a guided tabu search for profile optimization of finite element models

Authors

a. kaveh

a. dadras

abstract

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.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

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...

full text

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...

full text

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...

full text

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...

full text

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 ...

full text

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 ...

full text

My Resources

Save resource for easier access later


Journal title:
international journal of optimaization in civil engineering

جلد ۷، شماره ۴، صفحات ۵۲۷-۵۳۷

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023