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Journals

2021

1Danial Yazdani, R. Cheng, Donya Yazdani, J. Branke, Y. Jin, X. Yao, " A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades-Part B ," IEEE Transactions on Evolutionary Computation, Vol. 25, No. 4, pp 630-650, 2021. pdf
2 Danial Yazdani, R. Cheng, Donya Yazdani, J. Branke, Y. Jin, X. Yao, " A Survey of Evolutionary Continuous Dynamic Optimization Over Two Decades-Part A ," IEEE Transactions on Evolutionary Computation, Vol. 25, No. 4, pp 609-629, 2021. pdf

2020

3 D. Yazdani, M. N. Omidvar, R. Cheng, J. Branke, T. T. Nguyen, X. Yao, " Benchmarking Continuous Dynamic Optimization: Survey and Generalized Test Suite ," IEEE Transactions on Cybernetics, Early Access, 2020. pdf
4 D. Yazdani, R. Cheng, C. He, J. Branke," Adaptive Control of Subpopulations in Evolutionary Dynamic Optimization ," IEEE Transactions on Cybernetics, Early Access, 2020. pdf
5C. He, R, Cheng, and D. Yazdani, “Adaptive Offspring Generation for Evolutionary Large-Scale Multiobjective Optimization,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, Early Access, 2020.

2019

6D. Yazdani, M. N. Omidvar, J. Branke, T. T. Nguyen, X. Yao, " Scaling Up Dynamic Optimization Problems: A Divide-and-Conquer Approach IEEE Transactions on Evolutionary Computation, Vol. 24, No. 1, pp 1-15, 2019. pdf
7I. Deplano, D. Yazdani, and T. T. Nguyen, “The Offline Group Seat Reservation Knapsack Problem With Profit on Seats,” IEEE Access 7, 152358-152367, 2019.
8D. Yazdani, M. N. Omidvar, I. Deplano, C. Lersteau, A. Makki, J. Wang, and T. T. Nguyen, “ Real-time seat allocation for minimizing boarding/alighting time and improving quality of service and safety for passengers .” Transportation Research Part C: Emerging Technologies, vol. 103, pp. 158-173, 2019.

2018

9D. Yazdani, T. T. Nguyen, J. Branke, " Robust Optimization Over Time by Learning Problem Space Characteristics ," IEEE Transactions on Evolutionary Computation, Vol. 23, No. 1, pp. 143-155, 2018. pdf

2014

10D. Yazdani, B. Nasiri, A. Sepas-Moghaddam, M. R. Meybodi, and M. Akbarzadeh-Totonchi, “mNAFSA: A novel approach for optimization in dynamic environments with global changes,” Swarm and Evolutionary Computation, vol. 18, pp. 38-53, 2014.

2013

11 D. Yazdani, B. Nasiri, R. Azizi, A. Sepas-Moghaddam, and M. R. Meybodi, Optimization in dynamic environments utilizing a novel method based on particle swarm optimization,” International Journal of Artificial Intelligence, vol. 11, pp. 170-192, 2013.
12D. Yazdani, B. Nasiri, A. Sepas-Moghaddam, and M. R. Meybodi, “A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization,” Applied Soft Computing, vol. 13, no. 04, pp. 2144-2158, 2013.

Conference Papers

2018

1 D. Yazdani, J. Branke, M. N. Omidvar, T. T. Nguyen, and X. Yao, “ Changing or keeping solutions in dynamic optimization problems with switching costs ,” in The Genetic and Evolutionary Computation Conference (GECCO). ACM, 2018, pp. 1095-1102.
2D. Yazdani, T. T. Nguyen, J. Branke, and J. Wang, “A multi-objective time-linkage approach for dynamic optimization problems with previous-solution displacement restriction,” in European Conference on the Applications of Evolutionary Computation, K. Sim and P. Kaufmann, Eds. Lecture Notes in Computer Science, 2018, vol. 10784, pp. 864-878.

2017

3D. Yazdani, T. T. Nguyen, J. Branke, and J. Wang, “A new multi-swarm particle swarm optimization for robust optimization over time,” in Applications of Evolutionary Computation, G. Squillero, and K. Sim, Eds. Springer Lecture Notes in Computer Science, 2017, vol. 10200, pp. 99-109.

2012

4D. Yazdani, A. Arabshahi, A. Sepas-Moghaddam, and M. M. Dehshibi, “A multilevel thresholding method for image segmentation using a novel hybrid intelligent approach,” in International Conference on Hybrid Intelligent Systems (HIS). IEEE, 2012, pp. 137-142.
5D. Yazdani, M. R. Akbarzadeh-Totonchi, B. Nasiri, and M. R. Meybodi, “A new artificial fish swarm algorithm for dynamic optimization problems,” in IEEE Congress on Evolutionary Computation (CEC), 2012, pp. 1-8.

2011

6D. Yazdani, H. Nabizadeh, E. M. Kosari, and A. N. Toosi, “Color quantization using modified artificial fish swarm algorithm,” in Australasian Joint Conference on Artificial Intelligence, Advances in Artificial Intelligence, G. Squillero and K. Sim, Eds. Springer Lecture Notes in Computer Science, 2011, vol. 7106, pp. 382-391.

2010

7D. Yazdani, A. N. Toosi, and M. R. Meybodi, “Fuzzy adaptive artificial fish swarm algorithm,” in Australasian Joint Conference on Artificial Intelligence, Advances in Artificial Intelligence, J. Li, Ed. Springer Lecture Notes in Computer Science, 2010, vol. 6464, pp. 334-343.
8D. Yazdani, S. Golyari, and M. R. Meybodi, “A new hybrid approach for data clustering,” in International Symposium on Telecommunications (IST). IEEE, 2010, pp. 914-919.
9D. Yazdani, S. Golyari, and M. R. Meybodi, “A new hybrid algorithm for optimization based on artificial fish swarm algorithm and cellular learning automata,” in International Symposium on Telecommunications (IST). IEEE, 2010, pp. 932-937.

Technical Reports

2021

1 M. N. Omidvar, D. Yazdani, J. Branke, X. Li, S. Yang, X. Yao, "Generating Large-scale Dynamic Optimization Problem Instances Using the Generalized Moving Peaks Benchmark," arXiv preprint arXiv:2107.11019, 2021. pdf , PSO-CTR + Large-scale GMPB MATLAB source code
2 D. Yazdani, J. Branke, M. N. Omidvar, C. Li, M. Mavrovouniotis, T. T. Nguyen, S. Yang, and X. Yao, " Generalized Moving Peaks Benchmark ," arXiv preprint arXiv:2106.06174 . pdf , "GMPB+mQSO" MATLAB source code