Genetic Programming Bibliography entries for Ali Jamali

up to index Created by W.Langdon from gp-bibliography.bib Revision:1.7630

GP coauthors/coeditors: Mir Masoud Ale Ali, Amirhossein Asgharnia, Reza Ansari, Rammohan Mallipeddi, Hirad Assimi, Nader Nariman-Zadeh, Iman Gholaminezhad, Esmaeel Khaleghi‬, B Gholaminia, A Jamal-Omidi, Hamid Khayyam, Reza N Jazar, Mohammad S Saeedi, Adel Mohammadi,

Genetic Programming Articles by Ali Jamali

  1. 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 Computing and Applications, 34(2):1345-1357, 2022. details

  2. 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. details

  3. 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. details

  4. 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. details

  5. 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. details

  6. 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. details

  7. 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. details

  8. 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. details

Genetic Programming conference papers by Ali Jamali