**Commenced**in January 2007

**Frequency:**Monthly

**Edition:**International

**Paper Count:**30309

##### A New Approach to Solve Blasius Equation using Parameter Identification of Nonlinear Functions based on the Bees Algorithm (BA)

**Authors:**
M.A. Behrang,
M. Ghalambaz,
A.R. Noghrehabadi,
E. Assareh,
A. Ghanbarzadeh

**Abstract:**

**Keywords:**
approximate solutions,
Bees Algorithm (BA),
Blasius Differential Equation

**Digital Object Identifier (DOI):**
doi.org/10.5281/zenodo.1082393

**References:**

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[12] Pham DT, Ghanbarzadeh A, Koc E, Otri S, Rahim S, Zaidi M. The Bees Algorithm, A Novel Tool for Complex Optimisation Problems. in 2nd Int Virtual Conf on Intelligent Production Machines and Systems (IPROMS);2006, pp.454-459.

[13] Pham DT, Ghanbarzadeh A, Koc E, Otri S. Application of the Bees Algorithm to the Training of Radial Basis Function Networks for Control Chart Pattern Recognition. in 5th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering (CIRP ICME '06). Ischia, Italy; 2006, pp. 711-716.

[14] M.A.Behrang, E.Assareh, M.R.Assari, A.Ghanbarzadeh, Total energy demand estimation in Iran using Bees Algorithm. Energy Sources, Part B: Economics, Planning, and Policy. Accepted. DOI: 10.1080/15567240903502594.

[15] Using Bees Algorithm and Artificial Neural Network to Forecast World Carbon Dioxide Emission. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. Accepted. DOI: 10.1080/15567036.2010.493920.

[16] E. Assareh, M.A.Behrang, M.R.Assari, A.Ghanbarzadeh. Application of particle swarm optimization (PSO) and genetic algorithm (GA) techniques on demand estimation of oil in Iran. Energy 35 (2010) 5223- 5229.

[17] M.A. Behrang., E. Assareh, M.R. Assari, M.R., and A. Ghanbarzadeh. Assessment of electricity demand in Iran's industrial sector using different intelligent optimization techniques. Applied Artificial Intelligence 2011; 25: 292-304. doi:10.1080/08839514.2011.559572

[18] M.A. Behrang, E. Assareh, A.R. Noghrehabadi, and A. Ghanbarzadeh. New sunshine-based models for predicting global solar radiation using PSO (particle swarm optimization) technique. Energy 2011; 36: 3036- 3049. doi:10.1016/j.energy.2011.02.048.