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Structural Engineering and Mechanics Volume 50, Number 3, May10 2014 , pages 257-273 DOI: https://doi.org/10.12989/sem.2014.50.3.257 |
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Multi-objective optimization of foundation using global-local gravitational search algorithm |
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Mohammad Khajehzadeh, Mohd Raihan Taha and Mahdiyeh Eslami
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| Abstract | ||
| This paper introduces a novel optimization technique based on gravitational search algorithm (GSA) for numerical optimization and multi-objective optimization of foundation. In the proposed method, a chaotic time varying system is applied into the position updating equation to increase the global exploration ability and accurate local exploitation of the original algorithm. The new algorithm called global-local GSA (GLGSA) is applied for optimization of some well-known mathematical benchmark functions as well as two design examples of spread foundation. In the foundation optimization, two objective functions include total cost and CO2 emissions of the foundation subjected to geotechnical and structural requirements are considered. From environmental point of view, minimization of embedded CO2 emissions that quantifies the total amount of carbon dioxide emissions resulting from the use of materials seems necessary to include in the design criteria. The experimental results demonstrate that, the proposed GLGSA remarkably improves the accuracy, stability and efficiency of the original algorithm. | ||
| Key Words | ||
| spread foundation; cost optimization; CO2 emissions optimization; gravitational search algorithm | ||
| Address | ||
| Mohammad Khajehzadeh : Department of Civil Engineering, Anar Branch, Islamic Azad University, Anar, Iran Mohd Raihan Taha : Department of Civil and Structural Engineering, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia Mahdiyeh Eslami : Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Kerman, Iran | ||