contributor author | A. Parkinson | |
contributor author | M. Wilson | |
date accessioned | 2017-05-08T23:27:45Z | |
date available | 2017-05-08T23:27:45Z | |
date copyright | September, 1988 | |
date issued | 1988 | |
identifier issn | 1050-0472 | |
identifier other | JMDEDB-28091#308_1.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/104196 | |
description abstract | The optimization of many engineering design problems requires a nonlinear programming algorithm that is robust, efficient, and feasible at intermediate iterations. Based on the strengths of the generalized reduced gradient (GRG) and sequential quadratic programming (SQP) algorithms, a hybrid SQP-GRG algorithm is developed. The hybrid algorithm uses the SQP search direction and a modified GRG line search. The resulting SQP-GRG algorithm is shown to be robust, feasible at intermediate iterations, and comparable in efficiency to Powell’s SQP algorithm on 26 test problems. | |
publisher | The American Society of Mechanical Engineers (ASME) | |
title | Development of a Hybrid SQP-GRG Algorithm for Constrained Nonlinear Programming | |
type | Journal Paper | |
journal volume | 110 | |
journal issue | 3 | |
journal title | Journal of Mechanical Design | |
identifier doi | 10.1115/1.3267463 | |
journal fristpage | 308 | |
journal lastpage | 315 | |
identifier eissn | 1528-9001 | |
keywords | Algorithms | |
keywords | Nonlinear programming | |
keywords | Quadratic programming | |
keywords | Optimization | |
keywords | Gradients AND Engineering design | |
tree | Journal of Mechanical Design:;1988:;volume( 110 ):;issue: 003 | |
contenttype | Fulltext | |