Generalized reduced gradient algorithmSwelling stressThe efficiency and robustness of the generalized reduced gradient (GRG) and the backpropagation (BP) techniques of the evolutionary artificial neural network (ANN) in predicting swelling stress of soil collected from 15 locations across 5 sites in ...
An algorithm for the constrained non-linear programming problem is described. The algorithm, GRGDFP, is based upon the Generalized Reduced Gradient Method of Abadie1 and employs the Davidon-Fletcher-Powell2 Method for the unconstrained optimization. The performance of the method on the Eason and ...
One of the typical strategies used to solve multi-variable problems is the generalized reduced gradient (GRG). In this technique, the decision variable is the vector ofX(x1,x2,…,xn), and the constraints are the functions ofg1,g2,…,gm. The objective function or any constraint function c...
In this paper, the approach of generalized reduced gradient (GRG) nonlinear optimization with best-fit analysis has been applied to tune the COCOMO model cost drivers so that level of accuracy can be achieved. This proposed methodology has been observed more efficiently in providing the software ...
Two optimization methods are evaluated: 1) generalized reduced gradient (GRG) method;and 2) genetic algorithm (GA) optimization method. Results show that rutting and fatigue cracking k values forNorth Carolina HMA mixtures are generally different from national averages. The GA optimization method ...
Generalized Reduced GradientNonlinear ConstraintsSparse Matrix TechniquesDynamic TolerancesThe paper presents CONOPT, an optimization system for static and dynamic large-scale nonlinearly constrained optimization problems. The system is based on the GRG algorithm. All computations involving the ...
CONOPT is a generalized reduced-gradient (GRG) algorithm for solving large-scale nonlinear programs involving sparse nonlinear constraints. The paper will discuss strategic and tactical decisions in the development, upgrade, and maintenance of CONOPT over the last 8 years. A verbal and intuitive ...
CONOPT is a generalized reduced-gradient (GRG) algorithm for solving large-scale nonlinear programs involving sparse nonlinear constraints. The paper will discuss strategic and tactical decisions in the development, upgrade, an...
This study makes a positive contribution to the problem of land cover classification by exploring Generalized Reduced Gradient (GRG) algorithm on hyperspectral datasets by using Washington DC mall and Indiana pines test site of Northwestern Indiana, USA as study sites. The algorithm was used to ...
Estimation of settling velocity using generalized reduced gradient (GRG) and hybrid generalized reduced gradient–genetic algorithm (hybrid GRG-GA)Settling velocitySedimentHybrid GRG-GAActa Geophysica - This study describes the settling velocity phenomenon and deals with the methods for its estimation. The...