The conventional linear programming model requires the parameters which are known as constants. In the real world, however, the parameters are seldom known exactly and have to be estimated. Linear programming with interval coefficients is one of the tools to tackle uncertainty in mathematical programming models. This paper presents a problem solving linear programming with interval coefficients. The problem will be solved by the algorithm general method to solve linear programming with interval coefficients. Thus, the best and the worst optimum solutions can be obtained, the upper bounds and lower bounds for the optimum value of the main problems can be determine
This paper deals with the Pascal subroutines for solving certain problems in the interval linear pro...
AbstractTwo kinds of optimization problems, which can be used in production planning, have been cons...
Quadratic programming with interval variables is developed from quadratic programming with interval ...
In order to solve a linear programme, the model coefficients must be fixed at specific values, which...
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
Determining the set of all optimal solutions of a linear program with interval data is one of the ma...
Linear Programming problems are solved in the present paper when uncertainty in costs is modelled th...
AbstractIn this paper, we address linear bilevel programs when the coefficients of both objective fu...
This thesis surveys the application of interval arithmetic to linear programming problems and presen...
One of the basic tools to describe uncertainty in a linear programming model is interval linear prog...
In this paper, we study general linear programs in which right handsides are interval numbers. This ...
We consider a linear programming problem, in which possibly all coefficients are subject to uncertai...
Optimization models have been widely applied in statistics. This paper concentrates the interval for...
This thesis combines a traditional concept of linear programming and interval analysis. Interval ana...
Copyright c © 2014 Huiling Duan and Tao Peng. This is an open access article dis-tributed under the ...
This paper deals with the Pascal subroutines for solving certain problems in the interval linear pro...
AbstractTwo kinds of optimization problems, which can be used in production planning, have been cons...
Quadratic programming with interval variables is developed from quadratic programming with interval ...
In order to solve a linear programme, the model coefficients must be fixed at specific values, which...
In optimization, it is used to deal with uncertain and inaccurate factors which make difficult the a...
Determining the set of all optimal solutions of a linear program with interval data is one of the ma...
Linear Programming problems are solved in the present paper when uncertainty in costs is modelled th...
AbstractIn this paper, we address linear bilevel programs when the coefficients of both objective fu...
This thesis surveys the application of interval arithmetic to linear programming problems and presen...
One of the basic tools to describe uncertainty in a linear programming model is interval linear prog...
In this paper, we study general linear programs in which right handsides are interval numbers. This ...
We consider a linear programming problem, in which possibly all coefficients are subject to uncertai...
Optimization models have been widely applied in statistics. This paper concentrates the interval for...
This thesis combines a traditional concept of linear programming and interval analysis. Interval ana...
Copyright c © 2014 Huiling Duan and Tao Peng. This is an open access article dis-tributed under the ...
This paper deals with the Pascal subroutines for solving certain problems in the interval linear pro...
AbstractTwo kinds of optimization problems, which can be used in production planning, have been cons...
Quadratic programming with interval variables is developed from quadratic programming with interval ...