Sequential quadratic programming and the ASTROS structural optimization system

1998 ◽  
Vol 15 (1) ◽  
pp. 24-32 ◽  
Author(s):  
M. A. Abramson ◽  
J. W. Chrissis
Keyword(s):  
Quadratic Programming ◽  
Structural Optimization ◽  
Sequential Quadratic Programming ◽  
Optimization System

AN APPROACH TO STRUCTURAL OPTIMIZATION—SEQUENTIAL QUADRATIC PROGRAMMING, SQP

1984 ◽  
Vol 8 (1) ◽  
pp. 83-100 ◽  
Author(s):  
L. X. QIAN ◽  
W. X. ZHONG ◽  
K. T. CHENG ◽  
Y. K. SUI
Keyword(s):  
Quadratic Programming ◽  
Structural Optimization ◽  
Sequential Quadratic Programming

VAR compensation by sequential quadratic programming

2003 ◽  
Vol 18 (1) ◽  
pp. 36-41 ◽  
Author(s):  
I. Perez Abril ◽  
J. Gonzelez Quintero
Keyword(s):  
Quadratic Programming ◽  
Sequential Quadratic Programming ◽  
Var Compensation

Design of evolutionary cubic spline intelligent solver for nonlinear Painlevé-I transcendent

2021 ◽  
Author(s):  
Sharafat Ali ◽  
Iftikhar Ahmad ◽  
Muhammad Asif Zahoor Raja ◽  
Siraj ul Islam Ahmad ◽  
Muhammad Shoaib
Keyword(s):  
Differential Equation ◽  
Ordinary Differential Equation ◽  
Genetic Algorithms ◽  
Statistical Analysis ◽  
Quadratic Programming ◽  
Sequential Quadratic Programming ◽  
Process Variation ◽  
Nonlinear Ordinary Differential Equation ◽  
Second Derivative ◽  
Search Technique

In this research paper, an innovative bio-inspired algorithm based on evolutionary cubic splines method (CSM) has been utilized to estimate the numerical results of nonlinear ordinary differential equation Painlevé-I. The computational mechanism is used to support the proposed technique CSM and optimize the obtained results with global search technique genetic algorithms (GAs) hybridized with sequential quadratic programming (SQP) for quick refinement. Painlevé-I is solved by the proposed technique CSM-GASQP. In this process, variation of splines is implemented for various scenarios. The CSM-GASQP produces an interpolated function that is continuous upto its second derivative. Also, splines proved to be stable than a single polynomial fitted to all points, and reduce wiggles between the tabulated points. This method provides a reliable and excellent procedure for adaptation of unknown coefficients of splines by searching globally exploiting the performance of GA-SQP algorithms. The convergence, exactness and accuracy of the proposed scheme are examined through the statistical analysis for the several independent runs.

The OASIS-ALADDIN Structural Optimization System

1993 ◽  
pp. 159-185
Author(s):  
Björn Esping ◽  
Dan Holm ◽  
Odd Romell
Keyword(s):  
Structural Optimization ◽  
Optimization System
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