Human mental search: a new population-based metaheuristic optimization algorithm. - Seyed Jalaleddin Mousavirad; Hossein Ebrahimpour-Komleh (Appl. Intell., 2017)

Multilevel image thresholding using entropy of histogram and recently developed population-based metaheuristic algorithms. - Seyed Jalaleddin Mousavirad; Hossein Ebrahimpour-Komleh (Evol. Intell., 2017)

A Levy flight-based grey wolf optimizer combined with back-propagation algorithm for neural network training. - Shima Amirsadri; Seyed Jalaleddin Mousavirad; Hossein Ebrahimpour-Komleh (Neural Comput. Appl., 2018)

A Benchmark of Population-Based Metaheuristic Algorithms for High-Dimensional Multi-Level Image Thresholding. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Hossein Ebrahimpour-Komleh (CEC, 2019)

Tackling Deceptive Optimization Problems Using Opposition-based DE with Center-based Latin Hypercube Initialization. - Seyed Jalaleddin Mousavirad; Azam Asilian Bidgoli; Shahryar Rahnamayan (ICCSE, 2019)

Differential Evolution Algorithm Based on a Competition Scheme. - Seyed Jalaleddin Mousavirad; Shahryar Rahnamayan (ICCSE, 2019)

An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks. - Seyed Jalaleddin Mousavirad; Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Gerald Schaefer; Iakov Korovin (ISNN (1), 2019)

A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (SMC, 2019)

Effective image clustering based on human mental search. - Seyed Jalaleddin Mousavirad; Hossein Ebrahimpour-Komleh; Gerald Schaefer (Appl. Soft Comput., 2019)

A memetic imperialist competitive algorithm with chaotic maps for multi-layer neural network training. - Seyed Jalaleddin Mousavirad; Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Gerald Schaefer (Int. J. Bio Inspired Comput., 2019)

A Novel Center-based Differential Evolution Algorithm. - Seyed Jalaleddin Mousavirad; Shahryar Rahnamayan (CEC, 2020)

Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm. - Seyed Jalaleddin Mousavirad; Shahryar Rahnamayan; Gerald Schaefer (CEC, 2020)

On Improvements of the Human Mental Search Algorithm for Global Optimisation. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Leila Esmaeili; Iakov Korovin (CEC, 2020)

A benchmark of recent population-based metaheuristic algorithms for multi-layer neural network training. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Seyed Mohammad Jafar Jalali; Iakov Korovin (GECCO Companion, 2020)

Effective image clustering using self-organizing migrating algorithm. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (GECCO Companion, 2020)

Colour quantisation using self-organizing migrating algorithm. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (GECCO Companion, 2020)

High-dimensional multi-level image thresholding using self-organizing migrating algorithm. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (GECCO Companion, 2020)

High-dimensional multi-level maximum variance threshold selection for image segmentation: a benchmark of recent population-based metaheuristic algorithms. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Zahra Movahedi; Iakov Korovin (GECCO Companion, 2020)

Neural Network Training Using a Biogeography-Based Learning Strategy. - Seyed Jalaleddin Mousavirad; Seyed Mohammad Jafar Jalali; Sajad Ahmadian; Abbas Khosravi; Gerald Schaefer; Saeid Nahavandi (ICONIP (5), 2020)

An Effective Approach for Neural Network Training Based on Comprehensive Learning. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (ICPR, 2020)

CenPSO: A Novel Center-based Particle Swarm Optimization Algorithm for Large-scale Optimization. - Seyed Jalaleddin Mousavirad; Shahryar Rahnamayan (SMC, 2020)

One-array Differential Evolution Algorithm with a Novel Replacement Strategy for Numerical Optimization. - Seyed Jalaleddin Mousavirad; Shahryar Rahnamayan (SMC, 2020)

Colour Quantisation using Human Mental Search and Local Refinement. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; M. Emre Celebi 001; Hui Fang 003; Xiyao Liu 001 (SMC, 2020)

Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm. - Shahryar Rahnamayan; Seyed Jalaleddin Mousavirad (SMC, 2020)

Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation. - Seyed Jalaleddin Mousavirad; Shahryar Rahnamayan (SSCI, 2020)

Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification. - Seyed Jalaleddin Mousavirad; Shahryar Rahnamayan (SSCI, 2020)

A Novel Image Segmentation Based on Clustering and Population-Based Optimisation. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Hossein Ebrahimpour-Komleh; Iakov Korovin (ICSI, 2020)

Colour Quantisation by Human Mental Search. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Hui Fang 003; Xiyao Liu 001; Iakov Korovin (ICSI, 2020)

