Genetic Programming Bibliography entries for Ali Jamali
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GP coauthors/coeditors:
Mir Masoud Ale Ali,
A Asgharnia,
R Ansari,
Rammohan Mallipeddi,
Hirad Assimi,
Nader Nariman-Zadeh,
Iman Gholaminezhad,
E Khaleghi,
B Gholaminia,
A Jamal-Omidi,
Mohammad S Saeedi,
Adel Mohammadi,
Genetic Programming Articles by Ali Jamali
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Mir Masoud Ale Ali and Ali Jamali and A. Asgharnia and R. Ansari and Rammohan Mallipeddi.
Multi-objective Lyapunov-based controller design for nonlinear systems via genetic programming.
Neural Comput. Appl., 34(2):1345-1357, 2022.
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Rammohan Mallipeddi and Iman Gholaminezhad and Mohammad S. Saeedi and Hirad Assimi and Ali Jamali.
Robust controller design for systems with probabilistic uncertain parameters using multi-objective genetic programming.
Soft Comput., 25(1):233-249, 2021.
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Adel Mohammadi and Nader Nariman-Zadeh and Ali Jamali.
The archived-based genetic programming for optimal design of linear/non-linear controllers.
Trans. Inst. Meas. Control, 42(8):1475-1491, 2020.
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Hirad Assimi and Ali Jamali and Nader Nariman-zadeh.
Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator.
Neural Computing and Applications, 31(10):5729-5749, 2019.
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Hirad Assimi and Ali Jamali.
A hybrid algorithm coupling genetic programming and Nelder-Mead for topology and size optimization of trusses with static and dynamic constraints.
Expert Systems with Applications, 95:127-141, 2018.
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Hirad Assimi and Ali Jamali and Nader Nariman-Zadeh.
Sizing and topology optimization of truss structures using genetic programming.
Swarm and Evolutionary Computation, 37:90-103, 2017.
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Ali Jamali and E. Khaleghi and I. Gholaminezhad and Nader Nariman-Zadeh and B. Gholaminia and A. Jamal-Omidi.
Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data.
J. Intelligent Manufacturing, 28(1):149-163, 2017.
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Ali Jamali and E. Khaleghi and I. Gholaminezhad and Nader Nariman-Zadeh.
Modelling and prediction of complex non-linear processes by using Pareto multi-objective genetic programming.
Int. J. Systems Science, 47(7):1675-1688, 2016.
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Genetic Programming conference papers by Ali Jamali
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Iman Gholaminezhad and Ali Jamali and Hirad Assimi.
Automated synthesis of optimal controller using multi-objective genetic programming for two-mass-spring system. In
Second RSI/ISM International Conference on Robotics and Mechatronics (ICRoM 2014), pages 041-046, 2014.
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