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2020 – today
- 2024
[j48]Davood Zaman Farsa
, Shahryar Rahnamayan, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images. Comput. Oper. Res. 162: 106483 (2024)- [c134]Farnaz Kheiri, Azam Asilian Bidgoli, Masoud Makrehchi, Shahryar Rahnamayan:
Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences. CEC 2024: 1-8 - [c133]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda Ebrahimi, Masoud Makrehchi:
Enhancing Diversity in Multi-Objective Feature Selection. CEC 2024: 1-8 - [c132]Farzaneh Nikbakhtsarvestani, Shahryar Rahnamayan, Mehran Ebrahimi:
Opposition-based Multi-Objective ADAM Optimizer (OMAdam) for Training ANNs. CEC 2024: 1-10 - [c131]Ananda Sutradhar, Azam Asilian Bidgoli, Shahryar Rahnamayan:
COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals. CEC 2024: 1-8 - [i23]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Multi-objective Binary Coordinate Search for Feature Selection. CoRR abs/2402.12616 (2024) - [i22]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Compact NSGA-II for Multi-objective Feature Selection. CoRR abs/2402.12625 (2024) - [i21]Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Training Artificial Neural Networks by Coordinate Search Algorithm. CoRR abs/2402.12646 (2024) - [i20]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli, Sevda Ebrahimi, Masoud Makrehchi:
Enhancing Diversity in Multi-objective Feature Selection. CoRR abs/2407.17795 (2024) - [i19]Rasa Khosrowshahli, Shahryar Rahnamayan, Beatrice M. Ombuki-Berman:
Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning. CoRR abs/2408.07194 (2024) - 2023
- [j47]Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Ranking loss and sequestering learning for reducing image search bias in histopathology. Appl. Soft Comput. 142: 110346 (2023) - [j46]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh:
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. IEEE Trans. Evol. Comput. 27(1): 52-66 (2023) - [c130]Rasa Khosrowshahli, Shahryar Rahnamayan:
Block Differential Evolution. CEC 2023: 1-8 - [c129]Farzaneh Nikbakhtsarvestani, Azam Asilian Bidgoli, Mehran Ebrahimi, Shahryar Rahnamayan:
Multi-Objective Coordinate Search Optimization. CEC 2023: 1-9 - [c128]Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh:
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. ICCV (Workshops) 2023: 2656-2665 - [c127]Farzaneh Nikbakhtsarvestani, Mehran Ebrahimi, Shahryar Rahnamayan:
Multi-objective ADAM Optimizer (MAdam). SMC 2023: 3860-3867 - [c126]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Compact NSGA-II for Multi-objective Feature Selection. SMC 2023: 3868-3875 - [c125]Vida Gharavian, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
A Pairwise Surrogate Model using GNN for Evolutionary Optimization. SMC 2023: 3996-4002 - [c124]Rasa Khosrowshahli, Shahryar Rahnamayan, Amin Ibrahim, Masoud Makrehchi:
Ranking Center-based NSGA-II. SMC 2023: 4162-4169 - [c123]Rasa Khosrowshahli, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
Self-Supervised Learning Using Noisy-Latent Augmentation. SMC 2023: 4170-4175 - [c122]Sevil Zanjani Miyandoab, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Multi-Objective Binary Coordinate Search for Feature Selection. SMC 2023: 4176-4183 - [c121]Amin Avan, Farnaz Kheiri, Qusay H. Mahmoud, Akramul Azim, Masoud Makrehchi, Shahryar Rahnamayan:
A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning. SSCI 2023: 539-546 - [c120]Vida Gharavian, Rasa Khosrowshahli, Qusay H. Mahmoud, Masoud Makrehchi, Shahryar Rahnamayan:
Intrusion Detection for Wireless Sensor Network Using Graph Neural Networks. SSCI 2023: 807-813 - [c119]Sevda Ebrahimi, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Opposition-Based Crossover Operation for Differential Evolution Algorithm. SSCI 2023: 965-971 - [c118]Hamidreza Rouzegar, Shahryar Rahnamayan, Azam Asilian Bidgoli, Masoud Makrehchi:
Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation. SSCI 2023: 1120-1125 - [c117]Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Sevil Zanjani Miyandoab, Azam Asilian Bidgoli, Hamid R. Tizhoosh:
Training Artificial Neural Networks by Coordinate Search Algorithm. SSCI 2023: 1540-1546 - [i18]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Hamid R. Tizhoosh:
Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. CoRR abs/2303.00943 (2023) - [i17]Pooria Mazaheri, Azam Asilian Bidgoli, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Ranking Loss and Sequestering Learning for Reducing Image Search Bias in Histopathology. CoRR abs/2304.08498 (2023) - [i16]Milad Sikaroudi, Seyedeh Maryam Hosseini, Shahryar Rahnamayan, Hamid R. Tizhoosh:
ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. CoRR abs/2308.03936 (2023) - 2022
- [j45]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-based benchmarking and visualization for large-scale global optimization. Appl. Intell. 52(4): 4161-4191 (2022) - [j44]Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Shivam Kalra, Manit Zaveri, Clinton J. V. Campbell, Anil Parwani, Liron Pantanowitz, Hamid R. Tizhoosh:
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. Artif. Intell. Medicine 132: 102368 (2022) - [j43]Hanan Hiba, Shahryar Rahnamayan, Azam Asilian Bidgoli, Amin Ibrahim, Rasa khosroshahli:
A comprehensive investigation on novel center-based sampling for large-scale global optimization. Swarm Evol. Comput. 73: 101105 (2022) - [j42]Majid Seydgar, Shahryar Rahnamayan, Pedram Ghamisi, Azam Asilian Bidgoli:
Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c116]Weimin Zhao, Sanaa A. Alwidian, Hancong Ge, Shahryar Rahnamayan, Qusay H. Mahmoud:
Multi-Objective Differential Evolution and Unseen Adversarial Sample Generation. CASCON 2022: 32-41 - [c115]Rasa Khosrowshahli, Shahryar Rahnamayan, Azam Asilian Bidgoli:
Clustering Center-based Differential Evolution. CEC 2022: 1-8 - [c114]Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Hospital-Agnostic Image Representation Learning in Digital Pathology. EMBC 2022: 3055-3058 - [i15]Milad Sikaroudi, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Hospital-Agnostic Image Representation Learning in Digital Pathology. CoRR abs/2204.02404 (2022) - [i14]Amir H. Gandomi, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar:
Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization. CoRR abs/2205.07274 (2022) - 2021
- [j41]Hussien Hegab, Amr Salem, Shahryar Rahnamayan, H. A. Kishawy:
Analysis, modeling, and multi-objective optimization of machining Inconel 718 with nano-additives based minimum quantity coolant. Appl. Soft Comput. 108: 107416 (2021) - [j40]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection. Inf. Sci. 547: 1-17 (2021) - [j39]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
A novel binary many-objective feature selection algorithm for multi-label data classification. Int. J. Mach. Learn. Cybern. 12(7): 2041-2057 (2021) - [c113]Azam Asilian Bidgoli, Shahryar Rahnamayan:
Memetic Differential Evolution Using Coordinate Descent. CEC 2021: 359-366 - [c112]Abdelrahman Elewah, Abeer A. Badawi, Haytham Khalil, Shahryar Rahnamayan, Khalid Elgazzar:
3D-RadViz: Three Dimensional Radial Visualization for Large-Scale Data Visualization. CEC 2021: 1037-1046 - [c111]Davood Zaman Farsa, Azam Asilian Bidgoli, Ehsan Rokhsat-Yazdi, Shahryar Rahnamayan:
Population-based coordinate descent algorithm with majority voting. GECCO Companion 2021: 1283-1289 - [c110]Fateme Azimlu, Shahryar Rahnamayan, Masoud Makrehchi:
House price prediction using clustering and genetic programming along with conducting a comparative study. GECCO Companion 2021: 1809-1816 - [c109]Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. MICCAI (8) 2021: 350-359 - [i13]Shivam Kalra, Mohammed Adnan, Sobhan Hemati, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. CoRR abs/2106.06623 (2021) - 2020
- [j38]Mahda Nasrolahzadeh, Javad Haddadnia, Shahryar Rahnamayan:
Multi-Objective Optimization of Wavelet-Packet-Based Features in Pathological Diagnosis of Alzheimer Using Spontaneous Speech Signals. IEEE Access 8: 112393-112406 (2020) - [j37]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
An evolutionary decomposition-based multi-objective feature selection for multi-label classification. PeerJ Comput. Sci. 6: e261 (2020) - [c108]Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh:
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. AIME 2020: 227-237 - [c107]Azam Asilian Bidgoli, Shahryar Rahnamayan:
A Collective Intelligence Strategy for Enhancing Population-based optimization Algorithms. CEC 2020: 1-9 - [c106]Azam Asilian Bidgoli, Steven Trumble, Shahryar Rahnamayan:
Discovering Numerous Strassen's Equivalent Equations Using a Simple Micro Multimodal GA: Evolution in Action. CEC 2020: 1-8 - [c105]S. Mostapha Kalami Heris, Shahryar Rahnamayan:
