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2012 (Vol. 4, Issue: 09)
Article Information:

Optimization of Shallow Foundation Using Gravitational Search Algorithm

Mohammad Khajehzadeh, Mohd Raihan Taha, Ahmed El-Shafie and Mahdiyeh Eslami
Corresponding Author:  Mohammad Khajehzadeh 

Key words:  Gravitational search algorithm, minimum cost, optimization, shallow foundation, , ,
Vol. 4 , (09): 1124-1130
Submitted Accepted Published
November 17, 2011 December 16, 2011 May 01, 2012

In this study an effective method for nonlinear constrained optimization of shallow foundation is presented. A newly developed heuristic global optimization algorithm called Gravitational Search Algorithm (GSA) is introduced and applied for the optimization of foundation. The algorithm is classified as random search algorithm and does not require initial values and uses a random search instead of a gradient search, so derivative information is unnecessary. The optimization procedure controls all geotechnical and structural design constraints while reducing the overall cost of the foundation. To verify the efficiency of the proposed method, two design examples of spread footing are illustrated. To further validate the effectiveness and robustness of the GSA, these examples are solved using genetic algorithm. The results indicate that the proposed method could provide solutions of high quality, accuracy and efficiency for optimum design of foundation.
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  Cite this Reference:
Mohammad Khajehzadeh, Mohd Raihan Taha, Ahmed El-Shafie and Mahdiyeh Eslami, 2012. Optimization of Shallow Foundation Using Gravitational Search Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 4(09): 1124-1130.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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