Human mental search-based multilevel thresholding for image segmentation. - Seyed Jalaleddin Mousavirad; Hossein Ebrahimpour-Komleh (Appl. Soft Comput., 2020)

Automatic clustering using a local search-based human mental search algorithm for image segmentation. - Seyed Jalaleddin Mousavirad; Hossein Ebrahimpour-Komleh; Gerald Schaefer (Appl. Soft Comput., 2020)

Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently. - Shahryar Rahnamayan; Seyed Jalaleddin Mousavirad; Azam Asilian Bidgoli (CoRR, 2020)

Differential Evolution-based Neural Network Training Incorporating a Centroid-based Strategy and Dynamic Opposition-based Learning. - Seyed Jalaleddin Mousavirad; Diego Oliva; Salvador Hinojosa; Gerald Schaefer (CEC, 2021)

RDE-OP: A Region-Based Differential Evolution Algorithm Incorporation Opposition-Based Learning for Optimising the Learning Process of Multi-layer Neural Networks. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin; Diego Oliva (EvoApplications, 2021)

A population-based automatic clustering algorithm for image segmentation. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Mahshid Helali Moghadam; Mehrdad Saadatmand; Mahdi Pedram (GECCO Companion, 2021)

HCS-BBD: an effective population-based approach for multi-level thresholding. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Diego Oliva; Salvador Hinojosa (GECCO Companion, 2021)

An LSTM-Based Plagiarism Detection via Attention Mechanism and a Population-Based Approach for Pre-training Parameters with Imbalanced Classes. - Seyed Vahid Moravvej; Seyed Jalaleddin Mousavirad; Mahshid Helali Moghadam; Mehrdad Saadatmand (ICONIP (3), 2021)

Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search. - Mahshid Helali Moghadam; Markus Borg; Seyed Jalaleddin Mousavirad (SBST@ICSE, 2021)

An Enhanced Differential Evolution Algorithm Using a Novel Clustering-based Mutation Operator. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin; Mahshid Helali Moghadam; Mehrdad Saadatmand; Mahdi Pedram (SMC, 2021)

MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. - Ehsan Bojnordi; Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin (SSCI, 2021)

HMS-OS: Improving the Human Mental Search Optimisation Algorithm by Grouping in both Search and Objective Space. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Iakov Korovin; Diego Oliva; Mahshid Helali Moghadam; Mehrdad Saadatmand (SSCI, 2021)

An efficient method to minimize cross-entropy for selecting multi-level threshold values using an improved human mental search algorithm. - Leila Esmaeili; Seyed Jalaleddin Mousavirad; Ali Shahidinejad (Expert Syst. Appl., 2021)

An Improved DE Algorithm to Optimise the Learning Process of a BERT-based Plagiarism Detection Model. - Seyed Vahid Moravvej; Seyed Jalaleddin Mousavirad; Diego Oliva; Gerald Schaefer; Zahra Sobhaninia (CEC, 2022)

A Clustering-based Differential Evolution Boosted by a Regularisation-based Objective Function and a Local Refinement for Neural Network Training. - Seyed Jalaleddin Mousavirad; Amir H. Gandomi; Hassan Homayoun (CEC, 2022)

Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. - Mario A. Navarro; Alfonso Ramos-Michel; Bernardo Morales-Castañeda; Oscar Maciel-Castillo; Itzel Aranguren; Arturo Valdivia; Diego Oliva; Seyed Jalaleddin Mousavirad (CEC, 2022)

RWS-L-SHADE: An Effective L-SHADE Algorithm Incorporation Roulette Wheel Selection Strategy for Numerical Optimisation. - Seyed Jalaleddin Mousavirad; Mahshid Helali Moghadam; Mehrdad Saadatmand; Ripon K. Chakrabortty; Gerald Schaefer; Diego Oliva (EvoApplications, 2022)

Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. - Mario A. Navarro; Alfonso Ramos-Michel; Angel Gaspar; Diego Oliva; Salvador Hinojosa; Seyed Jalaleddin Mousavirad; Marco Antonio Pérez Cisneros (EvoApplications, 2022)

A New Hybrid Method for Text Feature Selection Through Combination of Relative Discrimination Criterion and Ant Colony Optimization. - Majid Hemmati; Seyed Jalaleddin Mousavirad; Ehsan Bojnordi; Mostafa Shaeri (ICHSA, 2022)

Training Neural Networks with Lévy Flight Distribution Algorithm. - Mahdi Pedram; Seyed Jalaleddin Mousavirad; Gerald Schaefer (ICHSA, 2022)

