Automated Snake Initialization for the Segmentation of the Prostate in Ultrasound Images. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (ICIAR, 2005)

Opposition-Based Differential Evolution for Optimization of Noisy Problems. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IEEE Congress on Evolutionary Computation, 2006)

Opposition-Based Differential Evolution Algorithms. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IEEE Congress on Evolutionary Computation, 2006)

Weighted Voting-Based Robust Image Thresholding. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (ICIP, 2006)

Image Thresholding Using Differential Evolution. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IPCV, 2006)

Quasi-oppositional Differential Evolution. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IEEE Congress on Evolutionary Computation, 2007)

Opposition-Based Differential Evolution (ODE) with Variable Jumping Rate. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (FOCI, 2007)

A novel population initialization method for accelerating evolutionary algorithms. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (Comput. Math. Appl., 2007)

Opposition-Based Differential Evolution. - Shahryar Rahnamayan (2007)

Image thresholding using micro opposition-based Differential Evolution (Micro-ODE). - Shahryar Rahnamayan; Hamid R. Tizhoosh (IEEE Congress on Evolutionary Computation, 2008)

Opposition versus randomness in soft computing techniques. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (Appl. Soft Comput., 2008)

Opposition-Based Differential Evolution. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (IEEE Trans. Evol. Comput., 2008)

Differential Evolution Via Exploiting Opposite Populations. - Shahryar Rahnamayan; Hamid R. Tizhoosh (Oppositional Concepts in Computational Intelligence, 2008)

Opposition-Based Computing. - Hamid R. Tizhoosh; Mario Ventresca; Shahryar Rahnamayan (Oppositional Concepts in Computational Intelligence, 2008)

Center-based sampling for population-based algorithms. - Shahryar Rahnamayan; G. Gary Wang (IEEE Congress on Evolutionary Computation, 2009)

A Scalability Test for Accelerated DE Using Generalized Opposition-Based Learning. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan; Lishan Kang (ISDA, 2009)

Automatic Acquisition of Image Filtering and Object Extraction Procedures from Ground-Truth Samples. - Shahryar Rahnamayan; Hamid R. Tizhoosh; Magdy M. A. Salama (J. Adv. Comput. Intell. Intell. Informatics, 2009)

Fighting noise with noise: DE with individuals shaking to tackle noisy problems. - Ali Esmailzadeh; Shahryar Rahnamayan (IEEE Congress on Evolutionary Computation, 2010)

Differential Evolution enhanced by neighborhood search. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan (IEEE Congress on Evolutionary Computation, 2010)

Sequential DE enhanced by neighborhood search for Large Scale Global Optimization. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan; Dazhi Jiang (IEEE Congress on Evolutionary Computation, 2010)

Oppositional fuzzy image thresholding. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (FUZZ-IEEE, 2010)

Opposition based computing - A survey. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (IJCNN, 2010)

Diversity Analysis of Opposition-Based Differential Evolution - An Experimental Study. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan; Jing Wang 110 (ISICA (1), 2010)

A note on "Opposition versus randomness in soft computing techniques" [Appl. Soft Comput 8 (2) (2008) 906-918]. - Mario Ventresca; Shahryar Rahnamayan; Hamid R. Tizhoosh (Appl. Soft Comput., 2010)

Enhanced Differential Evolution using center-based sampling. - Ali Esmailzadeh; Shahryar Rahnamayan (IEEE Congress on Evolutionary Computation, 2011)

Optimal design of an air-cooling system for a Li-Ion battery pack in Electric Vehicles with a genetic algorithm. - Mohsen Mousavi; Shaikh Hoque; Shahryar Rahnamayan; Ibrahim Dincer; Greg F. Naterer (IEEE Congress on Evolutionary Computation, 2011)

Adaptive Differential Evolution with variable population size for solving high-dimensional problems. - Hui Wang 002; Shahryar Rahnamayan; Zhijian Wu (IEEE Congress on Evolutionary Computation, 2011)

Multi-resolution level set image segmentation using wavelets. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (ICIP, 2011)

Opposition-based Differential Evolution with protective generation jumping. - Ali Esmailzadeh; Shahryar Rahnamayan (SDE, 2011)

Eye illusion enhancement using interactive Differential Evolution. - Zaid Salami Mohamad; Arman Darvish; Shahryar Rahnamayan (SDE, 2011)

Improving comprehensive learning particle swarm optimiser using generalised opposition-based learning. - Wenjun Wang 001; Hui Wang 002; Shahryar Rahnamayan (Int. J. Model. Identif. Control., 2011)

Enhancing particle swarm optimization using generalized opposition-based learning. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan; Yong Liu 012; Mario Ventresca (Inf. Sci., 2011)

Enhanced opposition-based differential evolution for solving high-dimensional continuous optimization problems. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan (Soft Comput., 2011)

