default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSeyed Jalaleddin Mousavirad
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j20]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)- [j19]Davood Zabihzadeh, Zahraa Alitbi, Seyed Jalaleddin Mousavirad:
Ensemble of loss functions to improve generalizability of deep metric learning methods. Multim. Tools Appl. 83(7): 21525-21549 (2024) - [j18]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) - [c45]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: 1-8 - [c44]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: 259-272 - 2023
- [j17]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): 634-657 (2023) - [j16]Seyed Jalaleddin Mousavirad, Luís A. Alexandre:
Energy-aware JPEG image compression: A multi-objective approach. Appl. Soft Comput. 141: 110278 (2023) - [j15]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: 110587 (2023) - [j14]Diego Oliva, Noé Ortega-Sánchez, Mario A. Navarro, Alfonso Ramos-Michel, Mohammed El-Abd, 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): 44911-44941 (2023) - [j13]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): 225-242 (2023) - [c43]Bernardo Morales-Castañeda, Diego Oliva, Ángel 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: 1-8 - [c42]Bernardo Morales-Castañeda, Diego Oliva, Mario A. Navarro, Alfonso Ramos-Michel, Arturo Valdivia, Ángel Casas-Ordaz, Erick Rodríguez-Esparza, Seyed Jalaleddin Mousavirad:
Improving the Convergence of the PSO Algorithm with a Stagnation Variable and Fuzzy Logic. CEC 2023: 1-8 - [c41]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 2023: 608-622 - [c40]Alfonso Ramos-Michel, Mario A. Navarro, Diego Oliva, Bernardo Morales-Castañeda, Ángel 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: 1547-1552 - [i13]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 abs/2305.02374 (2023) - [i12]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 abs/2305.02731 (2023) - [i11]Seyed Jalaleddin Mousavirad, Luís A. Alexandre:
A Metaheuristic-based Machine Learning Approach for Energy Prediction in Mobile App Development. CoRR abs/2306.09931 (2023) - [i10]Seyed Jalaleddin Mousavirad, Luís A. Alexandre:
Robust Energy Consumption Prediction with a Missing Value-Resilient Metaheuristic-based Neural Network in Mobile App Development. CoRR abs/2309.12484 (2023) - 2022
- [j12]Seyed Jalaleddin Mousavirad, Davood Zabihzadeh, Diego Oliva, Marco Antonio 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): 8 (2022) - [j11]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: 108610 (2022) - [j10]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): 3743-3772 (2022) - [j9]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): 9404-9413 (2022) - [c39]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: 1-7 - [c38]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: 1-8 - [c37]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: 1-8 - [c36]Mario A. Navarro, Alfonso Ramos-Michel, Angel Gaspar, Diego Oliva, Salvador Hinojosa, Seyed Jalaleddin Mousavirad, Marco Antonio Pérez Cisneros:
Improving the Convergence and Diversity in Differential Evolution Through a Stock Market Criterion. EvoApplications 2022: 157-172 - [c35]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: 255-268 - [c34]Mahdi Pedram, Seyed Jalaleddin Mousavirad, Gerald Schaefer:
Training Neural Networks with Lévy Flight Distribution Algorithm. ICHSA 2022: 93-103 - [c33]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: 159-169 - [i9]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 abs/2203.12026 (2022) - [i8]Seyed Jalaleddin Mousavirad, Luís A. Alexandre:
Energy-Aware JPEG Image Compression: A Multi-Objective Approach. CoRR abs/2209.04374 (2022) - [i7]Seyed Jalaleddin Mousavirad, Luís A. Alexandre:
Population-based JPEG Image Compression: Problem Re-Formulation. CoRR abs/2212.06313 (2022) - 2021
- [j8]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: 115106 (2021) - [c32]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: 1233-1240 - [c31]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: 407-420 - [c30]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Diego Oliva, Salvador Hinojosa:
HCS-BBD: an effective population-based approach for multi-level thresholding. GECCO Companion 2021: 1923-1930 - [c29]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Mahshid Helali Moghadam, Mehrdad Saadatmand, Mahdi Pedram:
A population-based automatic clustering algorithm for image segmentation. GECCO Companion 2021: 1931-1936 - [c28]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: 690-701 - [c27]Mahshid Helali Moghadam, Markus Borg, Seyed Jalaleddin Mousavirad:
Deeper at the SBST 2021 Tool Competition: ADAS Testing Using Multi-Objective Search. SBST@ICSE 2021: 40-41 - [c26]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: 176-181 - [c25]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. SSCI 2021: 1-6 - [c24]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: 1-7 - [i6]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 abs/2106.15392 (2021) - [i5]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 abs/2109.09351 (2021) - [i4]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 abs/2110.08771 (2021) - [i3]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 abs/2111.10188 (2021) - [i2]Ehsan Bojnordi, Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm. CoRR abs/2111.10676 (2021) - 2020
- [j7]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: 106604 (2020) - [j6]Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh:
Human mental search-based multilevel thresholding for image segmentation. Appl. Soft Comput. 97(Part B): 105427 (2020) - [c23]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
A Novel Center-based Differential Evolution Algorithm. CEC 2020: 1-8 - [c22]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan, Gerald Schaefer:
Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm. CEC 2020: 1-7 - [c21]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Leila Esmaeili, Iakov Korovin:
On Improvements of the Human Mental Search Algorithm for Global Optimisation. CEC 2020: 1-8 - [c20]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
Effective image clustering using self-organizing migrating algorithm. GECCO Companion 2020: 279-280 - [c19]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: 1402-1408 - [c18]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
Colour quantisation using self-organizing migrating algorithm. GECCO Companion 2020: 1448-1453 - [c17]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
High-dimensional multi-level image thresholding using self-organizing migrating algorithm. GECCO Companion 2020: 1454-1459 - [c16]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: 1608-1613 - [c15]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: 147-155 - [c14]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
An Effective Approach for Neural Network Training Based on Comprehensive Learning. ICPR 2020: 8774-8781 - [c13]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
CenPSO: A Novel Center-based Particle Swarm Optimization Algorithm for Large-scale Optimization. SMC 2020: 2066-2071 - [c12]Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad:
Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm. SMC 2020: 2506-2513 - [c11]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
One-array Differential Evolution Algorithm with a Novel Replacement Strategy for Numerical Optimization. SMC 2020: 2514-2519 - [c10]Seyed Jalaleddin Mousavirad, Gerald Schaefer, M. Emre Celebi, Hui Fang, Xiyao Liu:
Colour Quantisation using Human Mental Search and Local Refinement. SMC 2020: 3045-3050 - [c9]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation. SSCI 2020: 337-344 - [c8]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification. SSCI 2020: 2320-2326 - [c7]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh, Iakov Korovin:
A Novel Image Segmentation Based on Clustering and Population-Based Optimisation. ICSI 2020: 117-129 - [c6]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hui Fang, Xiyao Liu, Iakov Korovin:
Colour Quantisation by Human Mental Search. ICSI 2020: 130-141 - [i1]Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli:
Shahryar Origami Optimization (SOO): A Novel Approach for Solving Large-scale Expensive Optimization Problems Efficiently. CoRR abs/2003.03676 (2020)
2010 – 2019
- 2019
- [j5]Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh, Gerald Schaefer:
Effective image clustering based on human mental search. Appl. Soft Comput. 78: 209-220 (2019) - [j4]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): 227-236 (2019) - [c5]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Hossein Ebrahimpour-Komleh:
A Benchmark of Population-Based Metaheuristic Algorithms for High-Dimensional Multi-Level Image Thresholding. CEC 2019: 2394-2401 - [c4]Seyed Jalaleddin Mousavirad, Azam Asilian Bidgoli, Shahryar Rahnamayan:
Tackling Deceptive Optimization Problems Using Opposition-based DE with Center-based Latin Hypercube Initialization. ICCSE 2019: 394-400 - [c3]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
Differential Evolution Algorithm Based on a Competition Scheme. ICCSE 2019: 929-934 - [c2]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: 309-317 - [c1]Seyed Jalaleddin Mousavirad, Gerald Schaefer, Iakov Korovin:
A Global-Best Guided Human Mental Search Algorithm with Random Clustering Strategy. SMC 2019: 3174-3179 - 2018
- [j3]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): 3707-3720 (2018) - 2017
- [j2]Seyed Jalaleddin Mousavirad, Hossein Ebrahimpour-Komleh:
Human mental search: a new population-based metaheuristic optimization algorithm. Appl. Intell. 47(3): 850-887 (2017) - [j1]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): 45-75 (2017)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
