A New Hybrid Firefly Algorithm for Foundation Optimization

作者：Khajehzadeh Mohammad^*; Taha Mohd Raihan; Eslami Mahdiyeh

来源：National Academy Science Letters-India, 2013, 36(3): 279-288.

DOI：10.1007/s40009-013-0129-z

• Spread footing
• Optimization
• Firefly algorithm
• Hybridization

This paper presents a new hybrid optimization algorithm by integrating the firefly algorithm (FA) with the sequential quadratic programming (SQP), namely FaSqp, for optimum design of reinforced concrete foundation. The new algorithm combines the global exploration ability of the FA to converge rapidly to a near optimum solution, and the accurate local exploitation ability of the SQP to accelerate the search process and find an accurate solution. This algorithm is applied to minimize two objective functions including total cost and CO2 emissions of the foundation subjected to geotechnical and structural requirements. The reliability and efficiency of the proposed algorithm are investigated by considering a set of six benchmark functions and two design examples of spread footing. The numerical experiments demonstrate that the new algorithm has high viability, accuracy and stability and significantly outperforms the original algorithm.

• 出版日期2013-6