Multi-objective Optimal Control of Dynamic Integrated Model of Climate and Economy: Evolution in Action. CEC 2020: 1-8 - [c104]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
A Novel Center-based Differential Evolution Algorithm. CEC 2020: 1-8 - [c103]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan, Gerald Schaefer:
Many-level Image Thresholding using a Center-Based Differential Evolution Algorithm. CEC 2020: 1-7 - [c102]Ehsan Rokhsatyazdi, Shahryar Rahnamayan, Hossein Amirinia, Sakib Ahmed:
Optimizing LSTM Based Network For Forecasting Stock Market. CEC 2020: 1-7 - [c101]Abdullah Irfan, Akash L. Adivishnu, Antonio Sze-To, Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classifying Pneumonia among Chest X-Rays Using Transfer Learning. EMBC 2020: 2186-2189 - [c100]Taher Dehkharghanian, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset. EMBC 2020: 5308-5311 - [c99]Jonathan Gillett, Shahryar Rahnamayan, Masoud Makrehchi, Azam Asilian Bidgoli:
A pareto front-based metric to identify major bitcoin networks influencers. GECCO Companion 2020: 1395-1401 - [c98]Davood Zaman Farsa, Shahryar Rahnamayan:
Discrete Coordinate Descent (DCD). SMC 2020: 184-190 - [c97]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
CenPSO: A Novel Center-based Particle Swarm Optimization Algorithm for Large-scale Optimization. SMC 2020: 2066-2071 - [c96]Shahryar Rahnamayan, Seyed Jalaleddin Mousavirad:
Towards Solving Large-scale Expensive Optimization Problems Efficiently Using Coordinate Descent Algorithm. SMC 2020: 2506-2513 - [c95]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
One-array Differential Evolution Algorithm with a Novel Replacement Strategy for Numerical Optimization. SMC 2020: 2514-2519 - [c94]Khiria Aldwib, Shahryar Rahnamayan, Amin Ibrahim:
Enhancing Parallel Coordinates Visualization Using Genetic Algorithm with Smart Mutation. SMC 2020: 3746-3752 - [c93]Mahda Nasrolahzadeh, Amin Ibrahim, Shahryar Rahnamayan, Javad Haddadnia:
Pareto-RadVis: A Novel Visualization Scheme for Many-objective Optimization. SMC 2020: 3868-3873 - [c92]Berna Kiraz, Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
A Novel Collective Crossover Operator for Genetic Algorithms. SMC 2020: 4204-4209 - [c91]Nelson Vithayathil Varghese, Amritpal Singh, Ashwin Suresh, Shahryar Rahnamayan:
Binary Hybrid Differential Evolution Algorithm for Multi-label Feature Selection. SMC 2020: 4386-4391 - [c90]Bradley Wood, Viraj Patel, Shahryar Rahnamayan:
A Smart Scheme for Variable Selection in Partial Opposition-based Differential Evolution. SSCI 2020: 329-336 - [c89]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
Enhancing SHADE and L-SHADE Algorithms Using Ordered Mutation. SSCI 2020: 337-344 - [c88]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
Evolving Feedforward Neural Networks Using a Quasi-Opposition-Based Differential Evolution for Data Classification. SSCI 2020: 2320-2326 - [i12]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) - [i11]S. Mostapha Kalami Heris, Shahryar Rahnamayan:
Multi-objective Optimal Control of Dynamic Integrated Model of Climate and Economy: Evolution in Action. CoRR abs/2007.00449 (2020) - [i10]Kyle Robert Harrison, Azam Asilian Bidgoli, Shahryar Rahnamayan, Kalyanmoy Deb:
Image-Based Benchmarking and Visualization for Large-Scale Global Optimization. CoRR abs/2007.12332 (2020) - [i9]Aditya Sriram, Shivam Kalra, Morteza Babaie, Brady Kieffer, Waddah Al Drobi, Shahryar Rahnamayan, Hany Kashani, Hamid R. Tizhoosh:
Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. CoRR abs/2008.03553 (2020)
2010 – 2019
- 2019
- [j36]Amir H. Gandomi, Kalyanmoy Deb, Ronald C. Averill, Shahryar Rahnamayan, Mohammad Nabi Omidvar:
Using semi-independent variables to enhance optimization search. Expert Syst. Appl. 120: 279-297 (2019) - [j35]Sedigheh Mahdavi, Shahryar Rahnamayan, Abbas Mahdavi:
Majority voting for discrete population-based optimization algorithms. Soft Comput. 23(1): 1-18 (2019) - [c87]Hanan Hiba, Azam Asilian Bidgoli, Amin Ibrahim, Shahryar Rahnamayan:
CGDE3: An Efficient Center-based Algorithm for Solving Large-scale Multi-objective Optimization Problems. CEC 2019: 350-358 - [c86]Shaimaa Seyam, Khaled H. M. Al-Hamed, Ali M. M. I. Qureshy, Ibrahim Dincer, Martin Agelin-Chaab, Shahryar Rahnamayan:
