A GUIDED TABU SEARCH FOR PROFILE OPTIMIZATION OF FINITE ELEMENT MODELS

نویسندگان

  • Dadras, A.
  • Kaveh, A.
چکیده مقاله:

In this paper a Guided Tabu Search (GTS) is utilized for optimal nodal ordering of finite element models (FEMs) leading to small profile for the stiffness matrices of the models. The search strategy is accelerated and a graph-theoretical approach is used as guidance. The method is evaluated by minimization of graph matrices pattern equivalent to stiffness matrices of finite element models. Comparison of the results with those of some powerful methods, confirms the robustness of the algorithm.

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

a guided tabu search for profile optimization of finite element models

in this paper a guided tabu search (gts) is utilized for optimal nodal ordering of finite element models (fems) leading to small profile for the stiffness matrices of the models. the search strategy is accelerated and a graph-theoretical approach is used as guidance. the method is evaluated by minimization of graph matrices pattern equivalent to stiffness matrices of finite element models. comp...

متن کامل

Tabu search and finite convergence

We establish finite convergence for some tabu search algorithms based on recency memory or frequency memory, distinguishing between symmetric and asymmetric neighborhood structures. These are the first demonstrations of explicit bounds provided by such forms of memory, and their finiteness suggests an important distinction between these ideas and those underlying certain "probabilistic" procedu...

متن کامل

Comparison of particle swarm optimization and tabu search algorithms for portfolio selection problem

Using Metaheuristics models and Evolutionary Algorithms for solving portfolio problem has been considered in recent years.In this study, by using particles swarm optimization and tabu search algorithms we  optimized two-sided risk measures . A standard exact penalty function transforms the considered portfolio selection problem into an equivalent unconstrained minimization problem. And in final...

متن کامل

Development of a Finite Element Methodology for Flexible Track Models in Railway Dynamics Applications

The dynamic analysis of railway vehicles involves the construction of three independent models: the vehicle model; the track model; and the wheel-rail contact model. In this work, a multibody formulation with Cartesian coordinates is used to describe the kinematic structure of the rigid bodies and joints that constitute the vehicle model. A methodology is also proposed in order to create detail...

متن کامل

Tabu search algorithm for chemical process optimization

This paper presents a meta-heuristic optimization algorithm, Tabu Search (TS), and describes how it can be used to solve a wide variety of chemical engineering problems. Modifications to the original algorithm and constraint handling techniques are described and integrated to extend its applicability. All components of TS are described in detail. Initial values for each key parameter of TS are ...

متن کامل

Tabu Search for Multiobjective Optimization: MOTS

This paper presents the multiobjective tabu search method, MOTS. Being an adaptation of the well known tabu search, it is used heuristically to generate non-dominated alternatives to multiobjective combinatorial optimization problems. MOTS works with a set of current solutions which, through manipulation of weights, are optimized towards the nondominated frontier while at the same time seek to ...

متن کامل

منابع من

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

ذخیره در منابع من قبلا به منابع من ذحیره شده

{@ msg_add @}


عنوان ژورنال

دوره 7  شماره 4

صفحات  527- 537

تاریخ انتشار 2017-10

با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.

کلمات کلیدی

کلمات کلیدی برای این مقاله ارائه نشده است

میزبانی شده توسط پلتفرم ابری doprax.com

copyright © 2015-2023