You can see the complete list of the papers in my profile in Google Scholar with Citation numbers.

2021

60. Seyed Jalaleddin Mousavirad, Diego Oliva, Salvador Hinojosa, Gerald Schaefer, Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning, IEEE Congress on Evolutionary Computation, Karkow, Poland, 2021

59. Seyed Jalaleddin Mousavirad, Gerald Schaefer, Diego Oliva, Salvador Hinojosa, HCS-BBD: an effective population-based approach for multi-level thresholding, The Genetic and Evolutionary Computation Conference Companion(GECCO2021), Lille, France, 2021

58. Seyed Jalaleddin Mousavirad, Gerald Schaefer, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram, A population-based automatic clustering algorithm for image segmentation, The Genetic and Evolutionary Computation Conference Companion(GECCO2021), Lille, France, 2021

57. Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh, Optimising Connection Weights in Neural Networks Using a Memetic Algorithm Incorporating Chaos Theory, Metaheuristics in Machine Learning: Theory and Applications, 2021

56. 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

55. 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 System with Applications, Vol. 182, 2021

54. 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 & Sensors, Vol. 11, Issue.2, 2021

53. 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

2020

52. Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Iakov Korovin, An Effective Approach for Neural Network Training Based on Comprehensive Learning, 25th International Conference on Pattern Recognition, Italy, 2020

51. Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation, IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020

50. Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification, IEEE Symposium Series on Computational Intelligence (SSCI), Canberra, Australia, 2020

49. 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.

48. 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 (IEEE SMC 2020), Toronto, Canada, 2020.

47. 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 (IEEE SMC 2020), Toronto, Canada, 2020.

46. 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 (IEEE SMC 2020), Toronto, Canada, 2020.

45. 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 (IEEE SMC 2020), Toronto, Canada, 2020.

44. 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, In Press

43. 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

42. Seyed Jalaleddin Mousavirad and Shahryar Rahnamayan, A Novel Center-based Differential Evolution Algorithm, IEEE Congress on Evolutionary Computation (CEC2020), Glasgow, UK, 2020

41. 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

40. 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

39. 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 (GECCO2020), Cancun, Mexico, 2020

38. Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Iakov Korovin, Colour Quantisation using Self-Organizing Migrating Algorithm (GECCO2020), The Genetic and Evolutionary Computation Conference, Cancun, Mexico, 2020

37. 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 (GECCO2020), Cancun, Mexico, 2020

36. 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 (GECCO2020), Cancun, Mexico, 2020

35. Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Iakov Korovin, Effective Image Clustering using Self-Organizing Migrating Algorithm, The Genetic and Evolutionary Computation Conference (GECCO2020) , Cancun, Mexico, 2020

34. 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

33. Seyed Jalaleddin Mousavirad, 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

32. 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.

31. Seyed Jalaleddin Mousavirad and Hossein Ebrahimpour-Komleh, Human Mental Search-based Multi-level Thresholding for Image Segmentation, Applied Soft Computing, In press.

30. 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.

29. Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, and Gerald Scheafer, Effective Image Clustering using Human Mental Search, Applied Soft Computing, Vol. 78, 2019.

28. 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 (IEEE SMC 2019), Bari, Italy, 2019.

27. 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.

26. 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.

25. 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.

24. 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

23. 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

22. 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,

21. Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komeleh, Human Mental Search: A New Population-based Metaheuristic Optimization Algorithm, Applied Intelligence, Vol. 40, Issue. 3, 2017,

20. Arash Yunessnia lehi, Seyed Jalaleddin Mousavirad, Ahmad Akbari, Pre-treatment of textile wastewaters containing Chrysophenine using hybrid membranes, Membrane water Treatment, In Press,

2016

19. 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, PP. 72-80, 2016,

18. 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, PP. 42-47, 2016,

2015

17. 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,

16. 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,

15. 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

14. 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,

13. 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,

12. 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,

11. 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 (In Persian),

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 (In Persian),

2013

9. Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Feature selection using modified Imperialist Competitive Algorithm, International Conference on Computer and Knowledge Engineering(ICKKE 2013), October 31 & November 1, Ferdowsi University of Mashhad, Mashhad, Iran, 2013,

 8. Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Cuckoo Optimization Algorithm for Feed Forward Neural Network Training21th 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 [Editor’s Choice],

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, k. Rezaee, K. 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, The 7th Iranian Conference on Machine Vision and Image Processing (MVIP2011), Iran University of science and technology, Iran,  2011.