Danial Yazdani
Danial Yazdani
Department of Computer Science and Engineering, Southern University of Science and Technology
E-mail confirmado em sustc.edu.cn - Página inicial
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A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization
D Yazdani, B Nasiri, A Sepas-Moghaddam, MR Meybodi
Applied Soft Computing 13 (4), 2144-2158, 2013
932013
Fuzzy adaptive artificial fish swarm algorithm
D Yazdani, AN Toosi, MR Meybodi
Australasian Joint Conference on Artificial Intelligence, 334-343, 2010
412010
A new cooperative algorithm based on PSO and k-means for data clustering
M Neshat, SF Yazdi, D Yazdani, M Sargolzaei
Journal of Computer Science 8 (2), 188, 2012
402012
Optimization in Dynamic Environments Utilizing a Novel Method Based on Particle Swarm Optimization
D Yazdani, B Nasiri, R Azizi, A Sepas-Moghaddam, MR Meybodi
International Journal of Artificial Intelligence 11 (A13), 170-192, 2013
372013
mNAFSA: A novel approach for optimization in dynamic environments with global changes
D Yazdani, B Nasiri, A Sepas-Moghaddam, M Meybodi, ...
Swarm and Evolutionary Computation 18, 38-53, 2014
322014
A new artificial fish swarm algorithm for dynamic optimization problems
D Yazdani, MR Akbarzadeh-Totonchi, B Nasiri, MR Meybodi
2012 IEEE Congress on Evolutionary Computation, 1-8, 2012
272012
A new hybrid algorithm for optimization based on artificial fish swarm algorithm and cellular learning automata
D Yazdani, S Golyari, MR Meybodi
2010 5th International Symposium on Telecommunications, 932-937, 2010
262010
Color quantization using modified artificial fish swarm algorithm
D Yazdani, H Nabizadeh, EM Kosari, AN Toosi
Australasian Joint Conference on Artificial Intelligence, 382-391, 2011
242011
A new algorithm based on improved artificial fish swarm algorithm for data clustering
D Yazdani, B Saman, A Sepas-Moghaddam, F Mohammad-Kazemi, ...
International Journal of Artificial Intelligence 11 (13), 1-29, 2013
212013
A novel approach for optimization in dynamic environments based on modified artificial fish swarm algorithm
D Yazdani, A Sepas-Moghaddam, A Dehban, N Horta
International Journal of Computational Intelligence and Applications 15 (02 …, 2016
152016
A new hybrid approach for data clustering
D Yazdani, S Golyari, MR Meybodi
2010 5th International Symposium on Telecommunications, 914-919, 2010
142010
Robust optimization over time by learning problem space characteristics
D Yazdani, TT Nguyen, J Branke
IEEE Transactions on Evolutionary Computation 23 (1), 143-155, 2018
132018
AFSA-LA: a new model for optimization
D Yazdani, MR Meybodi
Proceedings of the 15th Annual CSI Computer Conference (CSICC'10), 20-22, 2010
132010
A new multi-swarm particle swarm optimization for robust optimization over time
D Yazdani, TT Nguyen, J Branke, J Wang
European Conference on the Applications of Evolutionary Computation, 99-109, 2017
122017
Scaling up dynamic optimization problems: a divide-and-conquer approach
D Yazdani, MN Omidvar, J Branke, TT Nguyen, X Yao
IEEE Transactions on Evolutionary Computation 24 (1), 1-15, 2019
112019
Fish swarm search algorithm: A new algorithm for global optimization
D Yazdani, S Sadeghi-Ivrigh, D Yazdani, A Sepas-Moghaddam, ...
Int. J. Artif. Intell. 13 (2), 17-45, 2015
102015
A novel hybrid algorithm for optimization in multimodal Dynamic environments
A Sepas-Moghaddam, A Arabshahi, D Yazdani, MM Dehshibi
2012 12th International Conference on Hybrid Intelligent Systems (HIS), 143-148, 2012
92012
A novel hybrid image segmentation method
A Sepas-Moghaddam, D Yazdani, J Shahabi
Progress in Artificial Intelligence 3 (1), 39-49, 2014
82014
A multilevel thresholding method for image segmentation using a novel hybrid intelligent approach
D Yazdani, A Arabshahi, A Sepas-Moghaddam, MM Dehshibi
2012 12th International Conference on Hybrid Intelligent Systems (HIS), 137-142, 2012
72012
A new hybrid algorithm based on artificial fishes swarm optimization and K-means for cluster analysis
M Neshat, D Yazdani, E Gholami, A Masoumi, M Sargolzae
IJCSI Press, 2011
62011
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