Nader Nariman-Zadeh

According to our database1, Nader Nariman-Zadeh authored at least 17 papers between 2003 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.



In proceedings 
PhD thesis 




Multi-objective sizing and topology optimization of truss structures using genetic programming based on a new adaptive mutant operator.
Neural Computing and Applications, 2019

Sizing and topology optimization of truss structures using genetic programming.
Swarm and Evolutionary Computation, 2017

Multi-objective genetic programming approach for robust modeling of complex manufacturing processes having probabilistic uncertainty in experimental data.
J. Intelligent Manufacturing, 2017

Pareto optimal design of reconfigurable rice seedling transplanting mechanisms using multi-objective genetic algorithm.
Neural Computing and Applications, 2016

Modelling and prediction of complex non-linear processes by using Pareto multi-objective genetic programming.
Int. J. Systems Science, 2016

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., 2014

Pareto optimal design of the decoupled sliding mode controller for an inverted pendulum system and its stability simulation via Java programming.
Mathematical and Computer Modelling, 2013

Probability of failure for uncertain control systems using neural networks and multi-objective uniform-diversity genetic algorithms (MUGA).
Eng. Appl. of AI, 2013

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., 2013

Limit cycle walker push recovery based on a receding horizon control scheme.
J. Systems & Control Engineering, 2012

Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm.
J. Applied Mathematics, 2012

Reliability-based robust Pareto design of linear state feedback controllers using a multi-objective uniform-diversity genetic algorithm (MUGA).
Expert Syst. Appl., 2010

Pareto optimization of a five-degree of freedom vehicle vibration model using a multi-objective uniform-diversity genetic algorithm (MUGA).
Eng. Appl. of AI, 2010

Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process.
Eng. Appl. of AI, 2009

Model Development And Optimization Base On Generalized Steady-State Electrochemical Equations For A PEM Fuel Cell.
Proceedings of the European Conference on Modelling and Simulation, 2009

Adaptive neurofuzzy inference systems networks design using hybrid genetic and singular value decomposition methods for modeling and prediction of the explosive cutting process.
AI EDAM, 2003

Modelling of Explosive Welding Process using GMDH-type Neural Networks and Genetic Algorithms.
Proceedings of the 21st IASTED International Multi-Conference on Applied Informatics (AI 2003), 2003