Publications
73- Seyed Jalaleddin Mousavirad, Diego Oliva, Ripon K Chakrabortty, Davood Zabihzadeh, and Salvador Hinojosa, Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation, Knowledge-Based Systems, Vol. 245, 2022
72- Seyed Jalaleddin Mousavirad, Amir H Gandomi, Hassan Homayoun, A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training, IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022
71- Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Zahra Sobhaninia, An Improved DE Algorithm to Optimise the Learning Process of a BERT-based Plagiarism Detection Model, IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022
70- Mario A Navarro, Alfonso Ramos-Michel, Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Itzel Aranguren, Arturo Valdivia, Diego Oliva, Seyed Jalaleddin Mousavirad , Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms, IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022
69- Majid Hemmati, Seyed Jalaleddin Mousavirad, Ehsan Bojnordi, Mostafa Shaeri, A New Hybrid Method for Text Feature Selection Through Combination of Relative Discrimination Criterion and Ant Colony Optimization, 7th International Conference on Harmony Search, Soft Computing and Applications (ICHSA2020), South Korea, 2022
68- Mahdi Pedram, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Training Neural Networks with Lévy Flight Distribution Algorithm, 7th International Conference on Harmony Search, Soft Computing and Applications (ICHSA2020), South Korea, 2022
67- Diego Oliva, Marcella S. R. Martins, Salvador Hinojosa, Mohamed Abd Elaziz, Paulo Victor dos Santos, Gelson da Cruz, and Seyed Jalaleddin Mousavirad, A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization, International Journal of Machine Learning and Cybernetics, 2022
66- Davood Zabihzadeh, Amar Tuama, Ali Karami-Mollaee, Seyed Jalaleddin Mousavirad, Low-rank robust online distance/similarity learning based on the rescaled hinge loss, Applied Intelligence, 2022
65- Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon Chakrabortty, Gerald Schaefer, Diego Oliva, RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation, International Conference on the Applications of Evolutionary Computation (EVOAPPLICATION2022), Madrid, Spain, 2022
64- Mario A Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad, Marco Pérez-Cisneros, Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion, International Conference on the Applications of Evolutionary Computation (EVOAPPLICATION2022), Madrid, Spain, 2022
63- Seyed Jalaleddin Mousavirad, Davood Zabihzadeh, Diego Oliva, Marco Perez-Cisneros, Gerald Schaefer, A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation, Entropy, Vol. 24, Issue. 1, 2022
2021
62- Khosro Rezaee, Seyed Jalaleddin Mousavirad, Mohammad R Khosravi, Mohammad Kazem Moghimi, Mohsen Heidari, An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning, IEEE Transactions on Intelligent Transportation Systems, 2021
61- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, Mahshid Helali Moghadam , Mehrdad Saadatmand, HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), Orlando, USA, 2021
60- Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm, IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021), Orlando, USA, 2021
59- Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, An LSTM-based Plagiarism Detection via Attention Mechanism and a Population-based Approach for Pre-Training Parameters with imbalanced Classes, The 28th International Conference on Neural Information Processing (ICONIP2021), Bali, Indonesia, 2021
58- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, and Mahdi Pedram, An Enhanced Differential Evolution Algorithm Using a Novel Clustering-Based Mutation, IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, 2021
57- Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa and Gerald Schaefer, Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning, IEEE Congress on Evolutionary Computation (CEC2021), Krakov, Poland, 2021.
56- Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Diego Oliva and Salvador Hinojosa, HCS-BBD: An Effective Population-Based Approach for Multi-Level Thresholding, The Genetic and Evolutionary Computation Conference Companion (GECCO2021), Lille, France, 2021.
55- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Mahshid Helali Moghadam, Mehrdad Saadatmand, and Mahdi Pedram, A Population-based Automatic Clustering Algorithm for Image Segmentation, The Genetic and Evolutionary Computation Conference Companion (GECCO2021), Lille, France, 2021.
54- Mahshid Helali Moghadam, Markus Borg, Seyed Jalaleddin Mousavirad, Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search, The 14th International Workshop on Search-Based Software Testing (SBST21), Madrid, Spain, 2021.