Population-based JPEG Image Compression: Problem Re-Formulation. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (CoRR, 2022)

A Grouping Differential Evolution Algorithm Boosted by Attraction and Repulsion Strategies for Masi Entropy-Based Multi-Level Image Segmentation. - Seyed Jalaleddin Mousavirad; Davood Zabihzadeh; Diego Oliva; Marco Antonio Pérez Cisneros; Gerald Schaefer (Entropy, 2022)

Population-based self-adaptive Generalised Masi Entropy for image segmentation: A novel representation. - Seyed Jalaleddin Mousavirad; Diego Oliva; Ripon K. Chakrabortty; Davood Zabihzadeh; Salvador Hinojosa (Knowl. Based Syst., 2022)

A hyper-heuristic guided by a probabilistic graphical model for single-objective real-parameter optimization. - Diego Oliva; Marcella S. R. Martins; Salvador Hinojosa; Mohamed E. Abd Elaziz; Paulo Victor dos Santos; Gelson da Cruz; Seyed Jalaleddin Mousavirad (Int. J. Mach. Learn. Cybern., 2022)

An Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning. - Khosro Rezaee; Seyed Jalaleddin Mousavirad; Mohammad Reza Khosravi; Mohammad Kazem Moghimi; Mohsen Heidari (IEEE Trans. Intell. Transp. Syst., 2022)

A Novel Diversity-Aware Inertia Weight and Velocity Control for Particle Swarm Optimization. - Bernardo Morales-Castañeda; Diego Oliva; Ángel Casas-Ordaz; Arturo Valdivia; Mario A. Navarro; Alfonso Ramos-Michel; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (CEC, 2023)

Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. - Bernardo Morales-Castañeda; Diego Oliva; Mario A. Navarro; Alfonso Ramos-Michel; Arturo Valdivia; Ángel Casas-Ordaz; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (CEC, 2023)

Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training. - Sahar Rahmani; Seyed Jalaleddin Mousavirad; Mohammed El-Abd; Gerald Schaefer; Diego Oliva (EvoApplications@EvoStar, 2023)

Improving Metaheuristic Algorithm Design Through Inequality and Diversity Analysis: A Novel Multi-Population Differential Evolution. - Alfonso Ramos-Michel; Mario A. Navarro; Diego Oliva; Bernardo Morales-Castañeda; Ángel Casas-Ordaz; Arturo Valdivia; Erick Rodríguez-Esparza; Seyed Jalaleddin Mousavirad (SSCI, 2023)

Low-rank robust online distance/similarity learning based on the rescaled hinge loss. - Davood Zabihzadeh; Amar Tuama; Ali Karami-Mollaee; Seyed Jalaleddin Mousavirad (Appl. Intell., 2023)

A Novel Plagiarism Detection Approach Combining BERT-based Word Embedding, Attention-based LSTMs and an Improved Differential Evolution Algorithm. - Seyed Vahid Moravvej; Seyed Jalaleddin Mousavirad; Diego Oliva; Fardin Mohammadi (CoRR, 2023)

A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (CoRR, 2023)

How effective are current population-based metaheuristic algorithms for variance-based multi-level image thresholding? - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Huiyu Zhou 001; Mahshid Helali Moghadam (Knowl. Based Syst., 2023)

Improving the Generalisation Ability of Neural Networks Using a Lévy Flight Distribution Algorithm for Classification Problems. - Ehsan Bojnordi; Seyed Jalaleddin Mousavirad; Mahdi Pedram; Gerald Schaefer; Diego Oliva (New Gener. Comput., 2023)

Energy-aware JPEG image compression: A multi-objective approach. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (Appl. Soft Comput., 2023)

Segmentation of thermographies from electronic systems by using the global-best brain storm optimization algorithm. - Diego Oliva; Noé Ortega-Sánchez; Mario A. Navarro; Alfonso Ramos-Michel; Mohammed El-Abd; Seyed Jalaleddin Mousavirad; Mohammad H. Nadimi-Shahraki (Multim. Tools Appl., 2023)

An Evolutionary Compact Deep Transfer Learning with CNN for Hyper-Parameter Tuning in Temporal Sorting of Plant Growth. - Seyed Jalaleddin Mousavirad; Irida Shallari; Mattias O'Nils (CEC, 2024)

A Novel Two-Level Clustering-Based Differential Evolution Algorithm for Training Neural Networks. - Seyed Jalaleddin Mousavirad; Diego Oliva; Gerald Schaefer; Mahshid Helali Moghadam; Mohammed El-Abd (EvoApplications@EvoStar, 2024)

