Material parameters identification: Gradient-based, genetic and hybrid optimization algorithms

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Optimization of Cutting Parameters Based on Production Time Using Colonial Competitive (CC) and Genetic (G) Algorithms

A properly designed machining procedure can significantly affect the efficiency of the production lines. To minimize the cost of machining process as well as increasing the quality of products, cutting parameters must permit the reduction of cutting time and cost to the lowest possible levels. To achieve this, cutting parameters must be kept in the optimal range. This is a non-linear optimizati...

متن کامل

Optimization of Cutting Parameters Based on Production Time Using Colonial Competitive (CC) and Genetic (G) Algorithms

A properly designed machining procedure can significantly affect the efficiency of the production lines. To minimize the cost of machining process as well as increasing the quality of products, cutting parameters must permit the reduction of cutting time and cost to the lowest possible levels. To achieve this, cutting parameters must be kept in the optimal range. This is a non-linear optimizati...

متن کامل

A Gradient Projection based Hybrid Constrained Optimization Methodology using Genetic Algorithms∗

Genetic Algorithms (GAs) are a highly successful population based approach to solve global optimization problems. They have carved out a niche for themselves in solving optimization problems of varying difficulty levels involving single and multiple objectives. Most real-world optimization problems involve equality and / or inequality constraints and hence posed as constrained optimization prob...

متن کامل

Hybrid Optimization for 3D Landmark Extraction: Genetic Algorithms and Conjugate Gradient Method

Extra tion:Geneti Algorithms and Conjugate Gradient Method Manfred Alker1, S onke Frantz1, Karl Rohr2, and H. Siegfried Stiehl1 1 Universit at Hamburg, FB Informatik, AB Kognitive Systeme, Vogt-K olln-Str. 30, D-22527 Hamburg, Email: falker,frantz,stiehlg kogs.informatik.uni-hamburg.de 2 International University in Germany, D-76646 Bru hsal, Email: rohr i-u.de Zusammenfassung. Model tting al...

متن کامل

Genetic Algorithms-based Identification

We study genetic algorithms (GAs)-based identiica-tion for nonlinear systems in the presence of unknown driving noise, using both feedforward multilayer neu-ral network models and radial basis function network models. Under perfect state measurements, we rst show that a standard GA-based estimation scheme, in its full potential, even though leading to a satisfactory model for state estimation, ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computational Materials Science

سال: 2008

ISSN: 0927-0256

DOI: 10.1016/j.commatsci.2008.03.028