53- Leila Esmaeili, Seyed Jalaleddin Mousavirad, Ali Shahidinejad, An Efficient Method to Minimize Cross-Entropy for Selecting Multi-Level Threshold Values using an Improved Human Mental Search Algorithm, Expert Systems with Applications, Vol. 182, 2021.
52- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Diego Oliva, RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks, 24th International Conference on Applications of Evolutionary Computation, EvoApplications 2021, Held as Part of EvoStar 2021, Seville, Spain.
51- Shiva Pirhadi, Keivan Maghooli, Niloofar Yousefi Moteghaed, Masoud Garshasbi, Seyed Jalaleddin Mousavirad, Biomarker discovery by imperialist competitive algorithm in mass spectrometry data for ovarian cancer prediction, Journal of Medical Signals and Sensors, Vol. 11, Issue.2, 2021.
2020
50- Seyed Jalaleddin Mousavirad and Hossein Ebrahimpour-Komleh, Human Mental Search-based Multi-level Thresholding for Image Segmentation, Applied Soft Computing, Vol.97, 2020.
49- Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Iakov Korovin, An Effective Approach for Neural Network Training Based on Comprehensive Learning, \textit{25th International Conference on Pattern Recognition (ICPR2020), Italy, 2020.
48- Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation, IEEE Symposium Series on Computational Intelligence (SSCI2020), Canberra, Australia, 2020.
47- Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification, \textit{IEEE Symposium Series on Computational Intelligence (SSCI2020), Canberra, Australia, 2020.
46- Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi, Neural Network Training Using a Biogeography-Based Learning Strategy, International Conference on Neural Information Processing (ICONIP 2020), Bangkok, Thailand, 2020.
45- Seyed Jalaleddin Mousavirad, Gerald Schaefer, M. Emre Celebi , Hui Fang , and Xiyao Liu, Colour Quantisation using Human Mental Search and Local Refinement, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, 2020.
44- Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, CenPSO: A Novel Center-based Particle Swarm Optimization Algorithm for Large-scale Optimization, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, 2020.
43- Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, One-array Differential Evolution Algorithm with a Novel Replacement Strategy for Numerical Optimization, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, 2020.
42- Shahryar Rahnamayan and Seyed Jalaleddin Mousavirad , Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, 2020.
41- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, and Gerald Schaefer, Automatic Clustering Using a Local Search-based Human Mental Search for Image Segmentation, Applied Soft Computing, Vol. 96, 2020.
40- Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Hossein Ebrahimpour-Komleh, The Human Mental Search Algorithm for Solving Optimisation Problems, Enabling AI applications in Data Science, 2020.
39- Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, A Novel Center-based Differential Evolution Algorithm, IEEE Congress on Evolutionary Computation (CEC2020), Glasgow, UK, 2020.
38- Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan and Gerald Schaefer, Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm, IEEE Congress on Evolutionary Computation (CEC2020), Glasgow, UK, 2020.
37- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Leila Esmaeili and Iakov Korovin, On Improvements of the Human Mental Search Algorithm for Global Optimisation, IEEE Congress on Evolutionary Computation (CEC2020), Glasgow, UK, 2020.
36- Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Iakov Korovin, High-Dimensional Multi-Level Image Thresholding using Self-Organizing Migrating Algorithm, The Genetic and Evolutionary Computation Conference Companion (GECCO2020), Cancun, Mexico, 2020.
35- Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Iakov Korovin, Colour Quantisation using Self-Organizing Migrating Algorithm , The Genetic and Evolutionary Computation Conference Companion(GECCO2020), Cancun, Mexico, 2020.
34- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Zahra Movahedi, High-Dimensional Multi-Level Maximum Variance Threshold Selection for Image Segmentation: A Benchmark of Recent Population-based Metaheuristic Algorithms, The Genetic and Evolutionary Computation Conference Companion(GECCO2020), Cancun, Mexico, 2020.
33- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Seyed Mohammad Jafar Jalali, and Iakov Korovin, A Benchmark of Recent Population-Based Metaheuristic Algorithms for Multi-Layer Neural Network Training, The Genetic and Evolutionary Computation Conference Companion (GECCO2020), Cancun, Mexico, 2020.
32- Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Iakov Korovin, Effective Image Clustering using Self-Organizing Migrating Algorithm,The Genetic and Evolutionary Computation Conference Companion(GECCO2020), Cancun, Mexico, 2020.
31- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hui Fang, Xiyao Liu and Iakov Korovin, Colour Quantisation by Human Mental Search, The Eleventh International Conference on Swarm Intelligence (ICSI 2020), Belgrade, Serbia, 2020.
30- Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh and Iakov Korovin, A Novel Image Segmentation Based on Clustering and Population-Based Optimisation,The Eleventh International Conference on Swarm Intelligence (ICSI 2020), Belgrade, Serbia, 2020.
2019
29- Masoumeh Khubroo and Seyed Jalaleddin Mousavirad, A Levy Flight-based Decomposition Multi-objective Optimization Based on Grey Wolf Optimizer, 9th International Conference on Computer and Knowledge Engineering (ICCKE) , Ferdowsi University of Mashhad, Mashhad, Iran, 2019.
28- Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Gerald Scheafer, A Memetic Imperialist Competitive Algorithm with Chaotic Maps for Multi-Layer Neural Network Training, International Journal of Bio-inspired Computation, Vol. 14, No.14, 2019.
27- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, and Gerald Scheafer, Effective Image Clustering using Human Mental Search, Applied Soft Computing, Vol. 78, 2019.
26- Seyed Jalaleddin Mousavirad, Gerald Scheafer, and Iakov Korovin, A Global-best Guided Human Mental Search Algorithm with Random Clustering Startegy, IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, 2019.
25- Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, Differential Evolution Algorithm Based on a Competition Scheme, 14th International Conference on Computer Sconce and Education, Toronto, Canada, 2019.
24- Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Shahryar Rahnamayan, Tackling Deceptive Optimization Problems Using Opposition-based DE with Center-based Latin Hypercube Initialization, 14th International Conference on Computer Sconce and Education, Toronto, Canada, 2019.
23- Seyed Jalaleddin Mousavirad, Gerald Scheafer, Hossein Ebrahimpour-Komleh, A Benchmark of Population-based Metaheuristic Algorithms for High-Dimensional Multi-Level Image Thresholding, IEEE Congress on Evolutionary Computation (CEC2019), Wellington, New Zealand, 2019.
22- Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad, Meysam Asgari, Parallel Spatial Pyramid Match Kernel Algorithm for Object Recognition using Cluster of Computers, Journal of AI and Data Mining, Vol.7. Issue. 01, 2019.
2018
21- Shima Amirsadri, Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, A Levy Flight based Grey Wolf Optimizer Combined with Back-propagation algorithm for Neural Network Training, Neural Computing and Applications, Vol. 30, Issue. 2, 2018.
2017
20- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Multilevel Image Thresholding Using the Recently Developed Population-based Metaheuristic Algorithms, Evolutionary Intelligence, Vol.10, Issue 1-2, 2017.
19- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komeleh, Human Mental Search: A New Population-based Metaheuristic Optimization Algorithm, Applied Intelligence, Vol. 40, Issue. 3, 2017.
18- Arash Yunessnia lehi, Seyed Jalaleddin Mousavirad, Ahmad Akbari, Pre-treatment of textile wastewaters containing Chrysophenine using hybrid membranes, Membrane water Treatment, Vol. 8, No. 1, 2017.
2016
17- Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad, Male Infertility Prediction from Environmental Factors and Lifestyle using Artificial Intelligence Algorithms, Journal of Hakim, Vol. 19, No.2,2016.
16- Mohamad Mojavriyan, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad, IGICA: A Hybrid Feature Selection Approach in Text Categorization, International Journal of Intelligent Systems and Applications, Vol. 8, No.3, 2016.
2015
18- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Entropy-based Optimal Multilevel Thresholding using Cuckoo Optimization Algorithm, 11th International Conference on Innovations in Information Technology(IIT2015), United Arab Emirates University, Dubai, United Arab Emirates, 2015.
17- Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad, Seminal Quality Prediction using Optimized Artificial Neural Network with Genetic Algorithm, 9th International Conference on Electrical and Electronics Engineering(ELECO2015), Bursa, Turkey, 2015.
