Buscar
Mostrando ítems 1-10 de 1826
Tactical planning of domestic supply chains
(Revista Facultad de Ingeniería Universidad de Antioquia, 2011)
This paper presents a single-period mathematical programming model NLMIP of a 5-stage supply chain with multiple possibilities of organizational ownership that allows several distribution channel links. The objective of ...
A novel approach based on recurrent neural networks applied to nonlinear systems optimization
(Elsevier B.V., 2007-01-01)
This paper presents an efficient approach based on recurrent neural network for solving nonlinear optimization. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the ...
A novel approach based on recurrent neural networks applied to nonlinear systems optimization
(Elsevier B.V., 2007-01-01)
This paper presents an efficient approach based on recurrent neural network for solving nonlinear optimization. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the ...
On the solution of mathematical programming problems with equilibrium constraints
(2002-02-01)
Mathematical programming problems with equilibrium constraints (MPEC) are nonlinear programming problems where the constraints have a form that is analogous to first-order optimality conditions of constrained optimization. ...
On the solution of mathematical programming problems with equilibrium constraints
(2002-02-01)
Mathematical programming problems with equilibrium constraints (MPEC) are nonlinear programming problems where the constraints have a form that is analogous to first-order optimality conditions of constrained optimization. ...
Tactical optimization of the oil palm agribusiness supply chain
(Applied Mathematical Modelling, 2015-02-11)
A dynamic mathematical programming model of the oil palm harvest and extraction supply chain is presented. The model in question has nonlinear and mixed integer features both in its objective function and constraints. The ...
Proximal methods for nonlinear programming: double regularization and inexact subproblems
(SPRINGER, 2010)
This paper describes the first phase of a project attempting to construct an efficient general-purpose nonlinear optimizer using an augmented Lagrangian outer loop with a relative error criterion, and an inner loop employing ...