Model Evaluation and Selection for Robust and Efficient Advertisement Detection in Print Media. - Faeze Zakaryapour Sayyad; Irida Shallari; Seyed Jalaleddin Mousavirad; Mattias O'Nils (ICACDS, 2024)

A Comprehensive Review on Deep Learning-Based Data Fusion. - Mazhar Hussain; Mattias O'Nils; Jan Lundgren; Seyed Jalaleddin Mousavirad (IEEE Access, 2024)

Ensemble of loss functions to improve generalizability of deep metric learning methods. - Davood Zabihzadeh; Zahraa Alitbi; Seyed Jalaleddin Mousavirad (Multim. Tools Appl., 2024)

An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis. - Ali Al Bataineh; Seyed Mohammad Jafar Jalali; Seyed Jalaleddin Mousavirad; Amirmehdi Yazdani 001; Syed Mohammed Shamsul Islam; Abbas Khosravi (Expert Syst. J. Knowl. Eng., 2024)

Machine learning testing in an ADAS case study using simulation-integrated bio-inspired search-based testing. - Mahshid Helali Moghadam; Markus Borg; Mehrdad Saadatmand; Seyed Jalaleddin Mousavirad; Markus Bohlin; Björn Lisper (J. Softw. Evol. Process., 2024)

Temporal Image Sequence Fusion with PSO-Optimised CNN Transfer Learning for Plant Temporal State Categorisation. - Seyed Jalaleddin Mousavirad; Irida Shallari; Mattias O'Nils (CEC, 2025)

Evaluating Color Spaces for Evolutionary Image Contrast Enhancement: An Empirical Study. - Rafael Solar-Hernández; Saúl Zapotecas Martínez; Leopoldo Altamirano Robles; Diego Oliva; Seyed Jalaleddin Mousavirad (CEC, 2025)

Addressing Contextual Factors in ArUco Marker-Based Distance Estimation: A Machine Learning Approach. - Seyed Jalaleddin Mousavirad; Vincenzo Gallo; Irida Shallari; Mattias O'Nils (I2MTC, 2025)

Neural Network-Based Sensor-Guided Exposure Control Eliminating Multi-Frame Input. - Ash Ziqin Tang; Irida Shallari; Seyed Jalaleddin Mousavirad; Mattias O'Nils (SAS, 2025)

Leveraging social networks as an optimization approach. - Hamed Ghadirian; Seyed Jalaleddin Mousavirad (Intell. Syst. Appl., 2025)

A cluster-based opposition differential evolution algorithm boosted by a local search for ECG signal classification. - Mehran Pourvahab; Seyed Jalaleddin Mousavirad; Virginie Felizardo; Nuno Pombo; Henriques Zacarias; Hamzeh Mohammadigheymasi; Sebastião Pais; Seyed Nooreddin Jafari; Nuno M. Garcia (J. Comput. Sci., 2025)

A novel metaheuristic population algorithm for optimising the connection weights of neural networks. - Seyed Jalaleddin Mousavirad; Gerald Schaefer; Khosro Rezaee; Diego Oliva; Davood Zabihzadeh; Ripon K. Chakrabortty; Hamzeh Mohammadigheymasi; Mehdi Pedram (Evol. Syst., 2025)

Metaheuristic-based energy-aware image compression for mobile app development. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (Multim. Tools Appl., 2025)

Enhancing image thresholding segmentation with a novel hybrid battle royale optimization algorithm. - Ángel Casas-Ordaz; Itzel Aranguren; Diego Oliva; Seyed Jalaleddin Mousavirad; Marco Pérez-Cisneros (Multim. Tools Appl., 2025)

Robust Energy Consumption Prediction With a Missing Value-Resilient Metaheuristic-Based Neural Network in Mobile App Development. - Seyed Jalaleddin Mousavirad; Luís A. Alexandre (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Advances in Mountain Gazelle Optimizer: A Comprehensive Study on its Classification and Applications. - Ferzat Anka; Farhad Soleimanian Gharehchopogh; Ghanshyam G. Tejani; Seyed Jalaleddin Mousavirad (Int. J. Comput. Intell. Syst., 2025)

The Two-Archive Multi-Objective Grey Wolf Optimization Algorithm for Truss Structures. - Ghanshyam G. Tejani; Sunil Kumar Sharma; Seyed Jalaleddin Mousavirad; Abdelrahman Radwan (Int. J. Comput. Intell. Syst., 2025)