16- Foroozan Amooee Arani, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad, Banknote Authentication using Clustering based Anomaly Detection Approaches, 7th International Conference on Information and Knowledge Technology, Urmia University, Urmia, Iran, 2015.
2014
15- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Wrapper Feature Selection using Discrete Cuckoo Optimization Algorithm, International Journal of Mechatronics, Electrical, and Computer Engineering, Vol.4, Issue. 11, 2014.
14- Mohamad Mojavriyan, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad, Text Feature Selection using Document Frequency and Colonial Competitive Algorithm, 8th National Conference on Data Mining, Amirkabir University, Tehran, Iran, 2014.
13- Foroozan Amooee Arani, Hossein Ebrahimpour-Komleh, Seyed Jalaleddin Mousavirad, Diagnosis of Breast Tissues using PCA and Ensemble of Classifiers by Electrical Impedance Spectroscopy, Second Computer Science Conference on Computer and Information Technology, University of Tabriz, Tabriz, Iran, 2014.
12- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, A New Approach for Liver Disease Diagnosis using Outlier Detection and Fusion of Classification Algorithms, 12th Iranian Conference on Intelligent Systems(ICIS 2014), Higher Education Complex of Bam, Kerman, Iran, 2014.
10- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Diagnosis of Pathology on the Vertebral Columns with Bagging, 12th Iranian Conference on Intelligent Systems(ICIS 2014), Higher Education Complex of Bam, Kerman, Iran, 2014.
2013
9- Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Feature selection using modified Imperialist Competitive Algorithm, International Conference on Computer and Knowledge Engineering(ICKKE 2013), Ferdowsi University of Mashhad, Mashhad, Iran, 2013.
8-Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Cuckoo Optimization Algorithm for Feed Forward Neural Network Training, 21th Iranian Conference on Electrical Engineering(ICEE2013), Ferdowsi University of Mashhad, Iran, 2013.
2012
7- Seyed Jalaleddin Mousavirad, Fardin Akhlaghian Tab, Kaveh Mollazade, Application of Imperialist Competition Algorithm for Feature Selection: A Case Study On Bulk Rice Classification, International Journal of Computer Application, Vol. 40, No.16, 2012.
6- Seyed Jalaleddin Mousavirad, Fardin Akhlaghian Tab, Kaveh Mollazade, Design of an Expert System for Rice Kernel Identification Using Optimal Morphological Features and Back Propagation Neural Network, International Journal of Applied Informatics System, Vol. 3, No. 2, 2012.
5- Seyed Jalaleddin Mousavirad, Khosro Rezaee, Kiam Nasri, A New Method for Identification of Iranian Rice Kernel Varieties using Optimal Morphological Features and an Ensemble Classifier by Image Processing, Majlesi Journal of multimedia processing, Vol. 1, No. 3, 2012.
4- Khosro Rezaee, Seyed Jalaleddin Mousavirad, Mohammad Rasegh Ghezelbash, Javad Haddania, Accurate Fire Detection System for Various Environments by Using Gaussian Mixture Model and HSV Space, Journal of Information System and Telecommunication, No. 1, Vol. 1, October-December 2012.
3- Seyed Jalaleddin Mousavirad, Fardin Akhlaghian Tab, Kaveh Mollazade, Real-time Bulk Rice Varieties Identification Using Texture Features Based on Classifier Fusion Methods, 16th International Symposium on Artificial Intelligence and Signal Processing(AISP 2012), University of Shiraz, Iran, 2012.
2- Seyed Jalaleddin Mousavirad, Fardin Akhlaghian Tab, Kaveh Mollazade, Kiam Nasri, Identification of Rice Varieties Using Co-Occurrence Matrix Features of Bulk Samples and Support Vector Machine, 20th Iranian Conference on Electrical Engineering (ICEE2012), University of Tehran, Iran, 2012.
2011
1-Seyed Jalaleddin Mousavirad, Fardin Akhlaghian Tab, Kaveh Mollazade, Classification of rice varieties using optimal color and texture features and BP Neural Networks, 7th Iranian Conference on Machine Vision and Image Processing (MVIP2011), Iran University of science and technology, Iran, 2011.