Center-point-based Simulated Annealing. - Ali Esmailzadeh; Shahryar Rahnamayan (CCECE, 2012)

Interactive differential evolution for prostate ultrasound image thresholding. - Arman Darvish; Shahryar Rahnamayan; Zaid Salami Mohamad (GECCO (Companion), 2012)

An intuitive distance-based explanation of opposition-based sampling. - Shahryar Rahnamayan; G. Gary Wang; Mario Ventresca (Appl. Soft Comput., 2012)

Generalised opposition-based differential evolution: an experimental study. - Hui Wang 002; Shahryar Rahnamayan; Sanyou Zeng (Int. J. Comput. Appl. Technol., 2012)

OGDE3: Opposition-Based Third Generalized Differential Evolution. - Farid Bourennani; Shahryar Rahnamayan; Greg F. Naterer (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Optimal Parameter Setting of Active-Contours Using Differential Evolution and Expert-Segmented Sample Image. - Arman Darvish; Shahryar Rahnamayan (J. Adv. Comput. Intell. Intell. Informatics, 2012)

Accelerating artificial bee colony algorithm by using an external archive. - Hui Wang 002; Zhijian Wu; Xinyu Zhou 002; Shahryar Rahnamayan (IEEE Congress on Evolutionary Computation, 2013)

Leaders and speed constraint multi-objective particle swarm optimization. - Farid Bourennani; Shahryar Rahnamayan; Greg F. Naterer (IEEE Congress on Evolutionary Computation, 2013)

Optimal Photovoltaic System Design with Multi-Objective Optimization. - Amin Ibrahim; Farid Bourennani; Shahryar Rahnamayan; Greg F. Naterer (Int. J. Appl. Metaheuristic Comput., 2013)

Diversity enhanced particle swarm optimization with neighborhood search. - Hui Wang 002; Hui Sun 001; Changhe Li; Shahryar Rahnamayan; Jeng-Shyang Pan 001 (Inf. Sci., 2013)

Parallel differential evolution with self-adapting control parameters and generalized opposition-based learning for solving high-dimensional optimization problems. - Hui Wang 002; Shahryar Rahnamayan; Zhijian Wu (J. Parallel Distributed Comput., 2013)

Gaussian Bare-Bones Differential Evolution. - Hui Wang 002; Shahryar Rahnamayan; Hui Sun 001; Mahamed G. H. Omran (IEEE Trans. Cybern., 2013)

Simulated Raindrop algorithm for global optimization. - Amin Ibrahim; Shahryar Rahnamayan; Miguel Vargas Martin (CCECE, 2014)

MODEL: Multi-objective differential evolution with leadership enhancement. - Farid Bourennani; Shahryar Rahnamayan; Greg F. Naterer (IEEE Congress on Evolutionary Computation, 2014)

Improved differential evolution with adaptive opposition strategy. - Huichao Liu; Zhijian Wu; Hui Wang 002; Shahryar Rahnamayan; Changshou Deng (IEEE Congress on Evolutionary Computation, 2014)

Cooperative Co-evolution with a new decomposition method for large-scale optimization. - Sedigheh Mahdavi; Mohammad Ebrahim Shiri; Shahryar Rahnamayan (IEEE Congress on Evolutionary Computation, 2014)

Computing opposition by involving entire population. - Shahryar Rahnamayan; Jude Jesuthasan; Farid Bourennani; Hojjat Salehinejad; Greg F. Naterer (IEEE Congress on Evolutionary Computation, 2014)

Type-II opposition-based differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (IEEE Congress on Evolutionary Computation, 2014)

Micro-differential evolution with vectorized random mutation factor. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh; Stephen Y. Chen (IEEE Congress on Evolutionary Computation, 2014)

Genetic algorithm with self-adaptive mutation controlled by chromosome similarity. - Daniel Smullen; Jonathan Gillett; Joseph Heron; Shahryar Rahnamayan (IEEE Congress on Evolutionary Computation, 2014)

Finding optimal transformation function for image thresholding using genetic programming. - Shaho Shahbazpanahi; Shahryar Rahnamayan (CIMSIVP, 2014)

Fuzzy Adaptive Cruise Control system with speed sign detection capability. - Raazi Rizvi; Shivam Kalra; Chirag Gosalia; Shahryar Rahnamayan (FUZZ-IEEE, 2014)

3D localization in large-scale Wireless Sensor Networks: A micro-differential evolution approach. - Hojjat Salehinejad; Robert Zadeh; Ramiro Liscano; Shahryar Rahnamayan (PIMRC, 2014)

Rotation-Based Learning: A Novel Extension of Opposition-Based Learning. - Huichao Liu; Zhijian Wu; Huanzhe Li; Hui Wang 002; Shahryar Rahnamayan; Changshou Deng (PRICAI, 2014)

