Soil Classification Using a Combined Algorithm of Simulated Annealing and Genetic Programming

سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,189

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شناسه ملی سند علمی:

ICCE08_042

تاریخ نمایه سازی: 28 آبان 1387

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.

کلیدواژه ها:

Soil classification ، Combined genetic programming and simulated annealing ، Neural network ، IS classification system.

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