Publications
Number of publications matching the search criterion: 39
Doctoral Thesis (1)
Improving Differential Evolution with Adaptive and Local Search Methods (Dec 2019) Miguel Leon Ortiz
Licentiate Thesis (2)
Enhancing Differential Evolution Algorithm for Solving continuous Optimization Problems (Dec 2016) Miguel Leon Ortiz
Enhancing differential evolution algorithm for solving continuous optimisation problems (Dec 2016) Miguel Leon Ortiz
Book chapter (2)
Adaptive Differential Evolution Supports Automatic Model Calibration in Furnace Optimized Control System (Jan 2017) Miguel Leon Ortiz, Magnus Evestedt , Ning Xiong Computational Intelligence (CI)
InSecTT technologies for the enhancement of industrial security and safety Sasikumar Punnekkat, Tijana Markovic, Miguel Leon Ortiz, Björn Leander, Alireza Dehlaghi Ghadim, Per Erik Strandberg
Journal article (8)
A modular Ice Cream Factory Dataset on Anomalies in Sensors to Support Machine Learning Research in Manufacturing Systems (Mar 2023) Tijana Markovic, Miguel Leon Ortiz, Björn Leander, Sasikumar Punnekkat IEEE Access (IEEE Access 2023)
Time-resolved estimation of strength of Motor Imagery representation by multivariate EEG decoding (Dec 2020) Jonatan Tidare, Miguel Leon Ortiz, Elaine Åstrand Journal of Neural Engineering (J. Neural Eng.)
The genetic algorithm census transform: evaluation of census windows of different size and level of sparseness through hardware in-the-loop training (Jul 2020) Carl Ahlberg, Miguel Leon Ortiz, Fredrik Ekstrand, Mikael Ekström Open Access Journal of Real-Time Image Processing (J RT Image Proc)
Adaptive differential evolution with a new joint parameter adaptation method (Jul 2020) Miguel Leon Ortiz, Ning Xiong Soft Computing (SC20)
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination with Alopex Local Search (Aug 2019) Miguel Leon Ortiz, Ning Xiong, Francisco Herrera , Daniel Molina International Journal of Computational Intelligence Systems (IJCIS19)
Adapting differential evolution algorithms for continuous optimization via greedy adjustment of control parameters (Jul 2016) Miguel Leon Ortiz, Ning Xiong Journal of Artificial Intelligence and Soft Computing Research, 2016 (JAISCR-16)
Differential evolution enhanced with eager random search for solving real-parameter optimization problems (Dec 2015) Miguel Leon Ortiz, Ning Xiong International Journal of Advanced Research in Artificial Intelligence, 2015 (IJARAI-15)
A walk into metaheuristics for engineering optimization: principles, methods and recent trends (Jun 2015) Ning Xiong, Daniel Molina , Miguel Leon Ortiz, Francisco Herrera International Journal of Computational Intelligence Systems, 2015 (IJCIS-15)
Conference/Workshop Paper (26)
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Dec 2023) Alireza Dehlaghi Ghadim, Tijana Markovic, Miguel Leon Ortiz, David Söderman , Per Erik Strandberg International Conference on Machine Learning and Applications 23 (ICMLA'23)
Enhanced Simulation Environment to Support Research in Modular Manufacturing Systems (Oct 2023) Björn Leander, Tijana Markovic, Miguel Leon Ortiz 49th Conference of the IEEE Industrial Electronics Society 2023 (IECON 2023)
Federated Learning for Network Anomaly Detection in a Distributed Industrial Environment (Aug 2023) Alireza Dehlaghi Ghadim, Tijana Markovic, Per Erik Strandberg, David Söderman , Miguel Leon Ortiz International Conference on Machine Learning and Applications 23 (ICMLA'23)
Multi-Objective Optimization on Autoencoder for Feature Encoding and Attack Detection on Network Data (Jul 2023) Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat Genetic and Evolutionary Computation Conference (GECCO 2023)
Time-series Anomaly Detection and Classification with Long Short-Term Memory Network on Industrial Manufacturing Systems (Jun 2023) Tijana Markovic, Alireza Dehlaghi Ghadim, Miguel Leon Ortiz, Ali Balador, Sasikumar Punnekkat 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023)
Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection and Attack Classification (Jul 2022) Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat International Conference on Neural Network (IJCNN)
Feature encoding with autoencoder and differential evolution for network intrusion detection using machine learning (Jul 2022) Miguel Leon Ortiz, Tijana Markovic, Sasikumar Punnekkat Genetic and Evolutionary Computation Conference (GECCO 2022)
