithm.

Andrea H. del Río, Itzel Aranguren, Diego Oliva, Mohamed E. Abd Elaziz, Erik Cuevas

Int. J. Mach. Learn. Cybern., 2021

Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm.

Itzel Aranguren, Arturo Valdivia, Bernardo Morales-Castañeda, Diego Oliva, Mohamed E. Abd Elaziz, Marco Antonio Pérez Cisneros

Biomed. Signal Process. Control., 2021

2019

An improved Simulated Annealing algorithm based on ancient metallurgy techniques.

Bernardo Morales-Castañeda, Daniel Zaldivar, Erik Cuevas, Oscar Maciel-Castillo, Itzel Aranguren, Fernando Fausto

Appl. Soft Comput., 2019

2018

Autonomous Particles Groups for Synchronous-Asynchronous Particle Swarm Optimization.

Arturo Valdivia-Gonzalez, Itzel N. Aranguren-Navarro

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018