MDE: Differential evolution with merit-based mutation strategy. - Amin Ibrahim; Shahryar Rahnamayan; Miguel Vargas Martin (SDE, 2014)

Centroid Opposition-Based Differential Evolution. - Shahryar Rahnamayan; Jude Jesuthasan; Farid Bourennani; Greg F. Naterer; Hojjat Salehinejad (Int. J. Appl. Metaheuristic Comput., 2014)

Multi-strategy ensemble artificial bee colony algorithm. - Hui Wang 002; Zhijian Wu; Shahryar Rahnamayan; Hui Sun 001; Yong Liu 012; Jeng-Shyang Pan 001 (Inf. Sci., 2014)

Artificial Neural Networks for Earthquake Anomaly Detection. - Aditya Sriram; Shahryar Rahnamayan; Farid Bourennani (J. Adv. Comput. Intell. Intell. Informatics, 2014)

Multi-Resolution Level Sets with Shape Priors: A Validation Report for 2D Segmentation of Prostate Gland in T2W MR Images. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (J. Digit. Imaging, 2014)

Enhancing differential evolution with role assignment scheme. - Xinyu Zhou 002; Zhijian Wu; Hui Wang 002; Shahryar Rahnamayan (Soft Comput., 2014)

A modified cuckoo search algorithm for flow shop scheduling problem with blocking. - Hui Wang 002; Wenjun Wang 001; Hui Sun 001; Changhe Li; Shahryar Rahnamayan; Yong Liu 012 (CEC, 2015)

Learning opposites with evolving rules. - Hamid R. Tizhoosh; Shahryar Rahnamayan (FUZZ-IEEE, 2015)

Metaheuristics in large-scale global continues optimization: A survey. - Sedigheh Mahdavi; Mohammad Ebrahim Shiri; Shahryar Rahnamayan (Inf. Sci., 2015)

3D-RadVis: Visualization of Pareto front in many-objective optimization. - Amin Ibrahim; Shahryar Rahnamayan; Miguel Vargas Martin; Kalyanmoy Deb (CEC, 2016)

EliteNSGA-III: An improved evolutionary many-objective optimization algorithm. - Amin Ibrahim; Shahryar Rahnamayan; Miguel Vargas Martin; Kalyanmoy Deb (CEC, 2016)

Center-based initialization of cooperative co-evolutionary algorithm for large-scale optimization. - Sedigheh Mahdavi; Shahryar Rahnamayan; Kalyanmoy Deb (CEC, 2016)

Exploration enhancement in ensemble micro-differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (CEC, 2016)

Evolutionary projection selection for Radon barcodes. - Hamid R. Tizhoosh; Shahryar Rahnamayan (CEC, 2016)

Using opposition-based learning to enhance differential evolution: A comparative study. - Wenjun Wang 001; Hui Wang 002; Hui Sun 001; Shahryar Rahnamayan (CEC, 2016)

Maintaining Diversity in The Bounded Pareto-Set: A Case of Opposition Based Solution Generation Scheme. - A. K. M. Khaled Ahsan Talukder; Kalyanmoy Deb; Shahryar Rahnamayan (GECCO (Companion), 2016)

Learning opposites using neural networks. - Shivam Kalra; Aditya Sriram; Shahryar Rahnamayan; Hamid R. Tizhoosh (ICPR, 2016)

Partial opposition-based learning using current best candidate solution. - Sedigheh Mahdavi; Shahryar Rahnamayan; Kalyanmoy Deb (SSCI, 2016)

Customer shopping pattern prediction: A recurrent neural network approach. - Hojjat Salehinejad; Shahryar Rahnamayan (SSCI, 2016)

Effects of centralized population initialization in differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan (SSCI, 2016)

Automated Resolution Selection for Image Segmentation. - Fares S. Al-Qunaieer; Hamid R. Tizhoosh; Shahryar Rahnamayan (CoRR, 2016)

Firefly algorithm with random attraction. - Hui Wang 002; Wenjun Wang 001; Hui Sun 001; Shahryar Rahnamayan (Int. J. Bio Inspired Comput., 2016)

Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes. - Farzad Khalvati; Aryan Salmanpour; Shahryar Rahnamayan; Masoom A. Haider; Hamid R. Tizhoosh (J. Digit. Imaging, 2016)

Gaussian bare-bones artificial bee colony algorithm. - Xinyu Zhou 002; Zhijian Wu; Hui Wang 002; Shahryar Rahnamayan (Soft Comput., 2016)

Fusion-based hybrid many-objective optimization algorithm. - Amin Ibrahim; Miguel Vargas Martin; Shahryar Rahnamayan; Kalyanmoy Deb (CEC, 2017)

