Quadratic programming with interval variables is developed from quadratic programming with interval coefficients to obtain optimum solution in interval form, both the optimum point and optimum value. In this paper, a two-level programming approach is used to solve quadratic programming with interval variables. Procedure of two-level programming is transforming the quadratic programming model with interval variables into a pair of classical quadratic programming models, namely, the best optimum and worst optimum problems. The procedure to solve the best and worst optimum problems is also constructed to obtain optimum solution in interval form
Interval branch-and-bound solvers provide reliable algorithms for handling non-convex optimization p...
In this paper, we study general linear programs in which right handsides are interval numbers. This ...
AbstractAn interval linear program is (IP): maximize ctx s.t. b-⩽Ax⩽b+, where the matrix A, vectors ...
The conventional linear programming model requires the parameters which are known as constants. In t...
Optimization models have been widely applied in statistics. This paper concentrates the interval for...
The interval programming model (IvP) is a mathematical programmingmodel for representing and solving...
In this paper, two approaches were introduced to obtain Stackelberg solutions for two-level linear f...
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
AbstractAn alternative optimization technique via multiobjective programming for constrained optimiz...
This thesis combines a traditional concept of linear programming and interval analysis. Interval ana...
An alternative optimization technique via multiobjective programming for constrained optimization pr...
Determining the set of all optimal solutions of a linear program with interval data is one of the ma...
Quadratic programming (QP) is one technique that allows for the optimization of a quadratic function...
This thesis surveys the application of interval arithmetic to linear programming problems and presen...
In the existing methods for solving Quadratic Programming Problems having linearly factorized object...
Interval branch-and-bound solvers provide reliable algorithms for handling non-convex optimization p...
In this paper, we study general linear programs in which right handsides are interval numbers. This ...
AbstractAn interval linear program is (IP): maximize ctx s.t. b-⩽Ax⩽b+, where the matrix A, vectors ...
The conventional linear programming model requires the parameters which are known as constants. In t...
Optimization models have been widely applied in statistics. This paper concentrates the interval for...
The interval programming model (IvP) is a mathematical programmingmodel for representing and solving...
In this paper, two approaches were introduced to obtain Stackelberg solutions for two-level linear f...
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
AbstractAn alternative optimization technique via multiobjective programming for constrained optimiz...
This thesis combines a traditional concept of linear programming and interval analysis. Interval ana...
An alternative optimization technique via multiobjective programming for constrained optimization pr...
Determining the set of all optimal solutions of a linear program with interval data is one of the ma...
Quadratic programming (QP) is one technique that allows for the optimization of a quadratic function...
This thesis surveys the application of interval arithmetic to linear programming problems and presen...
In the existing methods for solving Quadratic Programming Problems having linearly factorized object...
Interval branch-and-bound solvers provide reliable algorithms for handling non-convex optimization p...
In this paper, we study general linear programs in which right handsides are interval numbers. This ...
AbstractAn interval linear program is (IP): maximize ctx s.t. b-⩽Ax⩽b+, where the matrix A, vectors ...