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ORCIDNader Nariman-Zadeh
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2020 – today
- 2024
[j24]Bahman Ahmadi, Ali Jamali
, Rammohan Mallipeddi, Nader Nariman-Zadeh, Behzad Ahmadi, Hamid Khayyam:
Bi-level game theoretic approach for robust design: A case study of path-generating four-bar. Swarm Evol. Comput. 89: 101636 (2024)- 2023
- [j23]Arman Javadian, Nader Nariman-Zadeh, Ali Jamali:
Evolutionary design of marginally robust multivariable PID controller. Eng. Appl. Artif. Intell. 121: 105938 (2023) - [j22]Adel Mohammadi, Nader Nariman-Zadeh, Meghdad Payan, Ali Jamali:
Evaluation of the absolute forms of cost functions in optimization using a novel evolutionary algorithm. Soft Comput. 27(22): 16843-16879 (2023) - 2022
- [j21]Seyed Hamed Ashraf Talesh, Nader Nariman-Zadeh, Ali Jamali:
Multi-objective parametric design of PI/PID controllers via multi-level game-theoretic optimization for systems with time delay. Trans. Inst. Meas. Control 44(13): 2532-2544 (2022) - 2021
- [j20]Moein Radman, Ali Chaibakhsh, Nader Nariman-Zadeh, Huiguang He:
Feature fusion for improving performance of motor imagery brain-computer interface system. Biomed. Signal Process. Control. 68: 102763 (2021) - [j19]Mojtaba Masoumnezhad, Mohammad Tehrani, Ali Reza Akoushideh, Nader Nariman-Zadeh:
A new adaptive fuzzy hybrid unscented Kalman/H-infinity filter for state estimating dynamical systems. IET Signal Process. 15(7): 459-466 (2021) - [j18]Mohammad Aftabi Talami, Ali Jamali, Nader Nariman-Zadeh:
A new method for extracting the state equations from bond graph of dynamical systems (SEBG method). Int. J. Gen. Syst. 50(6): 703-723 (2021) - 2020
- [j17]Adel Mohammadi, Nader Nariman-Zadeh, Ali Jamali:
The archived-based genetic programming for optimal design of linear/non-linear controllers. Trans. Inst. Meas. Control 42(8): 1475-1491 (2020)
2010 – 2019
- 2019
- [j16]Hirad Assimi, Ali Jamali, Nader Nariman-Zadeh:
Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator. Neural Comput. Appl. 31(10): 5729-5749 (2019) - [j15]Mohammad Tehrani, Nader Nariman-Zadeh, Mojtaba Masoumnezhad:
Adaptive fuzzy hybrid unscented/H-infinity filter for state estimation of nonlinear dynamics problems. Trans. Inst. Meas. Control 41(6): 1676-1685 (2019) - 2017
- [j14]Ali Jamali, E. Khaleghi, Iman Gholaminezhad, Nader Nariman-Zadeh, B. Gholaminia, A. Jamal-Omidi:
Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data. J. Intell. Manuf. 28(1): 149-163 (2017) - [j13]Hirad Assimi, Ali Jamali, Nader Nariman-Zadeh:
Sizing and topology optimization of truss structures using genetic programming. Swarm Evol. Comput. 37: 90-103 (2017) - 2016
- [j12]Ali Jamali, E. Khaleghi, Iman Gholaminezhad, Nader Nariman-Zadeh:
Modelling and prediction of complex non-linear processes by using Pareto multi-objective genetic programming. Int. J. Syst. Sci. 47(7): 1675-1688 (2016) - [j11]Mohammad Ebrahim Felezi, S. Vahabi, Nader Nariman-Zadeh:
Pareto optimal design of reconfigurable rice seedling transplanting mechanisms using multi-objective genetic algorithm. Neural Comput. Appl. 27(7): 1907-1916 (2016) - 2014
- [j10]V. Majdabadi-Farahani, M. Hanif, Iman Gholaminezhad, Ali Jamali, Nader Nariman-Zadeh:
Multi-objective optimal design of online PID controllers using model predictive control based on the group method of data handling-type neural networks. Connect. Sci. 26(4): 349-365 (2014) - 2013
- [j9]Mohammad Javad Mahmoodabadi, A. Adljooy Safaie, Ahmad Bagheri, Nader Nariman-Zadeh:
A novel combination of Particle Swarm Optimization and Genetic Algorithm for Pareto optimal design of a five-degree of freedom vehicle vibration model. Appl. Soft Comput. 13(5): 2577-2591 (2013) - [j8]Ali Jamali, M. Ghamati, Bahman Ahmadi, Nader Nariman-Zadeh:
Probability of failure for uncertain control systems using neural networks and multi-objective uniform-diversity genetic algorithms (MUGA). Eng. Appl. Artif. Intell. 26(2): 714-723 (2013) - [j7]Mohammad Javad Mahmoodabadi, S. Arabani Mostaghim, Ahmad Bagheri, Nader Nariman-Zadeh:
Pareto optimal design of the decoupled sliding mode controller for an inverted pendulum system and its stability simulation via Java programming. Math. Comput. Model. 57(5-6): 1070-1082 (2013) - 2012
- [j6]Mohammad Javad Mahmoodabadi, Ahmad Bagheri, Nader Nariman-Zadeh, Ali Jamali, Rahmat Abedzadeh Maafi:
Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm. J. Appl. Math. 2012: 639014:1-639014:22 (2012) - [j5]Behnam Miripour Fard, Ahmad Bagheri, Nader Nariman-Zadeh:
Limit cycle walker push recovery based on a receding horizon control scheme. J. Syst. Control. Eng. 226(7): 914-926 (2012) - 2010
- [j4]Nader Nariman-Zadeh, M. Salehpour, Ali Jamali, E. Haghgoo:
Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA). Eng. Appl. Artif. Intell. 23(4): 543-551 (2010) - [j3]Ali Jamali, A. Hajiloo, Nader Nariman-Zadeh:
Reliability-based robust Pareto design of linear state feedback controllers using a multi-objective uniform-diversity genetic algorithm (MUGA). Expert Syst. Appl. 37(1): 401-413 (2010)
2000 – 2009
- 2009
- [j2]Ali Jamali, Nader Nariman-Zadeh, A. Darvizeh, A. Masoumi, S. Hamrang:
Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process. Eng. Appl. Artif. Intell. 22(4-5): 676-687 (2009) - [c2]Amir Shokuhi-Rad, Nader Nariman-Zadeh, Mohammad Naghash-Zadegan:
Model Development And Optimization Base On Generalized Steady-State Electrochemical Equations For A PEM Fuel Cell. ECMS 2009: 322-327 - 2003
- [j1]Nader Nariman-Zadeh, A. Darvizeh, M. H. Dadfarmai:
Adaptive neurofuzzy inference systems networks design using hybrid genetic and singular value decomposition methods for modeling and prediction of the explosive cutting process. Artif. Intell. Eng. Des. Anal. Manuf. 17(4): 313-324 (2003) - [c1]Nader Nariman-Zadeh, A. Darvizeh, G. R. Ahmad-zadeh:
Modelling of Explosive Welding Process using GMDH-type Neural Networks and Genetic Algorithms. Applied Informatics 2003: 115-120
Coauthor Index
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