Seyed Jalaleddin Mousavirad

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 77

Top Topics

Differential Evolution

Image Segmentation

Top Venues

GECCO Companion

Publications

Mahshid Helali Moghadam, Markus Borg, Mehrdad Saadatmand, Seyed Jalaleddin Mousavirad, Markus Bohlin, Björn Lisper
Machine learning testing in an ADAS case study using simulation-integrated bio-inspired search-based testing. J. Softw. Evol. Process. 36 (5) (2024)
Ali Al Bataineh, Seyed Mohammad Jafar Jalali, Seyed Jalaleddin Mousavirad, Amirmehdi Yazdani, Syed Mohammed Shamsul Islam, Abbas Khosravi
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. Expert Syst. J. Knowl. Eng. 41 (4) (2024)
Seyed Jalaleddin Mousavirad, Irida Shallari, Mattias O'Nils
An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth. CEC (2024)
Seyed Jalaleddin Mousavirad, Diego Oliva, Gerald Schaefer, Mahshid Helali Moghadam, Mohammed El-Abd
A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks. EvoApplications@EvoStar (2024)
Davood Zabihzadeh, Zahraa Alitbi, Seyed Jalaleddin Mousavirad
Ensemble of loss functions to improve generalizability of deep metric learning methods. Multim. Tools Appl. 83 (7) (2024)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Huiyu Zhou, Mahshid Helali Moghadam
How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding? Knowl. Based Syst. 272 (2023)
Alfonso Ramos-Michel, Mario A. Navarro, Diego Oliva, Bernardo Morales-Castañeda, Angel Casas-Ordaz, Arturo Valdivia, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. SSCI (2023)
Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Angel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. CEC (2023)
Seyed Jalaleddin Mousavirad, Luís A. Alexandre
A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development. CoRR (2023)
Mehran Pourvahab, Seyed Jalaleddin Mousavirad, Virginie Felizardo, Nuno Pombo, Henriques Zacarias, Hamzeh Mohammadigheymasi, Sebastião Pais, Seyed Nooreddin Jafari, Nuno M. Garcia
A Cluster-Based Opposition Differential Evolution Algorithm Boosted by a Local Search for ECG Signal Classification. CoRR (2023)
Seyed Jalaleddin Mousavirad, Luís A. Alexandre
Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development. CoRR (2023)
Seyed Vahid Moravvej, Seyed Jalaleddin Mousavirad, Diego Oliva, Fardin Mohammadi
A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm. CoRR (2023)
Davood Zabihzadeh, Amar Tuama, Ali Karami-Mollaee, Seyed Jalaleddin Mousavirad
Low-rank robust online distance/similarity learning based on the rescaled hinge loss. Appl. Intell. 53 (1) (2023)
Diego Oliva, Noé Ortega-Sánchez, Mario A. Navarro, Alfonso Ramos-Michel, Mohamed E. Abd Elaziz, Seyed Jalaleddin Mousavirad, Mohammad H. Nadimi-Shahraki
Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm. Multim. Tools Appl. 82 (29) (2023)
Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Mahdi Pedram, Gerald Schaefer, Diego Oliva
Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems. New Gener. Comput. 41 (2) (2023)
Seyed Jalaleddin Mousavirad, Luís A. Alexandre
Energy-aware JPEG image compression: A multi-objective approach. Appl. Soft Comput. 141 (2023)
Bernardo Morales-Castañeda, Diego Oliva, Angel Casas-Ordaz, Arturo Valdivia, Mario A. Navarro, Alfonso Ramos-Michel, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad
A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. CEC (2023)
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. ICHSA (2022)
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. CEC (2022)
Seyed Jalaleddin Mousavirad, Diego Oliva, Ripon K. Chakrabortty, Davood Zabihzadeh, Salvador Hinojosa
Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation. Knowl. Based Syst. 245 (2022)
Mario A. Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad, Marco A. Pérez Cisneros
Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. EvoApplications (2022)
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. CEC (2022)
Seyed Jalaleddin Mousavirad, Luís A. Alexandre
Population-based JPEG Image Compression: Problem Re-Formulation. CoRR (2022)
Mahshid Helali Moghadam, Markus Borg, Mehrdad Saadatmand, Seyed Jalaleddin Mousavirad, Markus Bohlin, Björn Lisper
Machine Learning Testing in an ADAS Case Study Using Simulation-Integrated Bio-Inspired Search-Based Testing. CoRR (2022)
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. CEC (2022)
Khosro Rezaee, Seyed Jalaleddin Mousavirad, Mohammad Reza Khosravi, Mohammad Kazem Moghimi, Mohsen Heidari
An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning. IEEE Trans. Intell. Transp. Syst. 23 (7) (2022)
Seyed Jalaleddin Mousavirad, Luís A. Alexandre
Energy-Aware JPEG Image Compression: A Multi-Objective Approach. CoRR (2022)
Seyed Jalaleddin Mousavirad, Mahshid Helali Moghadam, Mehrdad Saadatmand, Ripon K. Chakrabortty, Gerald Schaefer, Diego Oliva
RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation. EvoApplications (2022)
Diego Oliva, Marcella S. R. Martins, Salvador Hinojosa, Mohamed E. Abd Elaziz, Paulo Victor dos Santos, Gelson da Cruz, Seyed Jalaleddin Mousavirad
A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. Int. J. Mach. Learn. Cybern. 13 (12) (2022)
Mahdi Pedram, Seyed Jalaleddin Mousavirad, Gerald Schaefer
Training Neural Networks with Lévy Flight Distribution Algorithm. ICHSA (2022)
Seyed Jalaleddin Mousavirad, Davood Zabihzadeh, Diego Oliva, Marco A. Pérez Cisneros, Gerald Schaefer
A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation. Entropy 24 (1) (2022)
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. CoRR (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. CoRR (2021)
Mahshid Helali Moghadam, Markus Borg, Seyed Jalaleddin Mousavirad
Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search. SBST@ICSE (2021)
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. CoRR (2021)
Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. CoRR (2021)
