Abstract. A newmethod for obtaining sensitivity information for parametric vector opti-mization problems (VOP)v is presented, where the parameters in the objective functions and anywhere in the constraints. This method depends on using differential equations technique for solving multiobjective nonlinear programing problems which is very effec-tive in finding many local Pareto optimal solutions. The behavior of the local solutions for slight perturbation of the parameters in the neighborhood of their chosen initial values is presented by using the technique of trajectory continuation. Finally some examples are given to show the efficiency of the proposed method. 2000 Mathematics Subject Classification. Primary 90C29, 90C30, 90C31. 1. Introd...
AbstractThis paper provides some results concerning sensitivity analysis in parametrized convex vect...
Proceedings of the Second International Conference on Multi-Objective Programming and Goal Programmi...
Local sensitivity information is obtained for KKT points of parametric NLPs that may exhibit active ...
Abstract. A newmethod for obtaining sensitivity information for parametric vector opti-mization prob...
The nonlinear optimization has becoming of the key technologies of the field of applied mathematics....
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker...
We analyse the sensitivity of differential programs of the form Min f (x) subject to g(x) = b, x ∈ D...
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker...
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker...
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker...
This thesis is a study of convex parametric programs on regions of stability. The main tools are com...
Sensitivity analysis is used to quantify the impact of changes in the initial data of linear program...
textabstractSensitivity analysis is used to quantify the impact of changes in the initial data of li...
In this paper, we study the behavior of the optimal value function associated to a convex minimizati...
In this thesis sensitivity analysis for quadratic optimization problems is stud-ied. In sensitivity ...
AbstractThis paper provides some results concerning sensitivity analysis in parametrized convex vect...
Proceedings of the Second International Conference on Multi-Objective Programming and Goal Programmi...
Local sensitivity information is obtained for KKT points of parametric NLPs that may exhibit active ...
Abstract. A newmethod for obtaining sensitivity information for parametric vector opti-mization prob...
The nonlinear optimization has becoming of the key technologies of the field of applied mathematics....
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker...
We analyse the sensitivity of differential programs of the form Min f (x) subject to g(x) = b, x ∈ D...
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker...
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker...
The paper presents a sensitivity analysis of Pareto solutions on the basis of the Karush-Kuhn-Tucker...
This thesis is a study of convex parametric programs on regions of stability. The main tools are com...
Sensitivity analysis is used to quantify the impact of changes in the initial data of linear program...
textabstractSensitivity analysis is used to quantify the impact of changes in the initial data of li...
In this paper, we study the behavior of the optimal value function associated to a convex minimizati...
In this thesis sensitivity analysis for quadratic optimization problems is stud-ied. In sensitivity ...
AbstractThis paper provides some results concerning sensitivity analysis in parametrized convex vect...
Proceedings of the Second International Conference on Multi-Objective Programming and Goal Programmi...
Local sensitivity information is obtained for KKT points of parametric NLPs that may exhibit active ...