Enhancing clearing-based niching method using Delaunay Triangulation. - Shivam Kalra; Shahryar Rahnamayan; Kalyanmoy Deb (CEC, 2017)

Schematic study on interaction and imbalance effects of variables for Large-Scale Optimization. - Sedigheh Mahdavi; Shahryar Rahnamayan (CEC, 2017)

Analyzing effects of ordering vectors in mutation schemes on performance of Differential Evolution. - Sedigheh Mahdavi; Shahryar Rahnamayan; Chirag Karia (CEC, 2017)

Optimal vibration control and innovization for rectangular plate. - Shamim Mashrouteh; Shahryar Rahnamayan; Ebrahim Esmailzadeh (CEC, 2017)

Classification and Retrieval of Digital Pathology Scans: A New Dataset. - Morteza Babaie; Shivam Kalra; Aditya Sriram; Christopher Mitcheltree; Shujin Zhu; Amin Khatami; Shahryar Rahnamayan; Hamid R. Tizhoosh (CVPR Workshops, 2017)

Fusion of Many-Objective Non-dominated Solutions Using Reference Points. - Amin Ibrahim; Shahryar Rahnamayan; Miguel Vargas Martin; Kalyanmoy Deb (EMO, 2017)

Injection of Extreme Points in Evolutionary Multiobjective Optimization Algorithms. - A. K. M. Khaled Ahsan Talukder; Kalyanmoy Deb; Shahryar Rahnamayan (EMO, 2017)

Differential evolution with center-based mutation for large-scale optimization. - Hanan Hiba; Sedigheh Mahdavi; Shahryar Rahnamayan (SSCI, 2017)

Differential evolution with self-adaptive mutation scaling factor. - Hanan Hiba; Sedigheh Mahdavi; Shahryar Rahnamayan (SSCI, 2017)

Enhancing discrete differential evolution by conducting election. - Sedigheh Mahdavi; Shahryar Rahnamayan (SSCI, 2017)

Opposition-based ensemble micro-differential evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (SSCI, 2017)

Learning autoencoded radon projections. - Aditya Sriram; Shivam Kalra; Hamid R. Tizhoosh; Shahryar Rahnamayan (SSCI, 2017)

Cooperative co-evolution with sensitivity analysis-based budget assignment strategy for large-scale global optimization. - Sedigheh Mahdavi; Shahryar Rahnamayan; Mohammad Ebrahim Shiri (Appl. Intell., 2017)

Micro-differential evolution: Diversity enhancement and a comparative study. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (Appl. Soft Comput., 2017)

Multilevel framework for large-scale global optimization. - Sedigheh Mahdavi; Shahryar Rahnamayan; Mohammad Ebrahim Shiri (Soft Comput., 2017)

Randomly attracted firefly algorithm with neighborhood search and dynamic parameter adjustment mechanism. - Hui Wang 002; Zhihua Cui; Hui Sun 001; Shahryar Rahnamayan; Xin-She Yang 001 (Soft Comput., 2017)

A new cuckoo search algorithm with hybrid strategies for flow shop scheduling problems. - Hui Wang 002; Wenjun Wang 001; Hui Sun 001; Zhihua Cui; Shahryar Rahnamayan; Sanyou Zeng (Soft Comput., 2017)

Length Scale-Based Differential Evolution. - Sedigheh Mahdavi; Shahryar Rahnamayan (CCECE, 2018)

CenDE: Centroid-Based Differential Evolution. - Hojjat Salehinejad; Shahryar Rahnamayan; Hamid R. Tizhoosh (CCECE, 2018)

Maximum Power Point Tracking in Photovoltaic Farms Using DE and PSO Algorithms: A Comparative Study. - Faizan Khan; Ali Sunbul; Mohammad Y. Ali; Haytham Abdei-Gawad; Shahryar Rahnamayan; Vijay K. Sood (CEC, 2018)

Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective optimization. - Amin Ibrahim; Shahryar Rahnamayan; Miguel Vargas Martin; Kalyanmoy Deb (SSCI, 2018)

Interactive Evolutionary Parameter Optimization for Eulerian Video Magnification. - Syed Raazi Rizvi; Shahryar Rahnamayan (SSCI, 2018)

Multi-Objective Solar Farm Design Based on Parabolic Collectors. - Zakiya Alfughi; Shahryar Rahnamayan; Bekir Yilbas (J. Adv. Comput. Intell. Intell. Informatics, 2018)

Incremental cooperative coevolution for large-scale global optimization. - Sedigheh Mahdavi; Shahryar Rahnamayan; Mohammad Ebrahim Shiri (Soft Comput., 2018)

3D-RadVis Antenna: Visualization and performance measure for many-objective optimization. - Amin Ibrahim; Shahryar Rahnamayan; Miguel Vargas Martin; Kalyanmoy Deb (Swarm Evol. Comput., 2018)

