Circle detection using electro-magnetism optimization. - Erik Cuevas; Diego Oliva 001; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros; Humberto Sossa (Inf. Sci., 2012)

White Blood Cell Segmentation by Circle Detection Using Electromagnetism-Like Optimization. - Erik Cuevas; Diego Oliva 001; Margarita Díaz; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros; Gonzalo Pajares (Comput. Math. Methods Medicine, 2013)

Block-matching algorithm based on differential evolution for motion estimation. - Erik Cuevas; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros; Diego Oliva 001 (Eng. Appl. Artif. Intell., 2013)

Multilevel Thresholding Segmentation Based on Harmony Search Optimization. - Diego Oliva 001; Erik Cuevas; Gonzalo Pajares; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (J. Appl. Math., 2013)

Circle Detection Algorithm Based on Electromagnetism-Like Optimization. - Erik Cuevas; Diego Oliva 001; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros; Raúl Rojas 001 (Handbook of Optimization, 2013)

Template matching using an improved electromagnetism-like algorithm. - Diego Oliva 001; Erik Valdemar Cuevas Jiménez; Gonzalo Pajares; Daniel Zaldivar 001 (Appl. Intell., 2014)

Opposition Based ElectromagnetismLike for Global Optimization. - Erik Cuevas; Diego Oliva 001; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros; Gonzalo Pajares (CoRR, 2014)

A Multilevel Thresholding algorithm using electromagnetism optimization. - Diego Oliva 001; Erik Cuevas; Gonzalo Pajares; Daniel Zaldivar 001; Valentín Osuna-Enciso (Neurocomputing, 2014)

Improving segmentation velocity using an evolutionary method. - Diego Oliva 001; Valentín Osuna-Enciso; Erik Valdemar Cuevas Jiménez; Gonzalo Pajares; Marco Antonio Pérez Cisneros; Daniel Zaldivar 001 (Expert Syst. Appl., 2015)

A Multiobjective Approach to Homography Estimation. - Valentín Osuna-Enciso; Erik Cuevas; Diego Oliva 001; Virgilio Zúñiga; Marco Antonio Pérez Cisneros; Daniel Zaldivar 001 (Comput. Intell. Neurosci., 2016)

A bio-inspired evolutionary algorithm: allostatic optimisation. - Valentín Osuna-Enciso; Erik Cuevas; Diego Oliva 001; Humberto Sossa; Marco Antonio Pérez Cisneros (Int. J. Bio Inspired Comput., 2016)

Advances of Evolutionary Computation: Methods and Operators - Erik Cuevas; Margarita-Arimatea Díaz-Cortés; Diego Alberto Oliva Navarro (Springer, 2016)

A Hybrid Method of Sine Cosine Algorithm and Differential Evolution for Feature Selection. - Mohamed E. Abd Elaziz; Ahmed A. Ewees; Diego Oliva 001; Pengfei Duan 005; Shengwu Xiong 001 (ICONIP (5), 2017)

Feature Selection Based on Improved Runner-Root Algorithm Using Chaotic Singer Map and Opposition-Based Learning. - Rehab Ali Ibrahim; Diego Oliva 001; Ahmed A. Ewees; Songfeng Lu (ICONIP (5), 2017)

An improved Opposition-Based Sine Cosine Algorithm for global optimization. - Mohamed Abd El-Aziz 001; Diego Oliva 001; Shengwu Xiong 001 (Expert Syst. Appl., 2017)

Cross entropy based thresholding for magnetic resonance brain images using Crow Search Algorithm. - Diego Oliva 001; Salvador Hinojosa; Erik Cuevas; Gonzalo Pajares; Omar Avalos; Jorge Gálvez (Expert Syst. Appl., 2017)

Modelo innovador para un aparador comercial usando un algoritmo competitivo imperialista. - Yuliet Oliva-Romero; Alberto Ochoa-Zezzatti; Ana Marcela-Herrera; Diego Alberto Oliva Navarro (Res. Comput. Sci., 2017)

Advances and Applications of Optimised Algorithms in Image Processing - Diego Oliva 001; Erik Cuevas (Springer, 2017)

Evolutionary Computation Techniques: A Comparative Perspective - Erik Cuevas; Valentín Osuna-Enciso; Diego Oliva 001 (Springer, 2017)

Real-time video thresholding using evolutionary techniques and cross entropy. - Salvador Hinojosa; Diego Oliva 001; Erik Cuevas; Marco Antonio Pérez Cisneros; Gonzalo Pajares (EAIS, 2018)

Design and Implementation of an IoT-Based Háptical Interface Implemented by Memetic Algorithms to Improve Competitiveness in an Industry 4.0 Model for the Manufacturing Sector. - Roberto Contreras; Alberto Ochoa 002; Edgar Cossio; Vicente García 001; Diego Oliva 001; Raul Torres (IBICA, 2018)

Remote sensing imagery segmentation based on multi-objective optimization algorithms. - Salvador Hinojosa; Omar Avalos; Jorge Gálvez; Diego Oliva 001; Erik Cuevas; Marco Antonio Pérez Cisneros (LA-CCI, 2018)

Smart traffic management to support people with color blindness in a Smart City. - Alberto Ochoa Ortíz; Diego Oliva 001 (LA-CCI, 2018)

Electromagnetism-like mechanism with collective animal behavior for multimodal optimization. - Jorge Gálvez; Erik Cuevas; Omar Avalos; Diego Oliva 001; Salvador Hinojosa (Appl. Intell., 2018)

Offshore Wind Farm Layout Optimization via Differential Evolution. - Valentín Osuna-Enciso; José Israel Espinoza Haro; Diego Oliva 001; Irán Fernando Hernández Ahuactzi (Computación y Sistemas, 2018)

ASCA-PSO: Adaptive sine cosine optimization algorithm integrated with particle swarm for pairwise local sequence alignment. - Mohamed Issa; Aboul Ella Hassanien; Diego Oliva 001; Ahmed Helmi 001; Ibrahim Ziedan; Ahmed Mansour Alzohairy (Expert Syst. Appl., 2018)

Smart City Visualization Tool for the Open Data Georeferenced Analysis Utilizing Machine Learning. - Elsa Estrada; Ma. del Rocio Boone Rojas; Carlos Alberto Ochoa Ortíz Zezzatti; María Beatríz Bernábe-Loranca; Diego Oliva 001; Victor M. Larios-Rosillo (Int. J. Comb. Optim. Probl. Informatics, 2018)

