Opposition-based learning in the shuffled differential evolution algorithm MA Ahandani, H Alavi-Rad Soft computing 16 (8), 1303-1337, 2012 | 94 | 2012 |
Opposition-based learning in shuffled frog leaping: An application for parameter identification MA Ahandani, H Alavi-Rad Information Sciences 291, 19-42, 2015 | 77 | 2015 |
Hybrid particle swarm optimization transplanted into a hyper-heuristic structure for solving examination timetabling problem MA Ahandani, MTV Baghmisheh, MAB Zadeh, S Ghaemi Swarm and Evolutionary Computation 7, 21-34, 2012 | 51 | 2012 |
Opposition-based learning in the shuffled bidirectional differential evolution algorithm MA Ahandani Swarm and Evolutionary Computation 26, 64-85, 2016 | 49 | 2016 |
Three modified versions of differential evolution algorithm for continuous optimization MA Ahandani, NP Shirjoposh, R Banimahd Soft Computing 15, 803-830, 2010 | 31 | 2010 |
Parameter identification of chaotic systems using a shuffled backtracking search optimization algorithm MA Ahandani, AR Ghiasi, H Kharrati soft computing 22, 8317–8339, 2018 | 27 | 2018 |
Parameter identification of permanent magnet synchronous motors using quasi-opposition-based particle swarm optimization and hybrid chaotic particle swarm optimization algorithms MA Ahandani, J Abbasfam, H Kharrati Applied Intelligence, 1-15, 2022 | 26 | 2022 |
A diversified shuffled frog leaping: an application for parameter identification MA Ahandani Applied Mathematics and Computation 239, 1-16, 2014 | 22 | 2014 |
Decentralized switched model-based predictive control for distributed large-scale systems with topology switching MA Ahandani, H Kharrati, F Hashemzadeh, M Baradarannia Nonlinear Analysis: Hybrid Systems 38, 100912, 2020 | 17 | 2020 |
Various strategies for partitioning of memeplexes in shuffled frog leaping algorithm AM Kashtiban, MA Ahandani 2009 14th International CSI Computer Conference, 576-581, 2009 | 17 | 2009 |
Hybridizing local search algorithms for global optimization MA Ahandani, MT Vakil-Baghmisheh, M Talebi Computational Optimization and Applications 59, 725-748, 2014 | 16 | 2014 |
N. Pourqorban Shirjoposht. R. Banimahd,“job-shop scheduling using hybrid shuffled frog leaping” MA Ahandani Proceedings of the 14th International CSI Computer Conference IEEE, 2009 | 12 | 2009 |
A differential memetic algorithm MT Vakil-Baghmisheh, MA Ahandani Artificial Intelligence Review 41, 129-146, 2014 | 11 | 2014 |
Frequency modulation sound parameter identification using novel hybrid evolutionary algorithms MTV Baghmisheh, MA Ahandani, M Talebi 2008 International Symposium on Telecommunications, 67-72, 2008 | 11 | 2008 |
Chaotic shuffled frog leaping algorithms for parameter identification of fractional-order chaotic systems M Alinia Ahandani, H Kharrati Journal of Experimental & Theoretical Artificial Intelligence 30 (5), 561-581, 2018 | 8 | 2018 |
Hybridizing genetic algorithms and particle swarm optimization transplanted into a hyper-heuristic system for solving university course timetabling problem MA Ahandani, MTV Baghmisheh WSEAS T. Comput 12 (3), 128-143, 2013 | 6 | 2013 |
Job-shop scheduling using hybrid shuffled frog leaping MA Ahandani, NP Shirjoposht, R Banimahd 2009 14th International CSI Computer Conference, 670-675, 2009 | 6 | 2009 |
Hybridizing Genetic Algorithms and Particle Swarm Optimization Transplanted into a Hyper-Heuristic System for Solving University Course Timetabling Problem MA Ahandani, MTV Baghmisheh WSEAS TRANSACTIONS on COMPUTERS 12 (3), 128-143, 0 | 6* | |
Parameter identification of engineering problems using a differential shuffled complex evolution B Pourasghar, MA Ahandani, H Kharrati Artificial Intelligence Review 53, 2749–2782, 2019 | 5 | 2019 |
Design and optimization of a fully differential Cmos variable-gain LNA with differential evolution algorithm for WLAN applications S Ziabakhsh, H Alavi-Rad, MA Ahandani, MCE Yagoub Journal of Circuits, Systems and Computers 23 (09), 1450124, 2014 | 4 | 2014 |