|
Abstract
|
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
Submitted: November 17, 2011
Accepted: December 16, 2011
Published: May 01, 2012 |
Abstract:
|
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.
Key words: Gravitational search algorithm, minimum cost, optimization, shallow foundation, , ,
|
|
Abstract
|
PDF
|
HTML |
|
Cite this Reference:
Mohammad Khajehzadeh, Mohd Raihan Taha, Ahmed El-Shafie and Mahdiyeh Eslami, . Optimization of Shallow Foundation Using Gravitational Search Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (09): 1124-1130.
|
|
|
|
 |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
 |
| Information |
|
|
|
|
| Sales & Services |
|
|
|
|
