چکیده مقاله
This paper presents a novel approach for the determination of soil classification using a hybrid search algorithm that couples genetic programming GP and simulated annealing SA , as a combined algorithm, called GP/SA Properties of soil namely, plastic limit, liquid limit, color of soil, percentage of gravel, sand, and fine grained particles were used as input variables to the models to determine the classification of soils The odels were developed using a reliable database obtained from the previously published literature The results of GP/SA based formulations were found to be more accurate as compared to the experimental, numerical and analytical results obtained by other researchers
کلیدواژهها
نویسندگان
A.A.R. Heshmati
۱Assistant Professor, College of Civil Engineering, Iran University of Science & Technology IUST ,Tehran, Iran
M. G. Sahab
۲Assistant Professor, College of Civil Engineering, Tafresh University, Tafresh, Iran
A.H. Alavi
۳M Sc Student, College of Civil Engineering, Iran University of Science & Technology IUST , Tehran,Iran
A.H. Gandomi
Research Assistant, College of Civil Engineering, Tafresh University, Tafresh, Iran
شیوه ارجاع
Heshmati, A.A.R. and Sahab, M. G. and Alavi, A.H. and Gandomi, A.H.,1388,Soil Classification Using a Combined Algorithm of Simulated Annealing and Genetic Programming,8th International Congress on Civil Engineering,Shiraz
ارائهشده در
مجموعه مقالات هشتمین کنگره بین المللی مهندسی عمران21 اردیبهشت 1388 · شیراز