[[abstract]]The efficient set of a multiple objective linear programming problem is usually nonconvex, hence linear optimization over the efficient set problem is classified as a nonlinear optimization problem. This paper presents a modified interior point algorithm for solving linear optimization over the efficient set problems. Using computational experiments, we show that the modified algorithm provides an effective and accurate approach for solving the linear optimization over the efficient set problem.[[fileno]]2020401010020[[department]]工工
peerreview_statement: The publishing and review policy for this title is described in its Aims & Sco...
In the present work we study Interior Point Algorithm used for solving linear problem
The modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorithm for li...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
In this research, we discuss linear and nonlinear programming problems and methods. We have implemen...
In this paper the abstract of the thesis "New Interior Point Algorithms in Linear Programming&...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
International audienceIn nonlinear optimization, interior point methods, also called primal-dual met...
This article describes the current state of the art of interior-point methods (IPMs) for convex, con...
The first comprehensive review of the theory and practice of one of today's most powerful optimizati...
This paper proposes an interior-point algorithm for solving multi-objective linear programming probl...
This paper proposes three numerical algorithms based on Karmarkar’s interior point technique for sol...
AbstractWe introduce two interior point algorithms for minimizing a convex function subject to linea...
peerreview_statement: The publishing and review policy for this title is described in its Aims & Sco...
In the present work we study Interior Point Algorithm used for solving linear problem
The modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorithm for li...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
In this research, we discuss linear and nonlinear programming problems and methods. We have implemen...
In this paper the abstract of the thesis "New Interior Point Algorithms in Linear Programming&...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
During the last fifteen years we have witnessed an explosive development in the area of optimization...
International audienceIn nonlinear optimization, interior point methods, also called primal-dual met...
This article describes the current state of the art of interior-point methods (IPMs) for convex, con...
The first comprehensive review of the theory and practice of one of today's most powerful optimizati...
This paper proposes an interior-point algorithm for solving multi-objective linear programming probl...
This paper proposes three numerical algorithms based on Karmarkar’s interior point technique for sol...
AbstractWe introduce two interior point algorithms for minimizing a convex function subject to linea...
peerreview_statement: The publishing and review policy for this title is described in its Aims & Sco...
In the present work we study Interior Point Algorithm used for solving linear problem
The modern era of interior-point methods dates to 1984, when Karmarkar proposed his algorithm for li...