Opposition based learning: A literature review. - Sedigheh Mahdavi; Shahryar Rahnamayan; Kalyanmoy Deb (Swarm Evol. Comput., 2018)

A Novel Multi-objective Binary Differential Evolution Algorithm for Multi-label Feature Selection. - Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Shahryar Rahnamayan (CEC, 2019)

A Novel Pareto-VIKOR Index for Ranking Scientists' Publication Impacts: A Case Study on Evolutionary Computation Researchers. - Azam Asilian Bidgoli; Shahryar Rahnamayan; Sedigheh Mahdavi; Kalyanmoy Deb (CEC, 2019)

CGDE3: An Efficient Center-based Algorithm for Solving Large-scale Multi-objective Optimization Problems. - Hanan Hiba; Azam Asilian Bidgoli; Amin Ibrahim; Shahryar Rahnamayan (CEC, 2019)

Improving SHADE with Center-based Mutation for Large-scale Optimization. - Hanan Hiba; Mohammed El-Abd; Shahryar Rahnamayan (CEC, 2019)

Large-scale Optimization Using Center-based Differential Evolution with Dynamic Mutation Scheme. - Hanan Hiba; Amin Ibrahim; Shahryar Rahnamayan (CEC, 2019)

A Knowledge Discovery of Relationships among Dataset Entities Using Optimum Hierarchical Clustering by DE Algorithm. - Sedigheh Mahdavi; Shahryar Rahnamayan; Kalyanmoy Deb; Mitra Rahnamayan (CEC, 2019)

Enhancing LQR Controller Using Optimized Real-time System by GDE3 and NSGA-II Algorithms and Comparing with Conventional Method. - Khizar Quresh; Shahryar Rahnamayan; Yuping He; Ramiro Liscano (CEC, 2019)

Multi-objective Optimization of Hydrogen Production in Hybrid Renewable Energy Systems. - Shaimaa Seyam; Khaled H. M. Al-Hamed; Ali M. M. I. Qureshy; Ibrahim Dincer; Martin Agelin-Chaab; Shahryar Rahnamayan (CEC, 2019)

Designing Solar Chimney Power Plant Using Meta-modeling, Multi-objective Optimization, and Innovization. - Fateme Azimlu; Shahryar Rahnamayan; Masoud Makrehchi; Pedram Karimipour-Fard (EMO, 2019)

GDE4: The Generalized Differential Evolution with Ordered Mutation. - Azam Asilian Bidgoli; Sedigheh Mahdavi; Shahryar Rahnamayan; Hossein Ebrahimpour-Komleh (EMO, 2019)

Opposition-Based Multi-objective Binary Differential Evolution for Multi-label Feature Selection. - Azam Asilian Bidgoli; Shahryar Rahnamayan; Hossein Ebrahimpour-Komleh (EMO, 2019)

Proposing a Pareto-VIKOR Ranking Method for Enhancing Parallel Coordinates Visualization. - Khiria Aldwib; Azam Asilian Bidgoli; Shahryar Rahnamayan; Amin Ibrahim (ICCSE, 2019)

Comparing Genetic Programming with Other Data Mining Techniques on Prediction Models. - Fateme Azimlu; Shahryar Rahnamayan; Masoud Makrehchi; Naveen Kalra (ICCSE, 2019)

A Many-objective Feature Selection Algorithm for Multi-label Classification Based on Computational Complexity of Features. - Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Shahryar Rahnamayan (ICCSE, 2019)

Diabetes Mellitus Prediction Using Multi-objective Genetic Programming and Majority Voting. - Mehmet Bilgehan Erdem; Zekiye Erdem; Shahryar Rahnamayan (ICCSE, 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)

Using semi-independent variables to enhance optimization search. - Amir H. Gandomi; Kalyanmoy Deb; Ronald C. Averill; Shahryar Rahnamayan; Mohammad Nabi Omidvar (Expert Syst. Appl., 2019)

Majority voting for discrete population-based optimization algorithms. - Sedigheh Mahdavi; Shahryar Rahnamayan; Abbas Mahdavi (Soft Comput., 2019)

Forming Local Intersections of Projections for Classifying and Searching Histopathology Images. - Aditya Sriram; Shivam Kalra; Morteza Babaie; Brady Kieffer; Waddah Al Drobi; Shahryar Rahnamayan; Hany Kashani; Hamid R. Tizhoosh (AIME, 2020)

A Collective Intelligence Strategy for Enhancing Population-based optimization Algorithms. - Azam Asilian Bidgoli; Shahryar Rahnamayan (CEC, 2020)

Discovering Numerous Strassen's Equivalent Equations Using a Simple Micro Multimodal GA: Evolution in Action. - Azam Asilian Bidgoli; Steven Trumble; Shahryar Rahnamayan (CEC, 2020)