Multi-objective Optimization of Hydrogen Production in Hybrid Renewable Energy Systems. CEC 2019: 850-857 - [c85]Hanan Hiba, Mohammed El-Abd, Shahryar Rahnamayan:
Improving SHADE with Center-based Mutation for Large-scale Optimization. CEC 2019: 1533-1540 - [c84]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
A Novel Multi-objective Binary Differential Evolution Algorithm for Multi-label Feature Selection. CEC 2019: 1588-1595 - [c83]Khizar Quresh, Shahryar Rahnamayan, Yuping He, Ramiro Liscano:
Enhancing LQR Controller Using Optimized Real-time System by GDE3 and NSGA-II Algorithms and Comparing with Conventional Method. CEC 2019: 2074-2081 - [c82]Azam Asilian Bidgoli, Shahryar Rahnamayan, Sedigheh Mahdavi, Kalyanmoy Deb:
A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers. CEC 2019: 2458-2465 - [c81]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb, Mitra Rahnamayan:
A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm. CEC 2019: 2761-2770 - [c80]Hanan Hiba, Amin Ibrahim, Shahryar Rahnamayan:
Large-scale Optimization Using Center-based Differential Evolution with Dynamic Mutation Scheme. CEC 2019: 3189-3196 - [c79]Azam Asilian Bidgoli, Sedigheh Mahdavi, Shahryar Rahnamayan, Hossein Ebrahimpour-Komleh:
GDE4: The Generalized Differential Evolution with Ordered Mutation. EMO 2019: 101-113 - [c78]Azam Asilian Bidgoli, Shahryar Rahnamayan, Hossein Ebrahimpour-Komleh:
Opposition-Based Multi-objective Binary Differential Evolution for Multi-label Feature Selection. EMO 2019: 553-564 - [c77]Fateme Azimlu, Shahryar Rahnamayan, Masoud Makrehchi, Pedram Karimipour-Fard:
Designing Solar Chimney Power Plant Using Meta-modeling, Multi-objective Optimization, and Innovization. EMO 2019: 731-742 - [c76]Azam Asilian Bidgoli, Hossein Ebrahimpour-Komleh, Shahryar Rahnamayan:
A Many-objective Feature Selection Algorithm for Multi-label Classification Based on Computational Complexity of Features. ICCSE 2019: 85-91 - [c75]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 - [c74]Fateme Azimlu, Shahryar Rahnamayan, Masoud Makrehchi, Naveen Kalra:
Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models. ICCSE 2019: 785-791 - [c73]Khiria Aldwib, Azam Asilian Bidgoli, Shahryar Rahnamayan, Amin Ibrahim:
Proposing a Pareto-VIKOR Ranking Method for Enhancing Parallel Coordinates Visualization. ICCSE 2019: 895-902 - [c72]Seyed Jalaleddin Mousavirad, Shahryar Rahnamayan:
Differential Evolution Algorithm Based on a Competition Scheme. ICCSE 2019: 929-934 - [c71]Mehmet Bilgehan Erdem, Zekiye Erdem, Shahryar Rahnamayan:
Diabetes Mellitus Prediction Using Multi-objective Genetic Programming and Majority Voting. ICCSE 2019: 953-958 - 2018
- [j34]Zakiya Alfughi, Shahryar Rahnamayan, Bekir Yilbas:
Multi-Objective Solar Farm Design Based on Parabolic Collectors. J. Adv. Comput. Intell. Intell. Informatics 22(2): 256-270 (2018) - [j33]Sedigheh Mahdavi, Shahryar Rahnamayan, Mohammad Ebrahim Shiri:
Incremental cooperative coevolution for large-scale global optimization. Soft Comput. 22(6): 2045-2064 (2018) - [j32]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Opposition based learning: A literature review. Swarm Evol. Comput. 39: 1-23 (2018) - [j31]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
3D-RadVis Antenna: Visualization and performance measure for many-objective optimization. Swarm Evol. Comput. 39: 157-176 (2018) - [c70]Sedigheh Mahdavi, Shahryar Rahnamayan:
Length Scale-Based Differential Evolution. CCECE 2018: 1-5 - [c69]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
CenDE: Centroid-Based Differential Evolution. CCECE 2018: 1-4 - [c68]Faizan Khan, Ali Sunbul, Mohammad Y. Ali, Haytham Abdei-Gawad, Shahryar Rahnamayan, Vijay K. Sood:
Maximum Power Point Tracking in Photovoltaic Farms Using DE and PSO Algorithms: A Comparative Study. CEC 2018: 1-9 - [c67]Syed Raazi Rizvi, Shahryar Rahnamayan:
Interactive Evolutionary Parameter Optimization for Eulerian Video Magnification. SSCI 2018: 10-16 - [c66]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization. SSCI 2018: 2345-2352 - 2017
- [j30]Sedigheh Mahdavi, Shahryar Rahnamayan, Mohammad Ebrahim Shiri:
Cooperative co-evolution with sensitivity analysis-based budget assignment strategy for large-scale global optimization. Appl. Intell. 47(3): 888-913 (2017) - [j29]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Micro-differential evolution: Diversity enhancement and a comparative study. Appl. Soft Comput. 52: 812-833 (2017) - [j28]Sedigheh Mahdavi, Shahryar Rahnamayan, Mohammad Ebrahim Shiri:
Multilevel framework for large-scale global optimization. Soft Comput. 21(14): 4111-4140 (2017) - [j27]Hui Wang, Wenjun Wang, Hui Sun, Zhihua Cui, Shahryar Rahnamayan, Sanyou Zeng:
A new cuckoo search algorithm with hybrid strategies for flow shop scheduling problems. Soft Comput. 21(15): 4297-4307 (2017) - [j26]Hui Wang, Zhihua Cui, Hui Sun, Shahryar Rahnamayan, Xin-She Yang:
Randomly attracted firefly algorithm with neighborhood search and dynamic parameter adjustment mechanism. Soft Comput. 21(18): 5325-5339 (2017) - [c65]Shamim Mashrouteh, Shahryar Rahnamayan, Ebrahim Esmailzadeh:
Optimal vibration control and innovization for rectangular plate. CEC 2017: 549-556 - [c64]Sedigheh Mahdavi, Shahryar Rahnamayan:
Schematic study on interaction and imbalance effects of variables for Large-Scale Optimization. CEC 2017: 657-664 - [c63]Sedigheh Mahdavi, Shahryar Rahnamayan, Chirag Karia:
Analyzing effects of ordering vectors in mutation schemes on performance of Differential Evolution. CEC 2017: 2290-2298 - [c62]Shivam Kalra, Shahryar Rahnamayan, Kalyanmoy Deb:
Enhancing clearing-based niching method using Delaunay Triangulation. CEC 2017: 2328-2337 - [c61]Amin Ibrahim, Miguel Vargas Martin, Shahryar Rahnamayan, Kalyanmoy Deb:
Fusion-based hybrid many-objective optimization algorithm. CEC 2017: 2372-2381 - [c60]Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classification and Retrieval of Digital Pathology Scans: A New Dataset. CVPR Workshops 2017: 760-768 - [c59]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
Fusion of Many-Objective Non-dominated Solutions Using Reference Points. EMO 2017: 314-328 - [c58]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms. EMO 2017: 590-605 - [c57]Hanan Hiba, Sedigheh Mahdavi, Shahryar Rahnamayan:
Differential evolution with center-based mutation for large-scale optimization. SSCI 2017: 1-8 - [c56]Hanan Hiba, Sedigheh Mahdavi, Shahryar Rahnamayan:
Differential evolution with self-adaptive mutation scaling factor. SSCI 2017: 1-8 - [c55]Sedigheh Mahdavi, Shahryar Rahnamayan:
Enhancing discrete differential evolution by conducting election. SSCI 2017: 1-7 - [c54]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Opposition-based ensemble micro-differential evolution. SSCI 2017: 1-8 - [c53]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning autoencoded radon projections. SSCI 2017: 1-5 - [i8]Morteza Babaie, Shivam Kalra, Aditya Sriram, Christopher Mitcheltree, Shujin Zhu, Amin Khatami, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Classification and Retrieval of Digital Pathology Scans: A New Dataset. CoRR abs/1705.07522 (2017) - [i7]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Opposition based Ensemble Micro Differential Evolution. CoRR abs/1709.06909 (2017) - [i6]Aditya Sriram, Shivam Kalra, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning Autoencoded Radon Projections. CoRR abs/1710.01247 (2017) - 2016
- [j25]Hui Wang, Wenjun Wang, Hui Sun, Shahryar Rahnamayan:
Firefly algorithm with random attraction. Int. J. Bio Inspired Comput. 8(1): 33-41 (2016) - [j24]Farzad Khalvati, Aryan Salmanpour, Shahryar Rahnamayan, Masoom A. Haider, Hamid R. Tizhoosh:
Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes. J. Digit. Imaging 29(2): 254-263 (2016) - [j23]Xinyu Zhou, Zhijian Wu, Hui Wang, Shahryar Rahnamayan:
Gaussian bare-bones artificial bee colony algorithm. Soft Comput. 20(3): 907-924 (2016) - [c52]Hamid R. Tizhoosh, Shahryar Rahnamayan:
Evolutionary projection selection for Radon barcodes. CEC 2016: 1-8 - [c51]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Exploration enhancement in ensemble micro-differential evolution. CEC 2016: 63-70 - [c50]Wenjun Wang, Hui Wang, Hui Sun, Shahryar Rahnamayan:
Using opposition-based learning to enhance differential evolution: A comparative study. CEC 2016: 71-77 - [c49]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
3D-RadVis: Visualization of Pareto front in many-objective optimization. CEC 2016: 736-745 - [c48]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin, Kalyanmoy Deb:
EliteNSGA-III: An improved evolutionary many-objective optimization algorithm. CEC 2016: 973-982 - [c47]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization. CEC 2016: 3557-3565 - [c46]A. K. M. Khaled Ahsan Talukder, Kalyanmoy Deb, Shahryar Rahnamayan:
Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme. GECCO (Companion) 2016: 945-951 - [c45]Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Learning opposites using neural networks. ICPR 2016: 1213-1218 - [c44]Sedigheh Mahdavi, Shahryar Rahnamayan, Kalyanmoy Deb:
Partial opposition-based learning using current best candidate solution. SSCI 2016: 1-7 - [c43]Hojjat Salehinejad, Shahryar Rahnamayan:
Customer shopping pattern prediction: A recurrent neural network approach. SSCI 2016: 1-6 - [c42]Hojjat Salehinejad, Shahryar Rahnamayan:
Effects of centralized population initialization in differential evolution. SSCI 2016: 1-8 - [i5]Hamid R. Tizhoosh, Shahryar Rahnamayan:
Evolutionary Projection Selection for Radon Barcodes. CoRR abs/1604.04673 (2016) - [i4]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Automated Resolution Selection for Image Segmentation. CoRR abs/1605.06820 (2016) - [i3]Shivam Kalra, Aditya Sriram, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Learning Opposites Using Neural Networks. CoRR abs/1609.05123 (2016) - 2015
- [j22]Sedigheh Mahdavi, Mohammad Ebrahim Shiri, Shahryar Rahnamayan:
Metaheuristics in large-scale global continues optimization: A survey. Inf. Sci. 295: 407-428 (2015) - [c41]Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Yong Liu:
A modified cuckoo search algorithm for flow shop scheduling problem with blocking. CEC 2015: 456-463 - [c40]Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning opposites with evolving rules. FUZZ-IEEE 2015: 1-8 - [i2]Hamid R. Tizhoosh, Shahryar Rahnamayan:
Learning Opposites with Evolving Rules. CoRR abs/1504.05619 (2015) - [i1]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Micro-Differential Evolution: Diversity Enhancement and Comparative Study. CoRR abs/1512.07980 (2015) - 2014
- [j21]Shahryar Rahnamayan, Jude Jesuthasan, Farid Bourennani, Greg F. Naterer, Hojjat Salehinejad:
Centroid Opposition-Based Differential Evolution. Int. J. Appl. Metaheuristic Comput. 5(4): 1-25 (2014) - [j20]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Hui Sun, Yong Liu, Jeng-Shyang Pan:
Multi-strategy ensemble artificial bee colony algorithm. Inf. Sci. 279: 587-603 (2014) - [j19]Aditya Sriram, Shahryar Rahnamayan, Farid Bourennani:
Artificial Neural Networks for Earthquake Anomaly Detection. J. Adv. Comput. Intell. Intell. Informatics 18(5): 701-713 (2014) - [j18]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Multi-Resolution Level Sets with Shape Priors: A Validation Report for 2D Segmentation of Prostate Gland in T2W MR Images. J. Digit. Imaging 27(6): 833-847 (2014) - [j17]Xinyu Zhou, Zhijian Wu, Hui Wang, Shahryar Rahnamayan:
Enhancing differential evolution with role assignment scheme. Soft Comput. 18(11): 2209-2225 (2014) - [c39]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin:
Simulated Raindrop algorithm for global optimization. CCECE 2014: 1-8 - [c38]Daniel Smullen, Jonathan Gillett, Joseph Heron, Shahryar Rahnamayan:
Genetic algorithm with self-adaptive mutation controlled by chromosome similarity. IEEE Congress on Evolutionary Computation 2014: 504-511 - [c37]Farid Bourennani, Shahryar Rahnamayan, Greg F. Naterer:
MODEL: Multi-objective differential evolution with leadership enhancement. IEEE Congress on Evolutionary Computation 2014: 1131-1138 - [c36]Sedigheh Mahdavi, Mohammad Ebrahim Shiri, Shahryar Rahnamayan:
Cooperative Co-evolution with a new decomposition method for large-scale optimization. IEEE Congress on Evolutionary Computation 2014: 1285-1292 - [c35]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh:
Type-II opposition-based differential evolution. IEEE Congress on Evolutionary Computation 2014: 1768-1775 - [c34]Huichao Liu, Zhijian Wu, Hui Wang, Shahryar Rahnamayan, Changshou Deng:
Improved differential evolution with adaptive opposition strategy. IEEE Congress on Evolutionary Computation 2014: 1776-1783 - [c33]Shahryar Rahnamayan, Jude Jesuthasan, Farid Bourennani, Hojjat Salehinejad, Greg F. Naterer:
Computing opposition by involving entire population. IEEE Congress on Evolutionary Computation 2014: 1800-1807 - [c32]Hojjat Salehinejad, Shahryar Rahnamayan, Hamid R. Tizhoosh, Stephen Y. Chen:
Micro-differential evolution with vectorized random mutation factor. IEEE Congress on Evolutionary Computation 2014: 2055-2062 - [c31]Shaho Shahbazpanahi, Shahryar Rahnamayan:
Finding optimal transformation function for image thresholding using genetic programming. CIMSIVP 2014: 106-113 - [c30]Raazi Rizvi, Shivam Kalra, Chirag Gosalia, Shahryar Rahnamayan:
Fuzzy Adaptive Cruise Control system with speed sign detection capability. FUZZ-IEEE 2014: 968-976 - [c29]Hojjat Salehinejad, Robert Zadeh, Ramiro Liscano, Shahryar Rahnamayan:
3D localization in large-scale Wireless Sensor Networks: A micro-differential evolution approach. PIMRC 2014: 1824-1828 - [c28]Huichao Liu, Zhijian Wu, Huanzhe Li, Hui Wang, Shahryar Rahnamayan, Changshou Deng:
Rotation-Based Learning: A Novel Extension of Opposition-Based Learning. PRICAI 2014: 511-522 - [c27]Amin Ibrahim, Shahryar Rahnamayan, Miguel Vargas Martin:
MDE: Differential evolution with merit-based mutation strategy. SDE 2014: 41-48 - 2013
- [j16]Amin Ibrahim, Farid Bourennani, Shahryar Rahnamayan, Greg F. Naterer:
Optimal Photovoltaic System Design with Multi-Objective Optimization. Int. J. Appl. Metaheuristic Comput. 4(4): 63-89 (2013) - [j15]Hui Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Jeng-Shyang Pan:
Diversity enhanced particle swarm optimization with neighborhood search. Inf. Sci. 223: 119-135 (2013) - [j14]Hui Wang, Shahryar Rahnamayan, Zhijian Wu:
Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems. J. Parallel Distributed Comput. 73(1): 62-73 (2013) - [j13]Hui Wang, Shahryar Rahnamayan, Hui Sun, Mahamed G. H. Omran:
Gaussian Bare-Bones Differential Evolution. IEEE Trans. Cybern. 43(2): 634-647 (2013) - [c26]Hui Wang, Zhijian Wu, Xinyu Zhou, Shahryar Rahnamayan:
Accelerating artificial bee colony algorithm by using an external archive. IEEE Congress on Evolutionary Computation 2013: 517-521 - [c25]Farid Bourennani, Shahryar Rahnamayan, Greg F. Naterer:
Leaders and speed constraint multi-objective particle swarm optimization. IEEE Congress on Evolutionary Computation 2013: 908-915 - 2012
- [j12]Shahryar Rahnamayan, G. Gary Wang, Mario Ventresca:
An intuitive distance-based explanation of opposition-based sampling. Appl. Soft Comput. 12(9): 2828-2839 (2012) - [j11]Hui Wang, Shahryar Rahnamayan, Sanyou Zeng:
Generalised opposition-based differential evolution: an experimental study. Int. J. Comput. Appl. Technol. 43(4): 311-319 (2012) - [j10]Farid Bourennani, Shahryar Rahnamayan, Greg F. Naterer:
OGDE3: Opposition-Based Third Generalized Differential Evolution. J. Adv. Comput. Intell. Intell. Informatics 16(3): 469-480 (2012) - [j9]Arman Darvish, Shahryar Rahnamayan:
Optimal Parameter Setting of Active-Contours Using Differential Evolution and Expert-Segmented Sample Image. J. Adv. Comput. Intell. Intell. Informatics 16(6): 677-686 (2012) - [c24]Ali Esmailzadeh, Shahryar Rahnamayan:
Center-point-based Simulated Annealing. CCECE 2012: 1-4 - [c23]Arman Darvish, Shahryar Rahnamayan, Zaid Salami Mohamad:
Interactive differential evolution for prostate ultrasound image thresholding. GECCO (Companion) 2012: 501-508 - 2011
- [j8]Wenjun Wang, Hui Wang, Shahryar Rahnamayan:
Improving comprehensive learning particle swarm optimiser using generalised opposition-based learning. Int. J. Model. Identif. Control. 14(4): 310-316 (2011) - [j7]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Yong Liu, Mario Ventresca:
Enhancing particle swarm optimization using generalized opposition-based learning. Inf. Sci. 181(20): 4699-4714 (2011) - [j6]Hui Wang, Zhijian Wu, Shahryar Rahnamayan:
Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems. Soft Comput. 15(11): 2127-2140 (2011) - [c22]Mohsen Mousavi, Shaikh Hoque, Shahryar Rahnamayan, Ibrahim Dincer, Greg F. Naterer:
Optimal design of an air-cooling system for a Li-Ion battery pack in Electric Vehicles with a genetic algorithm. IEEE Congress on Evolutionary Computation 2011: 1848-1855 - [c21]Hui Wang, Shahryar Rahnamayan, Zhijian Wu:
Adaptive Differential Evolution with variable population size for solving high-dimensional problems. IEEE Congress on Evolutionary Computation 2011: 2626-2632 - [c20]Ali Esmailzadeh, Shahryar Rahnamayan:
Enhanced Differential Evolution using center-based sampling. IEEE Congress on Evolutionary Computation 2011: 2641-2648 - [c19]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Multi-resolution level set image segmentation using wavelets. ICIP 2011: 269-272 - [c18]Ali Esmailzadeh, Shahryar Rahnamayan:
Opposition-based Differential Evolution with protective generation jumping. SDE 2011: 57-64 - [c17]Zaid Salami Mohamad, Arman Darvish, Shahryar Rahnamayan:
Eye illusion enhancement using interactive Differential Evolution. SDE 2011: 135-141 - 2010
- [j5]Mario Ventresca, Shahryar Rahnamayan, Hamid R. Tizhoosh:
A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918]. Appl. Soft Comput. 10(3): 956-957 (2010) - [c16]Ali Esmailzadeh, Shahryar Rahnamayan:
Fighting noise with noise: DE with individuals shaking to tackle noisy problems. IEEE Congress on Evolutionary Computation 2010: 1-9 - [c15]Hui Wang, Zhijian Wu, Shahryar Rahnamayan:
Differential Evolution enhanced by neighborhood search. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c14]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Dazhi Jiang:
Sequential DE enhanced by neighborhood search for Large Scale Global Optimization. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c13]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Oppositional fuzzy image thresholding. FUZZ-IEEE 2010: 1-7 - [c12]Fares S. Al-Qunaieer, Hamid R. Tizhoosh, Shahryar Rahnamayan:
Opposition based computing - A survey. IJCNN 2010: 1-7 - [c11]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Jing Wang:
Diversity Analysis of Opposition-Based Differential Evolution - An Experimental Study. ISICA (1) 2010: 95-102
2000 – 2009
- 2009
- [j4]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples. J. Adv. Comput. Intell. Intell. Informatics 13(2): 115-127 (2009) - [c10]Shahryar Rahnamayan, G. Gary Wang:
Center-based sampling for population-based algorithms. IEEE Congress on Evolutionary Computation 2009: 933-938 - [c9]Hui Wang, Zhijian Wu, Shahryar Rahnamayan, Lishan Kang:
A Scalability Test for Accelerated DE Using Generalized Opposition-Based Learning. ISDA 2009: 1090-1095 - 2008
- [j3]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition versus randomness in soft computing techniques. Appl. Soft Comput. 8(2): 906-918 (2008) - [j2]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition-Based Differential Evolution. IEEE Trans. Evol. Comput. 12(1): 64-79 (2008) - [c8]Shahryar Rahnamayan, Hamid R. Tizhoosh:
Image thresholding using micro opposition-based Differential Evolution (Micro-ODE). IEEE Congress on Evolutionary Computation 2008: 1409-1416 - [p2]Hamid R. Tizhoosh, Mario Ventresca, Shahryar Rahnamayan:
Opposition-Based Computing. Oppositional Concepts in Computational Intelligence 2008: 11-28 - [p1]Shahryar Rahnamayan, Hamid R. Tizhoosh:
Differential Evolution Via Exploiting Opposite Populations. Oppositional Concepts in Computational Intelligence 2008: 143-160 - 2007
- [b1]Shahryar Rahnamayan:
Opposition-Based Differential Evolution. University of Waterloo, Ontario, Canada, 2007 - [j1]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
A novel population initialization method for accelerating evolutionary algorithms. Comput. Math. Appl. 53(10): 1605-1614 (2007) - [c7]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Quasi-oppositional Differential Evolution. IEEE Congress on Evolutionary Computation 2007: 2229-2236 - [c6]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate. FOCI 2007: 81-88 - 2006
- [c5]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition-Based Differential Evolution for Optimization of Noisy Problems. IEEE Congress on Evolutionary Computation 2006: 1865-1872 - [c4]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Opposition-Based Differential Evolution Algorithms. IEEE Congress on Evolutionary Computation 2006: 2010-2017 - [c3]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Weighted Voting-Based Robust Image Thresholding. ICIP 2006: 1129-1132 - [c2]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Image Thresholding Using Differential Evolution. IPCV 2006: 244-249 - 2005
- [c1]Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M. A. Salama:
Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images. ICIAR 2005: 930-937
Coauthor Index
[j48] [i21] [j47] [j46] [c128] [c117] [i18] [i17] [i16] [j44] [c114] [i15] [c109] [i13] [c108] [c101] [c100] [i9] [c69] [j29] [c60] [c54] [c53] [i8] [i7] [i6] [j24] [c52] [c51] [c45] [i5] [i4] [i3] [c40] [i2] [i1] [j18] [c35] [c32] [c19] [j5] [c13] [c12] [j4] [j3] [j2] [c8] [p2] [p1] [j1] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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