Entropy-based imagery segmentation for breast histology using the Stochastic Fractal Search. - Salvador Hinojosa; Krishna Gopal Dhal; Mohamed E. Abd Elaziz; Diego Oliva 001; Erik Cuevas (Neurocomputing, 2018)

Image segmentation via multilevel thresholding using hybrid optimization algorithms. - Ahmed A. Ewees; Mohamed E. Abd Elaziz; Diego Oliva 001 (J. Electronic Imaging, 2018)

Unassisted thresholding based on multi-objective evolutionary algorithms. - Salvador Hinojosa; Omar Avalos; Diego Oliva 001; Erik Cuevas; Gonzalo Pajares; Daniel Zaldivar 001; Jorge Gálvez (Knowl. Based Syst., 2018)

Context based image segmentation using antlion optimization and sine cosine algorithm. - Diego Oliva 001; Salvador Hinojosa; Mohamed Abd El-Aziz 001; Noé Ortega-Sánchez (Multim. Tools Appl., 2018)

Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. - Salvador Hinojosa; Diego Oliva 001; Erik Cuevas; Gonzalo Pajares; Omar Avalos; Jorge Gálvez (Neural Comput. Appl., 2018)

Correction to: Improving multi-criterion optimization with chaos: a novel Multi-Objective Chaotic Crow Search Algorithm. - Salvador Hinojosa; Diego Oliva 001; Erik Cuevas; Gonzalo Pajares; Omar Avalos; Jorge Gálvez (Neural Comput. Appl., 2018)

On Updating Probabilistic Graphical Models in Bayesian Optimisation Algorithm. - Mohamed El Yafrani; Marcella Scoczynski Ribeiro Martins; Myriam R. B. S. Delgado; Ricardo Lüders; Inkyung Sung; Markus Wagner 007; Diego Oliva 001 (BRACIS, 2019)

A Bayesian based Hyper-Heuristic approach for global optimization. - Diego Oliva 001; Marcella S. R. Martins (CEC, 2019)

Improving the estimation of parameters in induction motors using an evolutionary computation algorithm. - Diego Oliva 001; Salvador Hinojosa; Marcella S. R. Martins; Erick Rodríguez-Esparza; Noé Ortega-Sánchez; Marco Antonio Pérez Cisneros (LA-CCI, 2019)

Multilevel segmentation for automatic detection of malignant masses in digital mammograms based on threshold comparison. - Erick Rodríguez-Esparza; Laura A. Zanella-Calzada; Diego Oliva 001; Salvador Hinojosa; Marco Antonio Pérez Cisneros (LA-CCI, 2019)

Improved Moth-Flame Optimization Based on Opposition-Based Learning for Feature Selection. - Mohamed E. Abd Elaziz; Songfeng Lu; Diego Oliva 001; Mohammed El-Abd (SSCI, 2019)

A Comparative Study of Evolutionary Computation Techniques for Solar Cells Parameter Estimation. - Omar Avalos; Erik Valdemar Cuevas Jiménez; Arturo Valdivia-Gonzalez; Jorge Gálvez; Salvador Hinojosa; Daniel Zaldivar 001; Diego Oliva 001 (Computación y Sistemas, 2019)

An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural. - Ahmed M. Anter; Aboul Ella Hassenian; Diego Oliva 001 (Expert Syst. Appl., 2019)

Multi-level thresholding-based grey scale image segmentation using multi-objective multi-verse optimizer. - Mohamed E. Abd Elaziz; Diego Oliva 001; Ahmed A. Ewees; Shengwu Xiong 001 (Expert Syst. Appl., 2019)

Improved salp swarm algorithm based on particle swarm optimization for feature selection. - Rehab Ali Ibrahim; Ahmed A. Ewees; Diego Oliva 001; Mohamed Abd El Aziz 001; Songfeng Lu (J. Ambient Intell. Humaniz. Comput., 2019)

Aspectos innovadores de realidad virtual y sensores cinéticos para una mejora significativa utilizando el algoritmo de Fireworks para un juego Wii de un deporte colaborativo para una sociedad en una Smart City. - Alberto Ochoa 002; César Velázquez; Juan Hernández 002; Silvia Husted; Diego Oliva 001; Anahí Solis; Héctor Herrera; José Mejía 001; Saúl González; Edna Cruz-Flores (Res. Comput. Sci., 2019)

Hybrid Grasshopper Optimization Algorithm and Differential Evolution for Multilevel Satellite Image Segmentation. - Heming Jia; Chunbo Lang; Diego Oliva 001; Wenlong Song; Xiaoxu Peng (Remote. Sens., 2019)

Dynamic Harris Hawks Optimization with Mutation Mechanism for Satellite Image Segmentation. - Heming Jia; Chunbo Lang; Diego Oliva 001; Wenlong Song; Xiaoxu Peng (Remote. Sens., 2019)

Masi Entropy for Satellite Color Image Segmentation Using Tournament-Based Lévy Multiverse Optimization Algorithm. - Heming Jia; Xiaoxu Peng; Wenlong Song; Diego Oliva 001; Chunbo Lang; Yao Li (Remote. Sens., 2019)

A multi-objective approach to weather radar network architecture. - Redouane Boudjemaa; Diego Oliva 001 (Soft Comput., 2019)

An opposition-based social spider optimization for feature selection. - Rehab Ali Ibrahim; Mohamed Abd El-Aziz 001; Diego Oliva 001; Erik Cuevas; Songfeng Lu (Soft Comput., 2019)

Image segmentation by minimum cross entropy using evolutionary methods. - Diego Oliva 001; Salvador Hinojosa; Valentín Osuna-Enciso; Erik Cuevas; Marco Antonio Pérez Cisneros; Gildardo Sánchez-Ante (Soft Comput., 2019)

Multilevel thresholding by fuzzy type II sets using evolutionary algorithms. - Diego Oliva 001; Sayan Nag; Mohamed E. Abd Elaziz; Uddalok Sarkar; Salvador Hinojosa (Swarm Evol. Comput., 2019)

Metaheuristic Algorithms for Image Segmentation: Theory and Applications - Diego Oliva 001; Mohamed Abd El-Aziz 001; Salvador Hinojosa (Springer, 2019)

Machine Learning for Apple Fruit Diseases Classification System. - Atrab A. Abd El-aziz; Ashraf Darwish; Diego Oliva 001; Aboul Ella Hassanien (AICV, 2020)

An Artificial Intelligence System for Apple Fruit Disease Classification Based on Support Vector Machine and Cockroach Swarm Optimization. - Mohamed A. El-Dosuky; Diego Oliva 001; Aboul Ella Hassanien (AICV, 2020)