Multi-objective Optimal Control of Dynamic Integrated Model of Climate and Economy: Evolution in Action. - S. Mostapha Kalami Heris; Shahryar Rahnamayan (CEC, 2020)

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)

Optimizing LSTM Based Network For Forecasting Stock Market. - Ehsan Rokhsatyazdi; Shahryar Rahnamayan; Hossein Amirinia; Sakib Ahmed (CEC, 2020)

Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset. - Taher Dehkharghanian; Shahryar Rahnamayan; Hamid R. Tizhoosh (EMBC, 2020)

Classifying Pneumonia among Chest X-Rays Using Transfer Learning. - Abdullah Irfan; Akash L. Adivishnu; Antonio Sze-To; Taher Dehkharghanian; Shahryar Rahnamayan; Hamid R. Tizhoosh (EMBC, 2020)

A pareto front-based metric to identify major bitcoin networks influencers. - Jonathan Gillett; Shahryar Rahnamayan; Masoud Makrehchi; Azam Asilian Bidgoli (GECCO Companion, 2020)

Enhancing Parallel Coordinates Visualization Using Genetic Algorithm with Smart Mutation. - Khiria Aldwib; Shahryar Rahnamayan; Amin Ibrahim (SMC, 2020)

Discrete Coordinate Descent (DCD). - Davood Zaman Farsa; Shahryar Rahnamayan (SMC, 2020)

A Novel Collective Crossover Operator for Genetic Algorithms. - Berna Kiraz; Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Shahryar Rahnamayan (SMC, 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)

Pareto-RadVis: A Novel Visualization Scheme for Many-objective Optimization. - Mahda Nasrolahzadeh; Amin Ibrahim; Shahryar Rahnamayan; Javad Haddadnia (SMC, 2020)

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

Binary Hybrid Differential Evolution Algorithm for Multi-label Feature Selection. - Nelson Vithayathil Varghese; Amritpal Singh; Ashwin Suresh; Shahryar Rahnamayan (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 Smart Scheme for Variable Selection in Partial Opposition-based Differential Evolution. - Bradley Wood; Viraj Patel; Shahryar Rahnamayan (SSCI, 2020)

Multi-Objective Optimization of Wavelet-Packet-Based Features in Pathological Diagnosis of Alzheimer Using Spontaneous Speech Signals. - Mahda Nasrolahzadeh; Javad Haddadnia; Shahryar Rahnamayan (IEEE Access, 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)

An evolutionary decomposition-based multi-objective feature selection for multi-label classification. - Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Shahryar Rahnamayan (PeerJ Comput. Sci., 2020)

Memetic Differential Evolution Using Coordinate Descent. - Azam Asilian Bidgoli; Shahryar Rahnamayan (CEC, 2021)

3D-RadViz: Three Dimensional Radial Visualization for Large-Scale Data Visualization. - Abdelrahman Elewah; Abeer A. Badawi; Haytham Khalil; Shahryar Rahnamayan; Khalid Elgazzar (CEC, 2021)

House price prediction using clustering and genetic programming along with conducting a comparative study. - Fateme Azimlu; Shahryar Rahnamayan; Masoud Makrehchi (GECCO Companion, 2021)

Population-based coordinate descent algorithm with majority voting. - Davood Zaman Farsa; Azam Asilian Bidgoli; Ehsan Rokhsat-Yazdi; Shahryar Rahnamayan (GECCO Companion, 2021)

Pay Attention with Focus: A Novel Learning Scheme for Classification of Whole Slide Images. - Shivam Kalra; Mohammed Adnan; Sobhan Hemati; Taher Dehkharghanian; Shahryar Rahnamayan; Hamid R. Tizhoosh (MICCAI (8), 2021)

Analysis, modeling, and multi-objective optimization of machining Inconel 718 with nano-additives based minimum quantity coolant. - Hussien Hegab; Amr Salem; Shahryar Rahnamayan; H. A. Kishawy (Appl. Soft Comput., 2021)

Reference-point-based multi-objective optimization algorithm with opposition-based voting scheme for multi-label feature selection. - Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Shahryar Rahnamayan (Inf. Sci., 2021)

A novel binary many-objective feature selection algorithm for multi-label data classification. - Azam Asilian Bidgoli; Hossein Ebrahimpour-Komleh; Shahryar Rahnamayan (Int. J. Mach. Learn. Cybern., 2021)

Multi-Objective Differential Evolution and Unseen Adversarial Sample Generation. - Weimin Zhao; Sanaa A. Alwidian; Hancong Ge; Shahryar Rahnamayan; Qusay H. Mahmoud (CASCON, 2022)

