Afshin Ghanbarzadeh

Orcid: 0000-0002-5197-9752

According to our database1, Afshin Ghanbarzadeh authored at least 12 papers between 2009 and 2021.

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

Timeline

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Bibliography

2021
A novel evolutionary optimization algorithm inspired in the intelligent behaviour of the hunter spider.
Int. J. Comput. Math., 2021

2018
Fibonacci indicator algorithm: A novel tool for complex optimization problems.
Eng. Appl. Artif. Intell., 2018

2015
A modified neuro-evolutionary algorithm for mobile robot navigation: Using fuzzy systems and combination of artificial neural networks.
Int. J. Knowl. Based Intell. Eng. Syst., 2015

2013
A mathematical model for simulation of a water table profile between two parallel subsurface drains using fractional derivatives.
Comput. Math. Appl., 2013

3D Trajectory Planning for a 6R Manipulator Robot Using BA and ADAMS.
Proceedings of the Information Technology Convergence, 2013

2012
A new approach to the electrostatic pull-in instability of nanocantilever actuators using the ADM-Padé technique.
Comput. Math. Appl., 2012

A Hybrid Power Series Artificial Bee Colony Algorithm to Obtain a Solution for Buckling of Multiwall Carbon Nanotube Cantilevers Near Small Layers of Graphite Sheets.
Appl. Comput. Intell. Soft Comput., 2012

2011
Assessment of Electricity Demand in Iran's Industrial Sector Using Different Intelligent Optimization Techniques.
Appl. Artif. Intell., 2011

2009
Wind speed prediction based on simple meteorological data using artificial neural network.
Proceedings of the 7th IEEE International Conference on Industrial Informatics, 2009

Solar radiation forecasting based on meteorological data using artificial neural networks.
Proceedings of the 7th IEEE International Conference on Industrial Informatics, 2009

Estimating gasoline demand in Iran using different soft computing techniques.
Proceedings of the 7th IEEE International Conference on Industrial Informatics, 2009

Coal demand estimating in Iran based on socio-economic indicators using particle swarm optimisation and genetic algorithm.
Proceedings of the 7th IEEE International Conference on Industrial Informatics, 2009


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