Investigation of Mutation Strategies in Differential Evolution for Solving Global Optimization Problems. - Miguel León Ortiz; Ning Xiong 001 (ICAISC (1), 2014)

Greedy adaptation of control parameters in differential evolution for global optimization problems. - Miguel León Ortiz; Ning Xiong 001 (CEC, 2015)

Eager Random Search for Differential Evolution in Continuous Optimization. - Miguel León Ortiz; Ning Xiong 001 (EPIA, 2015)

Application of Adaptive Differential Evolution for Model Identification in Furnace Optimized Control System. - Miguel León Ortiz; Magnus Evestedt; Ning Xiong 001 (IJCCI (ECTA), 2015)

Adaptive Differential Evolution Supports Automatic Model Calibration in Furnace Optimized Control System. - Miguel León Ortiz; Magnus Evestedt; Ning Xiong 001 (IJCCI (Selected Papers), 2015)

A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends. - Ning Xiong 001; Daniel Molina; Miguel León Ortiz; Francisco Herrera (Int. J. Comput. Intell. Syst., 2015)

Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution. - Miguel León Ortiz; Yigen Zenlander; Ning Xiong 001; Francisco Herrera (ETFA, 2016)

Differential Evolution based on Decomposition for Solving Multi-objective Optimization Problems. - Ning Xiong 001; Miguel León Ortiz (ICAART (2), 2016)

A New Differential Evolution Algorithm with Alopex-Based Local Search. - Miguel León Ortiz; Ning Xiong 001 (ICAISC (1), 2016)

Adapting Differential Evolution Algorithms For Continuous Optimization Via Greedy Adjustment Of Control Parameters. - Miguel León Ortiz; Ning Xiong 001 (J. Artif. Intell. Soft Comput. Res., 2016)

Alopex-based mutation strategy in Differential Evolution. - Miguel León Ortiz; Ning Xiong 001 (CEC, 2017)

Enhancing Adaptive Differential Evolution Algorithms with Rank-Based Mutation Adaptation. - Miguel Leon 001; Ning Xiong 001 (CEC, 2018)

MPADE: An Improved Adaptive Multi-Population Differential Evolution Algorithm Based on JADE. - Javier Ramos; Miguel León Ortiz; Ning Xiong 001 (CEC, 2018)

Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm. - Miguel Leon 001; Joaquín Ballesteros; Jonatan Tidare; Ning Xiong 001; Elaine Åstrand (CEC, 2019)

A Deep Neural Network Model for Music Genre Recognition. - Martin Suero; Carsten Paul Gassen; Dimitrije Mitic; Ning Xiong 001; Miguel León Ortiz (ICNC-FSKD, 2019)

Discriminating EEG spectral power related to mental imagery of closing and opening of hand. - Jonatan Tidare; Miguel Leon 001; Ning Xiong 001; Elaine Åstrand (NER, 2019)

Unbounded Sparse Census Transform Using Genetic Algorithm. - Carl Ahlberg; Miguel León Ortiz; Fredrik Ekstrand; Mikael Ekström (WACV, 2019)

A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. - Miguel León Ortiz; Ning Xiong 001; Daniel Molina; Francisco Herrera (Int. J. Comput. Intell. Syst., 2019)

Improving differential Evolution with adaptive and Local Search Methods. - Miguel Leon 001 (2019)

Impact of NSGA-II objectives on EEG feature selection related to motor imagery. - Miguel Leon 001; Christoffer Parkkila; Jonatan Tidare; Ning Xiong 001; Elaine Åstrand (GECCO, 2020)

Adaptive differential evolution with a new joint parameter adaptation method. - Miguel Leon 001; Ning Xiong 001 (Soft Comput., 2020)

The genetic algorithm census transform: evaluation of census windows of different size and level of sparseness through hardware in-the-loop training. - Carl Ahlberg; Miguel Leon 001; Fredrik Ekstrand; Mikael Ekström (J. Real Time Image Process., 2021)

Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning. - Miguel León Ortiz; Tijana Markovic; Sasikumar Punnekkat (GECCO Companion, 2022)

Random Forest Based on Federated Learning for Intrusion Detection. - Tijana Markovic; Miguel Leon 001; David Buffoni; Sasikumar Punnekkat (AIAI (1), 2022)

Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification. - Miguel Leon 001; Tijana Markovic; Sasikumar Punnekkat (IJCNN, 2022)

Using NLP Tools to Detect Ambiguities in System Requirements - A Comparison Study. - Aleksandar Bajceta; Miguel Leon 001; Wasif Afzal; Pernilla Lindberg; Markus Bohlin (REFSQ Workshops, 2022)

MIDAS: A Modular Ice Cream Factory Dataset on Anomalies in Sensors. - Tijana Markovic; Miguel Leon 001; Björn Leander; Sasikumar Punnekkat (IEEE DataPort, 2022)

Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems. - Tijana Markovic; Alireza Dehlaghi-Ghadim; Miguel Leon 001; Ali Balador; Sasikumar Punnekkat (FedCSIS, 2023)

Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data. - Miguel León Ortiz; Tijana Markovic; Sasikumar Punnekkat (GECCO Companion, 2023)

Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment. - Alireza Dehlaghi-Ghadim; Tijana Markovic; Miguel Leon 001; David Söderman; Per Erik Strandberg (ICMLA, 2023)

Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems. - Björn Leander; Tijana Markovic; Miguel Leon 001 (IECON, 2023)

A Modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems. - Tijana Markovic; Miguel Leon 001; Björn Leander; Sasikumar Punnekkat (IEEE Access, 2023)

Comparative Evaluation of Autoencoders for Semi-Supervised Anomaly Detection on Univariate Time Series Data. - Tijana Markovic; Sara Moricz; Miguel Leon 001 (ICMLA, 2024)

Network Intrusion Detection using Machine Learning on Resource-Constrained Edge Devices. - Pontus Lidholm; Tijana Markovic; Miguel Leon 001; Per Erik Strandberg (IJCNN, 2024)

Random forest with differential privacy in federated learning framework for network attack detection and classification. - Tijana Markovic; Miguel León Ortiz; David Buffoni; Sasikumar Punnekkat (Appl. Intell., 2024)

Feature Selection Using Genetic Algorithm for Intrusion Detection on Resource-Constrained Edge Devices. - Tijana Markovic; Pontus Lidholm; Per Erik Strandberg; Miguel Leon 001 (GECCO, 2025)