Use of Deep Learning for Bird Detection to Reduction of Collateral Damage in Fruit Fields. - Humberto Garcia; Alberto Ochoa-Zezzatti; Abraham Martínez-Retamoza; Gilberto Ochoa; Lina Maria Aguilar-Lobo; Diego Oliva 001; José Mejía 001 (AICV, 2020)

Balancing the Influence of Evolutionary Operators for Global optimization. - Diego Oliva 001; Erick Rodríguez-Esparza; Marcella S. R. Martins; Mohamed E. Abd Elaziz; Salvador Hinojosa; Ahmed A. Ewees; Songfeng Lu (CEC, 2020)

A Competitive Swarm Algorithm for Image Segmentation Guided by Opposite Fuzzy Entropy. - Mohamed E. Abd Elaziz; Ahmed A. Ewees; Dalia Yousri; Diego Oliva 001; Songfeng Lu; Erik Cuevas (FUZZ-IEEE, 2020)

Sunspot behavior forecast using neural networks approaches. - Sthefanie Monica Premebida; Denise Pechebovicz; Thiago Camargo; Henrique Nazário; Vinicios Soares; Virgínia H. V. Baroncini; Erikson Freitas de Morais; Hugo Siqueira 001; Diego Oliva 001; Marcella S. R. Martins (ICIT, 2020)

Automatic detection and classification of abnormal tissues on digital mammograms based on a bag-of-visual-words approach. - Erick Rodríguez-Esparza; Laura A. Zanella-Calzada; Diego Oliva 001; Marco Pérez-Cisneros (Computer-Aided Diagnosis, 2020)

An Improved Grasshopper Optimization Algorithm Based Echo State Network for Predicting Faults in Airplane Engines. - Abubakar Bala; Idris Ismail; Rosdiazli Ibrahim; Sadiq M. Sait; Diego Oliva 001 (IEEE Access, 2020)

An improved runner-root algorithm for solving feature selection problems based on rough sets and neighborhood rough sets. - Rehab Ali Ibrahim; Mohamed Abd El Aziz 001; Diego Oliva 001; Songfeng Lu (Appl. Soft Comput., 2020)

Combining information from thresholding techniques through an evolutionary Bayesian network algorithm. - Diego Oliva 001; Marcella S. R. Martins; Valentín Osuna-Enciso; Erikson Freitas de Morais (Appl. Soft Comput., 2020)

A novel hybrid Harris hawks optimization and support vector machines for drug design and discovery. - Essam H. Houssein; Mosa E. Hosney; Diego Oliva 001; Waleed M. Mohamed; M. Hassaballah 001 (Comput. Chem. Eng., 2020)

Multi-Level Image Thresholding Based on Modified Spherical Search Optimizer and Fuzzy Entropy. - Husein S. Naji Alwerfali; Mohammed Abdulaziz Aide Al-qaness; Mohamed E. Abd Elaziz; Ahmed A. Ewees; Diego Oliva 001; Songfeng Lu (Entropy, 2020)

Metaheuristics in the Optimization of Cryptographic Boolean Functions. - Isaac López-López; Guillermo Sosa-Gómez; Carlos Segura; Diego Oliva 001; Omar Rojas (Entropy, 2020)

Hyper-heuristic method for multilevel thresholding image segmentation. - Mohamed E. Abd Elaziz; Ahmed A. Ewees; Diego Oliva 001 (Expert Syst. Appl., 2020)

An efficient Harris hawks-inspired image segmentation method. - Erick Rodríguez-Esparza; Laura A. Zanella-Calzada; Diego Oliva 001; Ali Asghar Heidari; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros; Loke Kok Foong (Expert Syst. Appl., 2020)

Fractional Lévy flight bat algorithm for global optimisation. - Redouane Boudjemaa; Diego Oliva 001; Fatima Ouaar (Int. J. Bio Inspired Comput., 2020)

Parameter identification of two dimensional digital filters using electro-magnetism optimization. - Mohamed Elhoseny; Diego Oliva 001; Valentín Osuna-Enciso; Aboul Ella Hassanien; Gunasekaran Manogaran (Multim. Tools Appl., 2020)

An enhanced sitting-sizing scheme for shunt capacitors in radial distribution systems using improved atom search optimization. - Rizk Masoud Rizk-Allah; Aboul Ella Hassanien; Diego Oliva 001 (Neural Comput. Appl., 2020)

Forecast Model Update Based on a Real-Time Data Processing Lambda Architecture for Estimating Partial Discharges in Hydrogenerator. - Fabio Henrique Pereira; Francisco Elânio Bezerra; Diego Oliva 001; Gilberto Francisco Martha de Souza; Ivan Eduardo Chabu; Josemir Coelho Santos; Shigueru Nagao Junior; Sílvio Ikuyo Nabeta (Sensors, 2020)

Improving image thresholding by the type II fuzzy entropy and a hybrid optimization algorithm. - Mohamed E. Abd Elaziz; Uddalok Sarkar; Sayan Nag; Salvador Hinojosa; Diego Oliva 001 (Soft Comput., 2020)

Reducing overlapped pixels: a multi-objective color thresholding approach. - Salvador Hinojosa; Diego Oliva 001; Erik Cuevas; Gonzalo Pajares; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (Soft Comput., 2020)

A novel hybrid metaheuristic optimization method: hypercube natural aggregation algorithm. - Oscar Maciel-Castillo; Arturo Valdivia; Diego Oliva 001; Erik Cuevas; Daniel Zaldivar 001; Marco Antonio Pérez Cisneros (Soft Comput., 2020)

An improved brainstorm optimization using chaotic opposite-based learning with disruption operator for global optimization and feature selection. - Diego Oliva 001; Mohamed E. Abd Elaziz (Soft Comput., 2020)

Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. - Seyed Jalaleddin Mousavirad; Diego Oliva 001; Salvador Hinojosa; Gerald Schaefer (CEC, 2021)

RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin; Diego Oliva 001 (EvoApplications, 2021)

A selection hyperheuristic guided by Thompson sampling for numerical optimization. - Marcella Scoczynski Ribeiro Martins; Diego Oliva 001; Erick Rodríguez-Esparza; Myriam Regattieri Delgado; Ricardo Lüders; Mohamed El Yafrani; Luiz Ledo; Mohamed E. Abd Elaziz; Marco Antonio Pérez Cisneros (GECCO Companion, 2021)

HCS-BBD: an effective population-based approach for multi-level thresholding. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Diego Oliva 001; Salvador Hinojosa (GECCO Companion, 2021)

HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin; Diego Oliva 001; Mahshid Helali Moghadam; Mehrdad Saadatmand (SSCI, 2021)

Gradient-Based Optimizer for Parameter Extraction in Photovoltaic Models. - Alaa A. K. Ismaeel; Essam H. Houssein; Diego Oliva 001; Mokhtar Said (IEEE Access, 2021)

AFCM-LSMA: New intelligent model based on Lévy slime mould algorithm and adaptive fuzzy C-means for identification of COVID-19 infection from chest X-ray images. - Ahmed M. Anter; Diego Oliva 001; Anuradha D. Thakare; Zhiguo Zhang 001 (Adv. Eng. Informatics, 2021)

Quantum marine predators algorithm for addressing multilevel image segmentation. - Mohamed E. Abd Elaziz; Davood Mohammadi; Diego Oliva 001; Khodakaram Salimifard (Appl. Soft Comput., 2021)

COVID-19 X-ray images classification based on enhanced fractional-order cuckoo search optimizer using heavy-tailed distributions. - Dalia Yousri; Mohamed Abd El Aziz 001; Laith Mohammad Abualigah; Diego Oliva 001; Mohammed Abdulaziz Aide Al-qaness; Ahmed A. Ewees (Appl. Soft Comput., 2021)

Improving the segmentation of magnetic resonance brain images using the LSHADE optimization algorithm. - Itzel Aranguren; Arturo Valdivia; Bernardo Morales-Castañeda; Diego Oliva 001; Mohamed E. Abd Elaziz; Marco Antonio Pérez Cisneros (Biomed. Signal Process. Control., 2021)

Design and robustness analysis of an Automatic Voltage Regulator system controller by using Equilibrium Optimizer algorithm. - Mihailo Micev; Martin P. Calasan; Diego Oliva 001 (Comput. Electr. Eng., 2021)

An efficient retinal blood vessel segmentation in eye fundus images by using optimized top-hat and homomorphic filtering. - Oscar Ramos-Soto; Erick Rodríguez-Esparza; Sandra E. Balderas-Mata; Diego Oliva 001; Aboul Ella Hassanien; Ratheesh Kumar Meleppat; Robert J. Zawadzki (Comput. Methods Programs Biomed., 2021)

A new multi-objective optimization algorithm combined with opposition-based learning. - Ahmed A. Ewees; Mohamed E. Abd Elaziz; Diego Oliva 001 (Expert Syst. Appl., 2021)

A novel Black Widow Optimization algorithm for multilevel thresholding image segmentation. - Essam H. Houssein; Bahaa El-din Helmy; Diego Oliva 001; Ahmed A. Elngar; Hassan Shaban (Expert Syst. Appl., 2021)

Opposition-based moth swarm algorithm. - Diego Oliva 001; Sara Esquivel-Torres; Salvador Hinojosa; Marco Antonio Pérez Cisneros; Valentín Osuna-Enciso; Noé Ortega-Sánchez; Gaurav Dhiman 001; Ali Asghar Heidari (Expert Syst. Appl., 2021)

Ant colony optimization with horizontal and vertical crossover search: Fundamental visions for multi-threshold image segmentation. - Dong Zhao 006; Lei Liu 048; Fanhua Yu; Ali Asghar Heidari; Mingjing Wang; Diego Oliva 001; Khan Muhammad 001; Huiling Chen 001 (Expert Syst. Appl., 2021)

Segmentation of brain MRI using an altruistic Harris Hawks' Optimization algorithm. - Rajarshi Bandyopadhyay; Rohit Kundu; Diego Oliva 001; Ram Sarkar (Knowl. Based Syst., 2021)

BEPO: A novel binary emperor penguin optimizer for automatic feature selection. - Gaurav Dhiman 001; Diego Oliva 001; Amandeep Kaur; Krishna Kant Singh; S. Vimal 001; Ashutosh Sharma 004; Korhan Cengiz (Knowl. Based Syst., 2021)

Efficient image segmentation through 2D histograms and an improved owl search algorithm. - Andrea H. del Río; Itzel Aranguren; Diego Oliva 001; Mohamed E. Abd Elaziz; Erik Cuevas (Int. J. Mach. Learn. Cybern., 2021)

Saving computational budget in Bayesian network-based evolutionary algorithms. - Marcella Scoczynski Ribeiro Martins; Myriam R. B. S. Delgado; Ricardo Lüders; Diego Oliva 001; Markus Wagner 007; Inkyung Sung; Mohamed El Yafrani (Nat. Comput., 2021)

An innovative waste management system in a smart city under stochastic optimization using vehicle routing problem. - Navid Akbarpour; Seyyed Amir Hossein Salehi Amiri; Mostafa Hajiaghaei-Keshteli; Diego Oliva 001 (Soft Comput., 2021)

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 001; Salvador Hinojosa (CEC, 2022)

An Improved DE Algorithm to Optimise the Learning Process of a BERT-based Plagiarism Detection Model. - Seyed Vahid Moravvej; Seyed Jalaleddin Mousavirad; Diego Oliva 001; Gerald Schaefer; Zahra Sobhaninia (CEC, 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 001; Seyed Jalaleddin Mousavirad (CEC, 2022)

RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation. - Seyed Jalaleddin Mousavirad; Mahshid Helali Moghadam; Mehrdad Saadatmand; Ripon K. Chakrabortty; Gerald Schaefer; Diego Oliva 001 (EvoApplications, 2022)

Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. - Mario A. Navarro; Alfonso Ramos-Michel; Angel Gaspar; Diego Oliva 001; Salvador Hinojosa; Seyed Jalaleddin Mousavirad; Marco Antonio Pérez Cisneros (EvoApplications, 2022)

S-shaped and V-shaped gaining-sharing knowledge-based algorithm for feature selection. - Prachi Agrawal; Talari Ganesh; Diego Oliva 001; Ali Wagdy Mohamed (Appl. Intell., 2022)

An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images. - Angel Gaspar; Diego Oliva 001; Salvador Hinojosa; Itzel Aranguren; Daniel Zaldivar 001 (Appl. Soft Comput., 2022)

An efficient multi-thresholding based COVID-19 CT images segmentation approach using an improved equilibrium optimizer. - Essam H. Houssein; Bahaa El-din Helmy; Diego Oliva 001; Pradeep Jangir; M. Premkumar 001; Ahmed A. Elngar; Hassan Shaban (Biomed. Signal Process. Control., 2022)

Breast cancer detection from thermal images using a Grunwald-Letnikov-aided Dragonfly algorithm-based deep feature selection method. - Somnath Chatterjee; Shreya Biswas; Arindam Majee; Shibaprasad Sen; Diego Oliva 001; Ram Sarkar (Comput. Biol. Medicine, 2022)

MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images. - Soham Chattopadhyay; Arijit Dey; Pawan Kumar Singh 001; Diego Oliva 001; Erik Cuevas; Ram Sarkar (Comput. Biol. Medicine, 2022)

BLeafNet: A Bonferroni mean operator based fusion of CNN models for plant identification using leaf image classification. - Shreyan Ganguly; Pratik Bhowal; Diego Oliva 001; Ram Sarkar (Ecol. Informatics, 2022)

A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation. - Seyed Jalaleddin Mousavirad; Davood Zabihzadeh; Diego Oliva 001; Marco Antonio Pérez Cisneros; Gerald Schaefer (Entropy, 2022)

Local Search Trajectories over S-box space. - Ismel Martínez-Díaz; Carlos Miguel Legón-Pérez; Omar Rojas; Guillermo Sosa-Gómez; Diego Oliva 001 (J. Inf. Secur. Appl., 2022)

Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation. - Seyed Jalaleddin Mousavirad; Diego Oliva 001; Ripon K. Chakrabortty; Davood Zabihzadeh; Salvador Hinojosa (Knowl. Based Syst., 2022)

Fractional-order comprehensive learning marine predators algorithm for global optimization and feature selection. - Dalia Yousri; Mohamed Abd Elaziz 001; Diego Oliva 001; Ajith Abraham; Majed A. Alotaibi 001; Md. Alamgir Hossain 002 (Knowl. Based Syst., 2022)

An improved multi-population whale optimization algorithm. - Mario A. Navarro; Diego Oliva 001; Alfonso Ramos-Michel; Daniel Zaldivar 001; Bernardo Morales-Castañeda; Marco Antonio Pérez Cisneros; Arturo Valdivia; Huiling Chen 001 (Int. J. Mach. Learn. Cybern., 2022)

A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. - Diego Oliva 001; Marcella S. R. Martins; Salvador Hinojosa; Mohamed E. Abd Elaziz; Paulo Victor dos Santos; Gelson da Cruz; Seyed Jalaleddin Mousavirad (Int. J. Mach. Learn. Cybern., 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 001; Valentín Osuna-Enciso (Multim. Tools Appl., 2022)

Enhancing the contrast of the grey-scale image based on meta-heuristic optimization algorithm. - Ali Hussain Khan; Shameem Ahmed; Suman Kumar Bera; Seyedali Mirjalili; Diego Oliva 001; Ram Sarkar (Soft Comput., 2022)

Identification of apple diseases in digital images by using the Gaining-sharing knowledge-based algorithm for multilevel thresholding. - Noé Ortega-Sánchez; Erick Rodríguez-Esparza; Diego Oliva 001; Marco Antonio Pérez Cisneros; Ali Wagdy Mohamed; Gaurav Dhiman 001; Rosaura Hernández-Montelongo (Soft Comput., 2022)

A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. - Bernardo Morales-Castañeda; Diego Oliva 001; Ángel Casas-Ordaz; Arturo Valdivia; Mario A. Navarro; Alfonso Ramos-Michel; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (CEC, 2023)

Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. - Bernardo Morales-Castañeda; Diego Oliva 001; Mario A. Navarro; Alfonso Ramos-Michel; Arturo Valdivia; Ángel Casas-Ordaz; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (CEC, 2023)

An Hyper-Heuristic Based Population Management Through Statistical Analysis and Phases Optimization. - Mario A. Navarro; Bernardo Morales-Castañeda; Alfonso Ramos-Michel; Diego Oliva 001; Arturo Valdivia; Ángel Casas-Ordaz; Erick Rodríguez-Esparza (CEC, 2023)

Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training. - Sahar Rahmani; Seyed Jalaleddin Mousavirad; Mohammed El-Abd; Gerald Schaefer; Diego Oliva 001 (EvoApplications@EvoStar, 2023)

Hyperbolic Tangent Sigmoid as a Transformation Function for Image Contrast Enhancement. - Laritza Pérez-Enríquez; Saúl Zapotecas Martínez; Diego Oliva 001; Leopoldo Altamirano Robles (SSCI, 2023)

Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. - Alfonso Ramos-Michel; Mario A. Navarro; Diego Oliva 001; Bernardo Morales-Castañeda; Ángel Casas-Ordaz; Arturo Valdivia; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (SSCI, 2023)

Quantum Artificial Hummingbird Algorithm for Feature Selection of Social IoT. - Mohamed Abd Elaziz 001; Abdelghani Dahou; Mohammed Azmi Al-Betar; Shaker H. Ali El-Sappagh; Diego Oliva 001; Ahmad O. Aseeri (IEEE Access, 2023)

A review of the role of heuristics in stochastic optimisation: from metaheuristics to learnheuristics. - Angel A. Juan; Peter B. Keenan; Rafael Martí; Seán McGarraghy; Javier Panadero; Paula Carroll; Diego Oliva 001 (Ann. Oper. Res., 2023)

A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm. - Seyed Vahid Moravvej; Seyed Jalaleddin Mousavirad; Diego Oliva 001; Fardin Mohammadi (CoRR, 2023)

Boosted sooty tern optimization algorithm for global optimization and feature selection. - Essam H. Houssein; Diego Oliva 001; Emre Çelik; Marwa M. Emam; Rania M. Ghoniem (Expert Syst. Appl., 2023)

l-shaped geometry-based pattern descriptor serving shape retrieval. - S. Priyanka; Diego Oliva 001; Kethepalli Mallikarjuna; M. S. Sudhakar 001 (Expert Syst. Appl., 2023)

An efficient discrete rat swarm optimizer for global optimization and feature selection in chemoinformatics. - Essam H. Houssein; Mosa E. Hosney; Diego Oliva 001; Eman M. G. Younis; Abdelmgeid A. Ali; Waleed M. Mohamed (Knowl. Based Syst., 2023)

Algoritmo de estimación de distribuciones para la segmentación de imágenes por umbralización multinivel. - Jorge Ramos-Frutos; Israel Miguel-Andrés; Diego Oliva 001 (Res. Comput. Sci., 2023)

Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement. - Benedict Jun Ma; João Luiz Junho Pereira; Diego Oliva 001; Shuai Liu 002; Yong-Hong Kuo (Knowl. Based Syst., 2023)

Enhanced feature selection technique using slime mould algorithm: a case study on chemical data. - Ahmed A. Ewees; Mohammed Abdulaziz Aide Al-qaness; Laith Abualigah; Zakariya Yahya Algamal; Diego Oliva 001; Dalia Yousri; Mohamed Abd Elaziz 001 (Neural Comput. Appl., 2023)

Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems. - Ehsan Bojnordi; Seyed Jalaleddin Mousavirad; Mahdi Pedram; Gerald Schaefer; Diego Oliva 001 (New Gener. Comput., 2023)

Classification of intracranial hemorrhage CT images based on texture analysis using ensemble-based machine learning algorithms: A comparative study. - Santwana S. Gudadhe; Anuradha D. Thakare; Diego Oliva 001 (Biomed. Signal Process. Control., 2023)

Liver Cancer Algorithm: A novel bio-inspired optimizer. - Essam H. Houssein; Diego Oliva 001; Nagwan M. Abdel Samee; Noha F. Mahmoud; Marwa M. Emam (Comput. Biol. Medicine, 2023)

An improved opposition-based Runge Kutta optimizer for multilevel image thresholding. - Ángel Casas-Ordaz; Diego Oliva 001; Mario A. Navarro; Alfonso Ramos-Michel; Marco Antonio Pérez Cisneros (J. Supercomput., 2023)

Improving the segmentation of digital images by using a modified Otsu's between-class variance. - Simrandeep Singh; Nitin Mittal; Harbinder Singh 001; Diego Oliva 001 (Multim. Tools Appl., 2023)

Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm. - Diego Oliva 001; Noé Ortega-Sánchez; Mario A. Navarro; Alfonso Ramos-Michel; Mohammed El-Abd; Seyed Jalaleddin Mousavirad; Mohammad H. Nadimi-Shahraki (Multim. Tools Appl., 2023)

MetaCluster: An open-source Python library for metaheuristic-based clustering problems. - Nguyen Van Thieu; Diego Oliva 001; Marco Pérez-Cisneros (SoftwareX, 2023)

Population of Hyperparametric Solutions for the Design of Metaheuristic Algorithms: An Empirical Analysis of Performance in Particle Swarm Optimization. - Mario A. Navarro; Ángel Casas-Ordaz; Beatriz A. Rivera-Aguilar; Bernardo Morales-Castañeda; Diego Oliva 001 (MIC (2), 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 001; Saúl Zapotecas Martínez (MIC (2), 2024)

Enhancing Retinal OCT Scans via Metaheuristic-Driven Bayesian Speckle Denoising. - Oscar Ramos-Soto; Ángel Casas-Ordaz; Diego Oliva 001; Sandra E. Balderas-Mata; Saúl Zapotecas Martínez (CBMS, 2024)

FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays. - Ayush Roy; Anurag Bhattacharjee; Diego Oliva 001; Oscar Ramos-Soto; Francisco Javier Alvarez Padilla; Ram Sarkar (CBMS, 2024)

IDEL: An Improved Differential Evolution with Lissajous Mutation. - Ángel Casas-Ordaz; Arturo Valdivia; Eduardo H. Haro; Diego Oliva 001; Luis A. Beltran; Itzel Aranguren; Erick Rodríguez-Esparza; Diego Campos-Peña (CEC, 2024)

A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks. - Seyed Jalaleddin Mousavirad; Diego Oliva 001; Gerald Schaefer; Mahshid Helali Moghadam; Mohammed El-Abd (EvoApplications@EvoStar, 2024)

Dynamic Social Particle Swarm Optimization For Automatic Clustering. - Hamida Amdouni; Ghaith Manita; Diego Oliva 001; Essam H. Houssein; Ouajdi Korbaa; Saúl Zapotecas Martínez (KES, 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 001; Mario A. Navarro; Itzel Aranguren; Ángel Casas-Ordaz; Luis A. Beltran; Saúl Zapotecas Martínez (KES, 2024)

Multi-Objective Water Strider Algorithm for Complex Structural Optimization: A Comprehensive Performance Analysis. - Kanak Kalita; Narayanan Ganesh; Rama Chandran Narayanan; Pradeep Jangir; Diego Oliva 001; Marco Pérez-Cisneros (IEEE Access, 2024)

Wrapper-Based Feature Selection to Classify Flatfoot Disease. - Israel Miguel-Andrés; Jorge Ramos-Frutos; Marwa Sharawi; Diego Oliva 001; Elivier Reyes-Dávila; Ángel Casas-Ordaz; Marco Pérez-Cisneros; Saúl Zapotecas Martínez (IEEE Access, 2024)

Corrections to "Wrapper-Based Feature Selection to Classify Flatfoot Disease". - Israel Miguel-Andrés; Jorge Ramos-Frutos; Marwa Sharawi; Diego Oliva 001; Elivier Reyes-Dávila; Ángel Casas-Ordaz; Marco Pérez-Cisneros; Saúl Zapotecas Martínez (IEEE Access, 2024)

Digital Image Processing Applied in the Deformation Analysis of Hip Prosthesis: Multivariate Regression Analysis. - Jorge Ramos-Frutos; Israel Miguel-Andrés; Diego Oliva 001; Marco Pérez-Cisneros; Teresa Alonso-Rasgado; Colin G. Bailey; José Francisco del Valle-Mojica (IEEE Access, 2024)

Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation. - Erick Rodríguez-Esparza; Oscar Ramos-Soto; Antonio D. Masegosa; Enrique Onieva; Diego Oliva 001; Ander Arriandiaga; Arka Ghosh 001 (IEEE Access, 2024)

ALEN: A Dual-Approach for Uniform and Non-Uniform Low-Light Image Enhancement. - Ezequiel Perez-Zarate; Oscar Ramos-Soto; Diego Oliva 001; Marco Pérez-Cisneros (CoRR, 2024)

Quasi-random Fractal Search (QRFS): A dynamic metaheuristic with sigmoid population decrement for global optimization. - Luis A. Beltran; Mario A. Navarro; Diego Oliva 001; Diego Campos-Peña; Jorge Ramos-Frutos; Saúl Zapotecas Martínez (Expert Syst. Appl., 2024)

A new Hyper-heuristic based on Adaptive Simulated Annealing and Reinforcement Learning for the Capacitated Electric Vehicle Routing Problem. - Erick Rodríguez-Esparza; Antonio D. Masegosa; Diego Oliva 001; Enrique Onieva (Expert Syst. Appl., 2024)

Handling the balance of operators in evolutionary algorithms through a weighted Hill Climbing approach. - Erick Rodríguez-Esparza; Bernardo Morales-Castañeda; Ángel Casas-Ordaz; Diego Oliva 001; Mario A. Navarro; Arturo Valdivia; Essam H. Houssein (Knowl. Based Syst., 2024)