Clustering Center-based Differential Evolution. - Rasa Khosrowshahli; Shahryar Rahnamayan; Azam Asilian Bidgoli (CEC, 2022)

Hospital-Agnostic Image Representation Learning in Digital Pathology. - Milad Sikaroudi; Shahryar Rahnamayan; Hamid R. Tizhoosh (EMBC, 2022)

Image-based benchmarking and visualization for large-scale global optimization. - Kyle Robert Harrison; Azam Asilian Bidgoli; Shahryar Rahnamayan; Kalyanmoy Deb (Appl. Intell., 2022)

Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. - Azam Asilian Bidgoli; Shahryar Rahnamayan; Taher Dehkharghanian; Abtin Riasatian; Shivam Kalra; Manit Zaveri; Clinton J. V. Campbell; Anil Parwani; Liron Pantanowitz; Hamid R. Tizhoosh (Artif. Intell. Medicine, 2022)

Variable Functioning and Its Application to Large Scale Steel Frame Design Optimization. - Amir H. Gandomi; Kalyanmoy Deb; Ronald C. Averill; Shahryar Rahnamayan; Mohammad Nabi Omidvar (CoRR, 2022)

A comprehensive investigation on novel center-based sampling for large-scale global optimization. - Hanan Hiba; Shahryar Rahnamayan; Azam Asilian Bidgoli; Amin Ibrahim; Rasa khosroshahli (Swarm Evol. Comput., 2022)

Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework. - Majid Seydgar; Shahryar Rahnamayan; Pedram Ghamisi; Azam Asilian Bidgoli (IEEE Trans. Geosci. Remote. Sens., 2022)

Block Differential Evolution. - Rasa Khosrowshahli; Shahryar Rahnamayan (CEC, 2023)

Multi-Objective Coordinate Search Optimization. - Farzaneh Nikbakhtsarvestani; Azam Asilian Bidgoli; Mehran Ebrahimi; Shahryar Rahnamayan (CEC, 2023)

ALFA - Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals. - Milad Sikaroudi; Seyedeh Maryam Hosseini; Shahryar Rahnamayan; Hamid R. Tizhoosh (ICCV (Workshops), 2023)

A Pairwise Surrogate Model using GNN for Evolutionary Optimization. - Vida Gharavian; Shahryar Rahnamayan; Azam Asilian Bidgoli; Masoud Makrehchi (SMC, 2023)

Self-Supervised Learning Using Noisy-Latent Augmentation. - Rasa Khosrowshahli; Shahryar Rahnamayan; Azam Asilian Bidgoli; Masoud Makrehchi (SMC, 2023)

Ranking Center-based NSGA-II. - Rasa Khosrowshahli; Shahryar Rahnamayan; Amin Ibrahim; Masoud Makrehchi (SMC, 2023)

Compact NSGA-II for Multi-objective Feature Selection. - Sevil Zanjani Miyandoab; Shahryar Rahnamayan; Azam Asilian Bidgoli (SMC, 2023)

Multi-Objective Binary Coordinate Search for Feature Selection. - Sevil Zanjani Miyandoab; Shahryar Rahnamayan; Azam Asilian Bidgoli (SMC, 2023)

Multi-objective ADAM Optimizer (MAdam). - Farzaneh Nikbakhtsarvestani; Mehran Ebrahimi; Shahryar Rahnamayan (SMC, 2023)

A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning. - Amin Avan; Farnaz Kheiri; Qusay H. Mahmoud; Akramul Azim; Masoud Makrehchi; Shahryar Rahnamayan (SSCI, 2023)

Opposition-Based Crossover Operation for Differential Evolution Algorithm. - Sevda Ebrahimi; Shahryar Rahnamayan; Azam Asilian Bidgoli (SSCI, 2023)

Intrusion Detection for Wireless Sensor Network Using Graph Neural Networks. - Vida Gharavian; Rasa Khosrowshahli; Qusay H. Mahmoud; Masoud Makrehchi; Shahryar Rahnamayan (SSCI, 2023)

Training Artificial Neural Networks by Coordinate Search Algorithm. - Ehsan Rokhsatyazdi; Shahryar Rahnamayan; Sevil Zanjani Miyandoab; Azam Asilian Bidgoli; Hamid R. Tizhoosh (SSCI, 2023)

Enhancing Content-Based Histopathology Image Retrieval Using QR Code Representation. - Hamidreza Rouzegar; Shahryar Rahnamayan; Azam Asilian Bidgoli; Masoud Makrehchi (SSCI, 2023)

Ranking loss and sequestering learning for reducing image search bias in histopathology. - Pooria Mazaheri; Azam Asilian Bidgoli; Shahryar Rahnamayan; Hamid R. Tizhoosh (Appl. Soft Comput., 2023)

