• Yeruva Ramana Reddy

The primary objective of this study is to discuss the modeling features and interpretation of genetic programming as well as its applicability in geotechnical engineering. The soil-structure systems are endless in terms of the solid medium. To deal with this geometric infinite, many solutions have been devised to reduce the system dimensions. When nonlinearities are included, analyzing an accurate soil-structure system is prohibitively time-consuming [1]. In addition, the boundaries stated are usually only used for basic geometries. For complicated engineering challenges, adopting innovative data-based solutions has attracted numerous significant research efforts in recent years. Using optimized neural networks to solve the soil structure issue is explored in this research as an essential branch of data-based methods. It has been shown that artificial intelligence (AI) can solve numerous geotechnical engineering issues that are above the computing capabilities of classical mathematics and conventional procedures [1] [2]. For geotechnical engineers, genetic programming (GP) is a fascinating AI method used to solve many problems. Recently, GP, drawing inspiration from human evolution, has shown success in modeling various geotechnical engineering issues and outperformed established techniques in terms of accuracy.

Genetic Programming, soil-structure interaction, Artificial intelligence, Artificial Neural Network (ANN)

"Genetic programming for modelling of soil – structure interactions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 9, page no.884-887, September 2015, Available :http://www.jetir.org/papers/JETIR1701825.pdf

"Genetic programming for modelling of soil – structure interactions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 9, page no. pp884-887, September 2015, Available at : http://www.jetir.org/papers/JETIR1701825.pdf