Random Forest Based on Federated Learning for Intrusion Detection (Jun 2022) Tijana Markovic, Miguel Leon Ortiz, David Buffoni , Sasikumar Punnekkat International Converence on Artificial Intelligence Applications and innovations (AIAI 2022)
Using NLP tools to detect ambiguities in system requirements - A comparison study (Mar 2022) Aleksandar Bajceta, Miguel Leon Ortiz, Wasif Afzal, Pernilla Lindberg , Markus Bohlin 5th Workshop on Natural Language Processing for Requirements Engineering @ REFSQ (NLP4RE)
Impact of NSGA-II objectives on EEG feature selection related to motor imagery (Jan 2020) Miguel Leon Ortiz, Christoffer Parkkila, Jonatan Tidare, Ning Xiong, Elaine Åstrand Genetic and Evolutionary Computation Conference (GECCO 2020)
A Deep Neural Network Model for Music Genre Recognition (Jul 2019) Martin Suero, Carsten Paul Gassen, Dimitrije Mitic, Ning Xiong, Miguel Leon Ortiz International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD19)
Feature Selection of EEG Oscillatory Activity Related to Motor Imagery Using a Hierarchical Genetic Algorithm (Jun 2019) Miguel Leon Ortiz, Joaquin Ballesteros, Jonatan Tidare, Ning Xiong, Elaine Åstrand IEEE Congress on Evolutionary Computation (IEEE CEC'19)
Discriminating EEG spectral power related to mental imagery of closing and opening of hand (Mar 2019) Jonatan Tidare, Miguel Leon Ortiz, Ning Xiong, Elaine Åstrand THe 9th International IEEE EMBS Conference of Neural Engineering (IEEE NER'19)
Unbounded Sparse Census Transform using Genetic Algorithm (Jan 2019) Carl Ahlberg, Miguel Leon Ortiz, Fredrik Ekstrand, Mikael Ekström WACV 2019 - IEEE Winter Conference on Applications of Computer Vision (WACV'19)
Enhancing Adaptive Differential Evolution Algorithms with Rank-Based Mutation Adaptation (Jul 2018) Miguel Leon Ortiz, Ning Xiong IEEE Congress on Evolutionary Computation (IEEE CEC'18)
MPADE: An Improved Adaptive Multi-Population Differential Evolution Algorithm Based on JADE (Jul 2018) Javier Ramos , Miguel Leon Ortiz, Ning Xiong IEEE Congress on Evolutionary Computation (IEEE CEC'18)
Alopex-Based Mutation Strategy in Differential Evolution (Jun 2017) Miguel Leon Ortiz, Ning Xiong IEEE Congress on Evolutionary Computation 2017 (IEEE CEC'17)
Designing Optimal Harmonic Filters in Power Systems Using Greedy Adaptive Differential Evolution (Sep 2016) Miguel Leon Ortiz, Yigen Zenlander , Ning Xiong, Francisco Herrera 21st IEEE Conference on Emerging Technologies and Factory Automation (ETFA'16)
A new Differential Evolution Algorithm with Alopex-based Local Search (Jun 2016) Miguel Leon Ortiz, Ning Xiong International conference in artificial intelligence and soft computing 2016 (ICAISC'16)
Differential evolution based on decomposition for solving multi-objective optimization problems (Feb 2016) Ning Xiong, Miguel Leon Ortiz International Conference on Agents and Artificial Intelligence 2016 (ICAART'16)
Application of adaptive differential evolution for model identification in furnace optimized control system (Nov 2015) Miguel Leon Ortiz, Magnus Evestedt , Ning Xiong International Conference on Evolutionary Computation Theory and Applications 2015 (ECTA'15)
Eager random search for differential evolution in continuous optimization (Sep 2015) Miguel Leon Ortiz, Ning Xiong 17th Portuguese Conference on Artificial Intelligence 2015 (EPIA'15)
Greedy adaptation of control parameters in differential evolution for global optimization problems (May 2015) Miguel Leon Ortiz, Ning Xiong IEEE Conference on Evolutionary Computation 2015 (IEEE CEC'15)
Investigation of mutation strategies in differential evolution for solving global optimization problems (Jun 2014) Miguel Leon Ortiz, Ning Xiong 13th International Conference on Artificial Intelligence and Soft Computing (ICAISC14)
Using Random Local Search Helps in Avoiding Local Optimum in Differential Evolution (Feb 2014) Miguel Leon Ortiz, Ning Xiong IASTED International Conference on Artificial Intrelligence and Applications (AIA 2014)
Principles and state-of-the-art of engineering optimization techniques (Oct 2013) Ning Xiong, Miguel Leon Ortiz The Seventh International Conference on Advanced Engineering Computing and Applications in Sciences, 2013 (ADVCOMP 2013)