Optimizing feedforward neural networks using a modified weighted mean of vectors: Case study chemical datasets. - Essam H. Houssein; Mosa E. Hosney; Marwa M. Emam; Diego Oliva 001; Eman M. G. Younis; Abdelmgeid A. Ali; Waleed M. Mohamed (Swarm Evol. Comput., 2024)

An improved binary grey wolf optimizer for constrained engineering design problems. - Parijata Majumdar; Diptendu Bhattacharya; Sanjoy Mitra; Leonardo Ramos Rodrigues; Diego Oliva 001 (Expert Syst. J. Knowl. Eng., 2024)

Moth-flame optimization based deep feature selection for facial expression recognition using thermal images. - Somnath Chatterjee; Debyarati Saha; Shibaprasad Sen; Diego Oliva 001; Ram Sarkar (Multim. Tools Appl., 2024)

Improved prairie dog optimization algorithm by dwarf mongoose optimization algorithm for optimization problems. - Laith Abualigah; Diego Oliva 001; Heming Jia; Faiza Gul; Nima Khodadadi; Abdelazim G. Hussien; Mohammad Al-Shinwan; Absalom E. Ezugwu; Belal Abuhaija; Raed Abu Zitar (Multim. Tools Appl., 2024)

Battle royale optimizer for multilevel image thresholding. - Taymaz Akan; Diego Oliva 001; Ali-Reza Feizi-Derakhshi; Amir-Reza Feizi-Derakhshi; Marco Pérez-Cisneros; Mohammad Alfrad Nobel Bhuiyan (J. Supercomput., 2024)

The non-monopolize search (NO): a novel single-based local search optimization algorithm. - Laith Abualigah; Mohammed Abdulaziz Aide Al-qaness; Mohamed E. Abd Elaziz; Ahmed A. Ewees; Diego Oliva 001; Thanh Cuong-Le (Neural Comput. Appl., 2024)

Artificial intelligence and edge computing for machine maintenance-review. - Abubakar Bala; Rahimi Zaman Jusoh A. Rashid; Idris Ismail; Diego Oliva 001; Noryanti Muhammad; Sadiq M. Sait; Khaled Abdul-Aziz Al-Utaibi; Temitope Ibrahim Amosa; Kamran Ali Memon (Artif. Intell. Rev., 2024)

Prism refraction search: a novel physics-based metaheuristic algorithm. - Rohit Kundu; Soumitri Chattopadhyay; Sayan Nag; Mario A. Navarro; Diego Oliva 001 (J. Supercomput., 2024)

An Improved Multi-objective Optimization Framework with a Hybrid Model for Vehicular Adhoc Network Routing Services. - Madhuri Husan Badole; Anuradha D. Thakare; Diego Oliva 001 (Wirel. Pers. Commun., 2024)

Handling imbalanced medical datasets: review of a decade of research. - Mabrouka Salmi; Dalia Atif; Diego Oliva 001; Ajith Abraham; Sebastián Ventura (Artif. Intell. Rev., 2024)

Improving the estimation of distribution algorithm with a differential mutation for multilevel thresholding image segmentation. - Jorge Ramos-Frutos; Israel Miguel-Andrés; Diego Oliva 001; Ángel Casas-Ordaz (Int. J. Mach. Learn. Cybern., 2024)

Improved Differential Evolution with Mahalanobis Distance: IMPDE. - Ángel Casas-Ordaz; Mario A. Navarro-Velázquez; Arturo Valdivia; Diego Oliva 001; Jorge Ramos-Frutos (CEC, 2025)

Optimizing Blood Plasma Distribution in Blood Banks through Evolutionary Computation. - Mokgadi G. Makgopo; Olumuyiwa Otegbeye; Absalom E. Ezugwu; Diego Oliva 001 (CEC, 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 001 (CEC, 2025)

Evaluating Color Spaces for Evolutionary Image Contrast Enhancement: An Empirical Study. - Rafael Solar-Hernández; Saúl Zapotecas Martínez; Leopoldo Altamirano Robles; Diego Oliva 001; Seyed Jalaleddin Mousavirad (CEC, 2025)

Edge-Aware and Attention-Aided U-Net Model for Skin Lesion Segmentation. - Dipika Ray; Sujan Sarkar; Diego Oliva 001; Oscar Ramos-Soto; Ram Sarkar (CAI, 2025)

PruneClust-DE: A Novel Dual-Strategy Clustering-based Differential Evolution Algorithm for Neural Network Training. - Seyed Jalaleddin Mousavirad; Mattias O'Nils; Gerald Schaefer; Diego Oliva 001 (SMC, 2025)

C2L-DE-Lite: A Lightweight Solution to Clustering Complexity in Differential Evolution for Neural Network Training *. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Diego Oliva 001; Mattias O'Nils (SMC, 2025)

CLEAR: An Efficient Low-Illumination Enhancement Method for Improved Visibility in Underwater Images. - Ezequiel Perez-Zarate; Oscar Ramos-Soto; Jorge Ramos-Frutos; Diego Oliva 001; Marco Pérez-Cisneros (IEEE Access, 2025)

Enhanced Flatfoot Classification With Transformer Encoders and Bayesian Optimized SVM Parameters. - Jorge Ramos-Frutos; Oscar Ramos-Soto; Israel Miguel-Andrés; Diego Oliva 001; Omar Alvarez; Sandra E. Balderas-Mata; Marco Pérez-Cisneros; Francisco Javier Alvarez Padilla (IEEE Access, 2025)

Dynamic comprehensive learning-based dung beetle optimizer using triangular mutation for polyps image segmentation. - Mohamed Abd Elaziz 001; Diego Oliva 001; Alaa A. El-Bary; Ahmad O. Aseeri; Rehab Ali Ibrahim (Comput. Biol. Chem., 2025)

Optimizing Electrocardiogram Denoising for Enhanced Cardiovascular Disease Detection: A Metaheuristic Approach. - Javier Galvis-Chacón; Oscar Ramos-Soto; Diego Oliva 001; Arturo Valdivia; Horacio Rostro-González; Saúl Zapotecas Martínez; Marco Antonio Pérez Cisneros (Computación y Sistemas (CyS), 2025)

Machine learning for drone detection from images: A review of techniques and challenges. - Abubakar Bala; Ali H. Muqaibel; Naveed Iqbal 001; Mudassir Masood; Diego Oliva 001; Mujaheed Abdullahi (Neurocomputing, 2025)

