Mix proportioning of high-performance concrete by applying the GA and PSO

Subject Areas : International Journal of Smart Electrical Engineering

Alireza  rezaee ¹ (Ph.D. of Electrical Engineering, Islamic Azad university hashtgerd branch, hasthtgerd, Alborz, Iran)
mohamad reza  hasani ahangar ² (Assistant Professor, center of ghadr, Imam hossein university, Tehran, Iran)

Received: 2015-04-12 Accepted : 2015-04-12 Published : 2012-03-01

Keywords:

References:

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overview, 1998.

[2] I. Maruyama, M. Kanematsu, “Optimization of Mix Proportion

of Concrete under Various Severe Conditions by Applying the

Genetic Algorithm”, University of Tokyo, Japan, 2004.

[3] D. Goldberg, Genetic Algorithm in search, optimization and

Machine Learning, Addison Welsley publishing company,

1989.

[4] A. Chipperfield, Genetic algorithm user’s guide for use with

MATLAB, Version 1.2.

[5] J. Singh, PSO MATLAB Toolbox, PSOTOOLBOX Open

Source.2003.

[6] MATLAB, Version 6.5, The Math Works, 2002.