Evolutionary Computation in Action: Hyperdimensional Deep Embedding Spaces of Gigapixel Pathology Images. - Azam Asilian Bidgoli; Shahryar Rahnamayan; Taher Dehkharghanian; Abtin Riasatian; Hamid R. Tizhoosh (IEEE Trans. Evol. Comput., 2023)

Progressively Growing Generative Adversarial Network Based Auto-encoder for MRI Image Inpainting. - Farnaz Kheiri; Hamid Esmaeili Najafabadi; Shahryar Rahnamayan (Canadian AI, 2024)

Log Anomaly Detection by Leveraging LLM-Based Parsing and Embedding with Attention Mechanism. - Asma Fariha; Vida Gharavian; Masoud Makrehchi; Shahryar Rahnamayan; Sanaa A. Alwidian; Akramul Azim (CCECE, 2024)

Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning. - Rasa Khosrowshahli; Shahryar Rahnamayan; Beatrice M. Ombuki-Berman (CCECE, 2024)

Exploring Common Patterns in Well-Known Metaheuristic Optimization Algorithms. - Shaghayegh Niousha; Shahryar Rahnamayan; Azam Asilian Bidgoli; Javad Haddadnia (CCECE, 2024)

Exploring Long-term Memory in Evolutionary Multi-objective Algorithms: A Case Study with NSGA-III. - Masoud Kermani Poor; Shahryar Rahnamayan; Azam Asilian Bidgoli; Mehran Ebrahimi (CCECE, 2024)

Feature Selection-driven Bias Deduction in Histopathology Images: Tackling Site-Specific Influences. - Farnaz Kheiri; Azam Asilian Bidgoli; Masoud Makrehchi; Shahryar Rahnamayan (CEC, 2024)

Enhancing Diversity in Multi-Objective Feature Selection. - Sevil Zanjani Miyandoab; Shahryar Rahnamayan; Azam Asilian Bidgoli; Sevda Ebrahimi; Masoud Makrehchi (CEC, 2024)

Opposition-based Multi-Objective ADAM Optimizer (OMAdam) for Training ANNs. - Farzaneh Nikbakhtsarvestani; Shahryar Rahnamayan; Mehran Ebrahimi (CEC, 2024)

COR-MFS: A Correlation-Based Multi-Objective Feature Selection on EEG Signals. - Ananda Sutradhar; Azam Asilian Bidgoli; Shahryar Rahnamayan (CEC, 2024)

Innovative Initialization Scheme for Multi-Objective Feature Selection in Continuous Search Spaces. - Parastoo Dehnad; Azam Asilian Bidgoli; Shahryar Rahnamayan (SMC, 2024)

A Multi-objective Binary Differential Evolution Operator for Feature Selection. - Parastoo Dehnad; Azam Asilian Bidgoli; Shahryar Rahnamayan (SMC, 2024)

Novel Post-Training Structure-Agnostic Weight Pruning Technique for Deep Neural Networks. - Zahra Abdi Reyhan; Shahryar Rahnamayan; Azam Asilian Bidgoli (SMC, 2024)

Optimal Barcode Representation for NLP Embeddings. - Soumen Sinha; Azam Asilian Bidgoli; Shahryar Rahnamayan (SMC, 2024)

Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach. - Azam Asilian Bidgoli; Shahryar Rahnamayan (CoRR, 2024)

A Novel Pareto-optimal Ranking Method for Comparing Multi-objective Optimization Algorithms. - Amin Ibrahim; Azam Asilian Bidgoli; Shahryar Rahnamayan; Kalyanmoy Deb (CoRR, 2024)

Evolutionary multi-objective design of autoencoders for compact representation of histopathology whole slide images. - Davood Zaman Farsa; Shahryar Rahnamayan; Azam Asilian Bidgoli; Hamid R. Tizhoosh (Comput. Oper. Res., 2024)

Artificial bee colony algorithm based on multiple indicators for many-objective optimization with irregular Pareto fronts. - Hui Wang 002; Dong Xiao; Shahryar Rahnamayan; Wei Li 078; Jia Zhao 001 (Expert Syst. Appl., 2025)

Population-level center-based sampling for meta-heuristic algorithms. - Rasa Khosrowshahli; Shahryar Rahnamayan; Amin Ibrahim; Azam Asilian Bidgoli; Masoud Makrehchi (Swarm Evol. Comput., 2025)

A Novel Structure-Agnostic Multi-Objective Approach for Weight-Sharing Compression in Deep Neural Networks. - Rasa Khosrowshahli; Shahryar Rahnamayan; Beatrice M. Ombuki-Berman (CoRR, 2025)

Evolutionary Feature-wise Thresholding for Binary Representation of NLP Embeddings. - Soumen Sinha; Shahryar Rahnamayan; Azam Asilian Bidgoli (CoRR, 2025)