Damage detection by updating structural models based on linear objective functions

2014 ◽  
Vol 4 (3) ◽  
pp. 165-176 ◽  
Author(s):  
Alireza Entezami ◽  
Hashem Shariatmadar ◽  
Mansour Ghalehnovi
Keyword(s):  
Damage Detection ◽  
Structural Models ◽  
Objective Functions ◽  
Linear Objective Functions

Antioptimization for comparison of alternative structural models and damage detection

AIAA Journal ◽  
1999 ◽  
Vol 37 ◽  
pp. 857-864
Author(s):  
S. N. Gangadharan ◽  
E. Nikolaidis ◽  
K. Lee ◽  
R. T. Haftka ◽  
R. Burdisso
Keyword(s):  
Damage Detection ◽  
Structural Models

scholarly journals Measuring the technical efficiency of local banks in UAE using rough bi-level linear programming technique

2015 ◽  
Vol 1 (1) ◽  
pp. 26
Author(s):  
Doaa Wafik ◽  
O. E. Emam
Keyword(s):  
Decision Making ◽  
Linear Programming ◽  
Technical Efficiency ◽  
Auxiliary Problem ◽  
Optimal Solution ◽  
Objective Functions ◽  
Programming Technique ◽  
Decision Making Problem ◽  
Linear Objective Functions ◽  
Linear Programming Technique

The aim of this paper is to use a bi-level linear programming technique with rough parameters in the constraints, for measuring the technical efficiency of local banks in UAE and Egypt, while the proposed linear objective functions will be maximized for different goals. Based on Dauer's and Krueger's goal programmingmethod, the described approach was developed to deal with the bi-level decision-making problem. The concept of tolerance membership function together was used to generate the optimal solution for the problem under investigation. Also an auxiliary problem is discussed to illustrate the functionality of the proposed approach.

scholarly journals IMPROVING THE AUTOMATIC PROCUREMENT OF WEB SERVICES USING CONSTRAINT PROGRAMMING

2005 ◽  
Vol 14 (04) ◽  
pp. 439-467 ◽  
Author(s):  
ANTONIO RUIZ–CORTÉS ◽  
OCTAVIO MARTÍN–DÍAZ ◽  
AMADOR DURÁN ◽  
M. TORO
Keyword(s):  
Web Services ◽  
Internal Consistency ◽  
Constraint Programming ◽  
Experimental Results ◽  
Objective Functions ◽  
Run Time ◽  
Linear Objective Functions ◽  
Best Offer

Software solutions to automate the procurement of web services are gaining importance when technology evolves, the number of providers increases and the needs of the clients become more complex. There are several proposals in this field, but they all have important drawbacks, namely: many of them are not able to check offers and demands for internal consistency; selecting the best offer usually relies on evaluating linear objective functions, which is quite a naive solution; the language to express offers is usually less expressive than the language to express demands; and, last but not least, providers cannot impose constraints on their clients. In this article, we present a solution to overcome these problems that relies on constraint programming; furthermore, we present a run-time framework, some experimental results, and a comparison with other proposals.

Greedoids and Linear Objective Functions

1984 ◽  
Vol 5 (2) ◽  
pp. 229-238 ◽  
Author(s):  
Bernhard Korte ◽  
László Lovász
Keyword(s):  
Objective Functions ◽  
Linear Objective Functions

scholarly journals OPTIMASI PENJADWALAN WAKTU KERJA MENGGUNAKAN INTEGER PROGRAMMING

2019 ◽  
Vol 7 (2) ◽  
pp. 51-55
Author(s):  
Windra Tahir ◽  
Djihad Wungguli ◽  
Muhamad Rezky Friesta Payu
Keyword(s):  
Integer Programming ◽  
Optimization Technique ◽  
Linear Constraint ◽  
Crumb Rubber ◽  
Integer Programming Problem ◽  
Scheduling Problems ◽  
Objective Functions ◽  
Integer Variables ◽  
Determining Factors ◽  
Linear Objective Functions

Scheduling workers is one of the problems faced by every company. The regulations set by the company, the availability of the number of workers, and the division of labor are the determining factors in the scheduling system. This worker scheduling problem can be modeled as an Integer Programming problem. Integer Programming is an optimization technique with linear objective functions, linear constraint functions, and integer variables. This paper discusses the formulation of worker scheduling problems in the form of Integer Programming with workers in companies engaged in the production of Crumb Rubber with the objective function of minimizing the number of workers employed. The next model is implemented using the help of LINGO 11.0 software. The implementation results show that the model is able to produce optimal employee schedules.

Flexibility-Based Objective Functions for Constrained Optimization Problems on Structural Damage Detection

2011 ◽  
Vol 186 ◽  
pp. 383-387 ◽  
Author(s):  
Xi Chen ◽  
Ling Yu
Keyword(s):  
Damage Detection ◽  
Constrained Optimization ◽  
Objective Function ◽  
Structural Damage ◽  
Optimization Problems ◽  
Objective Functions ◽  
Structural Damage Detection ◽  
Constrained Optimization Problems ◽  
Modal Assurance Criterion ◽  
Damage Scenarios

Based on concepts of structural modal flexibility and modal assurance criterion (MAC), a new objective function is defined and studied for constrained optimization problems (COP) on structural damage detection (SDD) in this paper. Compared with traditionally objective function, which is defined based on natural frequencies and MAC, effect of objective functions on robustness of SDD calculation is evaluated through numerical simulation of a 2-storey rigid frame. Structural damages are identified by solving the COP on SDD based on an improved particle swarm optimization (IPSO) algorithm. Weak and multiple damage scenarios are mainly considered in various noise conditions. Some illustrated results show that the newly defined objective function is better than the traditional ones. It can be used to identify the damage locations but also to quantify the severity of weak and multiple damages in measurement noise conditions.

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