Multi-population estimation of distribution algorithm for multilevel thresholding in image segmentation. - Jorge Ramos-Frutos; Diego Oliva 001; Israel Miguel-Andrés; Ángel Casas-Ordaz; Oscar Ramos-Soto; Itzel Aranguren; Saúl Zapotecas Martínez (Neurocomputing, 2025)

IntelELM: A python framework for intelligent metaheuristic-based extreme learning machine. - Nguyen Van Thieu; Essam H. Houssein; Diego Oliva 001; Nguyen Duy Hung (Neurocomputing, 2025)

UNIR-Net: A novel approach for restoring underwater images with non-uniform illumination using synthetic data. - Ezequiel Perez-Zarate; Chunxiao Liu; Oscar Ramos-Soto; Diego Oliva 001; Marco Pérez-Cisneros (Image Vis. Comput., 2025)

Enhanced differential evolution through chaotic and Euclidean models for solving flexible process planning. - Eduardo H. Haro; Diego Oliva 001; Luis A. Beltran; Ángel Casas-Ordaz (Knowl. Based Syst., 2025)

Improving the exploitation in the estimation of distribution algorithm through simulated annealing strategies for solar energy problems. - Jorge Ramos-Frutos; Diego Oliva 001; Israel Miguel-Andrés; Mario A. Navarro; Arturo Valdivia; Saúl Zapotecas Martínez; Diego Campos-Peña (Knowl. Based Syst., 2025)

MIAFEx: An attention-based feature extraction method for medical image classification. - Oscar Ramos-Soto; Jorge Ramos-Frutos; Ezequiel Perez-Zarate; Diego Oliva 001; Sandra E. Balderas-Mata (Knowl. Based Syst., 2025)

A chaotic variant of the Golden Jackal Optimizer and its application for medical image segmentation. - Amir Hamza; Morad Grimes; Abdelkarim Boukabou; Badis Lekouaghet; Diego Oliva 001; Samira Dib; Yacine Himeur (Appl. Intell., 2025)

A novel metaheuristic population algorithm for optimising the connection weights of neural networks. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Khosro Rezaee; Diego Oliva 001; Davood Zabihzadeh; Ripon K. Chakrabortty; Hamzeh Mohammadigheymasi; Mehdi Pedram (Evol. Syst., 2025)

Evolutionary optimization in VANET services: a comprehensive survey, challenges and futuristic approach. - Madhuri Husan Badole; Anuradha Thakare; Diego Oliva 001 (Soft Comput., 2025)

Improving the selection of differential evolution through a quartile-based ranked operator. - Eduardo H. Haro; Diego Oliva 001; Ángel Casas-Ordaz; Elivier Reyes-Dávila; Omar Avalos (Int. J. Mach. Learn. Cybern., 2025)

Enhancing image thresholding segmentation with a novel hybrid battle royale optimization algorithm. - Ángel Casas-Ordaz; Itzel Aranguren; Diego Oliva 001; Seyed Jalaleddin Mousavirad; Marco Pérez-Cisneros (Multim. Tools Appl., 2025)

ALEN: a dual-approach for uniform and non-uniform low-light image enhancement. - Ezequiel Perez-Zarate; Oscar Ramos-Soto; Chunxiao Liu; Diego Oliva 001; Marco Pérez-Cisneros (Multim. Syst., 2025)

Response surface-driven hyperparameter optimization for XGBoost. - Jair Vasquez-Ramos; María Guadalupe Ruiz-Sandoval; Diego Oliva 001; Oscar Ramos-Soto; Jorge Ramos-Frutos; Marwa Sharawi; Marco Pérez-Cisneros (J. Supercomput., 2025)

Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining. - Salma Yacoubi; Ghaith Manita; Amit Chhabra; Diego Oliva 001; Ouajdi Korbaa (Cogn. Comput., 2025)

Advanced feature selection approach with Halton-based enhanced adaptive dung beetle algorithm. - Mahmoud Abdel-Salam; Diego Oliva 001; Marco Pérez-Cisneros; Ibrahim M. El-Hasnony (Clust. Comput., 2025)

Prompting Evolution: Leveraging LLMs for Automated Mutation Strategy Design in Differential Evolution. - Javier Galvis-Chacón; Luis A. Beltran; Omar Alvarez; Diego Oliva 001; Itzel Aranguren; Arturo Valdivia-Gonzalez; Mario A. Navarro; Seyed Jalaleddin Mousavirad (EvoApplications, 2026)

MPLUM: A LLM-Assisted Multi-Objective Prompt Learning for High-Quality English-Urdu Summarization. - Muaaz Zahid Ansari; Naveen Saini; Konstantinos Zervoudakis; Diego Oliva 001; Marco Pérez-Cisneros (IEEE Access, 2026)

Visual enhancement of chest X-ray scans through metaheuristic-based optimization of Gamma correction and CLAHE. - Oscar Ramos-Soto; Jorge Ramos-Frutos; Erick Rodríguez-Esparza; Diego Oliva 001; Ezequiel Perez-Zarate; Francisco Carrasco-Hernández; Sandra E. Balderas-Mata (Biomed. Signal Process. Control., 2026)

Particle swarm optimization: A survey of innovations over the last 10 years. - Ángel Casas-Ordaz; Eduardo H. Haro; Luis A. Beltran; Omar Alvarez; Seyed Jalaleddin Mousavirad; Marco Pérez-Cisneros; Diego Oliva 001 (Comput. Sci. Rev., 2026)

Improving the response surface methodology optimization with metaheuristics: A practical approach. - Jorge Ramos-Frutos; Javier Cruz Salgado; Oscar Ramos-Soto; Israel Miguel-Andrés; Ricardo Pérez-Chávez; Diego Oliva 001; Ángel Casas-Ordaz; Emre Çelik; Mohammad H. Nadimi-Shahraki (Expert Syst. Appl., 2026)

Robust ECG signal classification using spiking neural networks with axonal delays. - Javier Galvis-Chacón; Oscar Ramos-Soto; Diego Oliva 001; Arturo Valdivia-Gonzalez; Horacio Rostro-González; Alberto Patiño-Saucedo (Neurocomputing, 2026)

Adversarial game optimization: A game-theoretic metaheuristic for efficient complex optimization and engineering applications. - Conglin Li; Qingke Zhang; Junqing Li; Sichen Tao; Diego Oliva 001 (Inf. Sci., 2026)

ILrLSUMM+: A NER-infused Multi-objective Paradigm to Summarize News in Low-resource Indian Languages. - Jiten Parmar; Naveen Saini; Dhananjoy Dey; Diego Oliva 001; Omkeshwar (Knowl. Based Syst., 2026)