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. CEC (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Diego Oliva, Salvador Hinojosa
HCS-BBD: an effective population-based approach for multi-level thresholding. GECCO Companion (2021)
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. SSCI (2021)
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. EvoApplications (2021)
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. CoRR (2021)
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. ICONIP (3) (2021)
Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. SSCI (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. SMC (2021)
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 Syst. Appl. 182 (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram
A population-based automatic clustering algorithm for image segmentation. GECCO Companion (2021)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
Colour quantisation using self-organizing migrating algorithm. GECCO Companion (2020)
Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad
Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm. SMC (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
High-dimensional multi-level image thresholding using self-organizing migrating algorithm. GECCO Companion (2020)
Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Gerald Schaefer
Automatic clustering using a local search-based human mental search algorithm for image segmentation. Appl. Soft Comput. 96 (2020)
Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan
A Novel Center-based Differential Evolution Algorithm. CEC (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
Effective image clustering using self-organizing migrating algorithm. GECCO Companion (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
An Effective Approach for Neural Network Training Based on Comprehensive Learning. ICPR (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hui Fang, Xiyao Liu, Iakov Korovin
Colour Quantisation by Human Mental Search. ICSI (2020)
Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli
Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently. CoRR (2020)
Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan
Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation. SSCI (2020)
Seyed Jalaleddin Mousavirad, Seyed Mohammad Jafar Jalali, Sajad Ahmadian, Abbas Khosravi, Gerald Schaefer, Saeid Nahavandi
Neural Network Training Using a Biogeography-Based Learning Strategy. ICONIP (5) (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Leila Esmaeili, Iakov Korovin
On Improvements of the Human Mental Search Algorithm for Global Optimisation. CEC (2020)
Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh
Human mental search-based multilevel thresholding for image segmentation. Appl. Soft Comput. 97 (Part B) (2020)
Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan
Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification. SSCI (2020)
Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan, Gerald Schaefer
Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm. CEC (2020)
Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan
CenPSO: A Novel Center-based Particle Swarm Optimization Algorithm for Large-scale Optimization. SMC (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Seyed Mohammad Jafar Jalali, Iakov Korovin
A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training. GECCO Companion (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh, Iakov Korovin
A Novel Image Segmentation Based on Clustering and Population-Based Optimisation. ICSI (2020)
Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan
One-array Differential Evolution Algorithm with a Novel Replacement Strategy for Numerical Optimization. SMC (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, M. Emre Celebi, Hui Fang, Xiyao Liu
Colour Quantisation using Human Mental Search and Local Refinement. SMC (2020)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Zahra Movahedi, Iakov Korovin
High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms. GECCO Companion (2020)
Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Gerald Schaefer
Effective image clustering based on human mental search. Appl. Soft Comput. 78 (2019)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh
A Benchmark of Population-Based Metaheuristic Algorithms for High-Dimensional Multi-Level Image Thresholding. CEC (2019)
Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin
A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy. SMC (2019)
Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan
Differential Evolution Algorithm Based on a Competition Scheme. ICCSE (2019)
Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Shahryar Rahnamayan
Tackling Deceptive Optimization Problems Using Opposition-based DE with Center-based Latin Hypercube Initialization. ICCSE (2019)
Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Gerald Schaefer
A memetic imperialist competitive algorithm with chaotic maps for multi-layer neural network training. Int. J. Bio Inspired Comput. 14 (4) (2019)
Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Gerald Schaefer, Iakov Korovin
An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks. ISNN (1) (2019)
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 Comput. Appl. 30 (12) (2018)
Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh
Human mental search: a new population-based metaheuristic optimization algorithm. Appl. Intell. 47 (3) (2017)
Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh
Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms. Evol. Intell. 10 (1-2) (2017)
Sahar Rahmani, Seyed Jalaleddin Mousavirad, Mohammed El-Abd, Gerald Schaefer, Diego Oliva
Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training. EvoApplications@EvoStar (2013)